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Error Codes (Control Design and Simulation Module)

LabVIEW 2012 Control Design and Simulation Module Help

Edition Date: June 2012

Part Number: 371894G-01

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Control Design Error Codes

The Control Design VIs can return the following error codes. Refer to the KnowledgeBase for more information about correcting errors in LabVIEW.

Code Description
−41813 The set of interior points within the stable set of PID gains is empty. The PID problem might include linear inequalities that cannot be solved, or the numerical search might lack sufficient resolution. Consider increasing the value of Num K Grid Points to better resolve the search region.
−41812 The interior points of the stable set of PID gains are infeasible. This VI computes the interior points by sampling the stable set of PID gains and testing for the minimum gain and minimum phase margins. Consider increasing the value of Num K Grid Points and Num Search Points to better resolve the search region.
−41811 The stable set of PID gains is empty because the K3 interval is infeasible. This VI calculates the stable set of PID gains as a set of planar polygons parameterized by the augmented gain variable K3. No feasible K3 interval exists for the input system(s).
−41804 The input model must be proper.
−41803 The input state-space models must be SISO. This VI computes the stable set for a family of SISO models. MIMO state-space models converted to this form yield meaningless results. Therefore, invoke this VI one SISO channel at a time.
−41802 The inputs of this VI must be discrete models without time delays. Incorporate delays within the model instead.
−41801 The inputs of this VI must be discrete models without time delays. Convert the input models to discrete form.
−41706 The number of inputs and outputs of the first model do not match the number of inputs and outputs of the second model.
−41705 The parallel interconnection with a transfer function model must have the same transport delay.
−41704 The number of inputs (columns) of the first model is not equal to the number of outputs (rows) of the second model.
−41703 The denominator of the transfer function cannot equal zero.
−41702 At least one delay is less than zero.
−41701 The denominator must have one element. You did not specify the denominator in the transfer function. There must be at least one element in the denominator.
−41700 The numerator must have one element. You did not specify the numerator in the transfer function. There must be at least one element in the numerator.
−41699 Matrix R was not provided.
−41698 The dimension of w is not consistent with the dimensions of the stochastic state-space model.
−41697 The dimension of v is not consistent with the dimensions of the stochastic state-space model.
−41695 The cross-covariance matrix is not valid. The compound auto-covariance and cross-covariance matrices must be positive semi-definite.
−41694 The number of rows of E{v} is not of proper dimensions. The dimension of E{v} should equal the number of outputs.
−41693 The number of rows of E{w} is not of proper dimensions. The dimension of E{w} should equal the number of columns of G.
−41692 The dimensions of the covariance matrix are improper.
−41691 The covariance matrix is not positive semi-definite.
−41690 N is not valid. The matrix [Q N; N' R] must be positive semi-definite.
−41689 The pair (Ahat, B) cannot be stabilized.
−41688 The dimensions of the R matrix are not equal to the number of inputs/number of columns of the B matrix.
−41687 The R matrix is not positive definite.
−41686 The R matrix is not symmetric.
−41685 The Q matrix is not symmetric.
−41684 The covariance matrix is not symmetric.
−41681 The number of rows of the gain do not equal the number of outputs of the system model.
−41680 The number of columns of the gain do not equal the number of inputs of the system.
−41679 The system model does not have an input.
−41678 The index specified in the input, output, or state vector is greater than the maximum system dimension.
−41677 The required system matrix D was not provided.
−41676 The required system matrix C was not provided.
−41675 The required system matrix B was not provided.
−41674 The required system matrix A was not provided.
−41673 The number of columns for matrices R and Q must be identical in the Lyapunov equation.
−41672 The number of rows for matrices P and Q must be identical in the Lyapunov equation.
−41671 Matrix R is not square in the Lyapunov equation.
−41670 Matrix P is not square in the Lyapunov equation.
−41669 Ackermann is valid for single-output system models only. For Observer Gain, C must have one row.
−41668 The system model is not single-output.
−41667 The system model is not single-input.
−41666 The number of rows in D is not equal to the number of outputs.
−41665 The number of columns in D is not equal to the number of inputs
−41664 The number of columns in the regulator gain K does not equal the number of states.
−41663 The number of rows in the regulator gain K does not equal the number of inputs.
−41662 The number of rows in N is not equal to the dimension of the noise vector w (Nw).
−41661 The number of columns in N is not equal to the number of outputs.
−41660 The dimensions of R are not equal to number of outputs in the system model.
−41659 The number of rows in N is not equal to the number of outputs. The number of rows in N is the number of outputs that the cost function weights.
−41658 A is ill-conditioned. You cannot calculate its inverse.
−41657 The system model is marginally stable. Calculations require a stable system model.
−41656 The system model is not stable. Calculations require a stable system model.
−41655 The pair [A B] or [A C] is not controllable or observable.
−41654 The number of rows in H is not equal to the number of outputs.
−41653 The number of rows in G does not equal the number of states in the system model.
−41652 The number of columns in G and H must be equal.
−41651 The dimensions of Q are not equal to the dimension of the process noise. Matrix Q must be square with dimensions identical to the dimension of the noise vector w.
−41650 The dimensions of Q do not equal the number of outputs. Matrix Q must be square with a dimension equal to the number of outputs.
−41649 The compound noise covariance matrix, [G O; H I]*[Q N; N' R]*[G O; H I], is not positive semi-definite.
−41648 The noise covariance matrix is not positive definite.
−41647 The number of columns of the Kalman gain, L, is not equal to the number of outputs in the system model.
−41646 The number of rows of the Kalman gain, L, is not equal to the number of states in the system model.
−41645 The sampling time number is not the same. Both system models must be continuous or have the same sampling time.
−41644 The Hamiltonian matrix is not square. The Hamiltonian matrix must be a square of dimension 2n x 2n, where n is the number of states.
−41643 The system model is not observable so you cannot calculate the matrix transformation T.
−41642 The number of columns in N is not equal to the number of inputs/number of columns of B.
−41641 The number of rows in N is not equal to the number of states/dimensions of A.
−41640 Matrix R is not square.
−41639 The control weighting matrix R must be positive definite and have dimensions equal to the number of inputs.
−41638 Matrix Q is not square.
−41637 The dimensions of Q are not equal to the dimensions of A, which also are the number of states.
−41636 The number of columns in C is not equal to the number of states.
−41635 Matrix A is not square. The matrix A must be square.
−41634 The system model is not controllable so you cannot calculate the matrix transformation T.
−41633 The number of closed-loop poles does not equal the number of columns in matrix A.
−41632 Ackermann is valid for single-input system models only. For controller gain, B must have one column.
−41631 The number of rows in B is not equal to the dimensions of A, which also are the number of states.
−41630 One or more complex numbers does not have its complex conjugate.
−41629 Matrix Q was not provided. You must specify the required matrix Q.
−41628 The pair (Ahat, B1) cannot be stabilized.
−41627 The pair (C1, Ahat) is not detectable.
−41626 Nbar is not valid because the matrix [Qbar - Nbar.inv(Rbar).Nbar'] is not positive semi-definite.
−41625 Rbar is not positive definite.
−41624 The R matrix is not positive semi-definite.
−41623 The transformation matrix is not invertible.
−41578 The number of final constraints does not match the number of constrained variables.
−41577 The number of initial constraints does not match the number of constrained variables.
−41576 The size of a weight factor vector does not match the size of the corresponding weight matrix.
−41575 At least one of the weight matrices in the cost function is not square.
−41574 The size of the input change weight matrix in the cost function does not match the number of inputs in the controller model.
−41573 The size of the input weight matrix in the cost function does not match the number of inputs in the controller model.
−41572 The size of the output weight matrix in the cost function does not match the number of outputs in the controller model.
−41571 The initial conditions used to initialize the model predictive controller do not match the dimensions of the model system matrices in the controller.
−41570 The input frequency vector must be greater than zero.
−41569 The closed-loop transfer function cannot be calculated. The output Y is not a function of the input U when a feedback connection is implemented. Therefore, the closed-loop transfer function cannot be calculated.
−41568 The number of elements in the initial condition vector does not match the number of outputs in the system model.
−41567 The size of the time vector is too large. The given initial time (t0), final time (tf), or time step (dt) require the size of the time vector to be greater than the maximum allowable size.
−41566 The initial frequency is greater than the final frequency. The initial frequency must be less than the final frequency.
−41565 The initial gain must be less than the final gain. The initial gain you entered is greater than the final gain you entered. The initial gain must be less than the final gain.
−41564 dB drop has to be negative. For a bandwidth calculation, the db drop has to be a negative number.
−41563 The size of the frequencies vector and response vector is not equal.
−41562 The interpolation frequency does not lie within the range of the frequencies. The interpolation frequency does not lie within the range of frequencies specified by the frequencies vector.
−41561 The Gaussian White Noise matrix must be a positive semi-definite matrix and must have the same number of rows as the number of inputs to the system.
−41560 The system model has infinite covariance due to direct feedthrough. The system model has direct feedthrough, which means the matrix D is not zero. Continuous system models with direct feedthrough have infinite covariance.
−41559 The number of inputs applied to the system model does not equal the number of inputs in the system model. The columns of matrices B and D in a state-space model or the columns in transfer function or zero-pole-gain arrays must equal the number of applied inputs.
−41558 The number of applied inputs does not match the number of inputs in the system model. Columns of matrices B and D in a state-space model or columns in transfer function or zero-pole-gain arrays must equal the number of applied inputs.
−41557 The number of initial states does not match the number of states of the system model.
−41556 All waveforms must have the same dt and t0. All the input waveforms must have the same sampling time, dt, and initial time, t0.
−41555 The time step (dt) and sampling time of the discrete system model must be equal.
−41554 The time step (dt) must be less than the final time (tf).
−41553 The time step (dt) must be greater than zero.
−41552 The initial time (t0) must be greater than or equal to zero.
−41551 The final time (tf) must be greater than the initial time (t0).
−41550 Input system model must be a single-input single-output (SISO) model.
−41529 Sampling time cannot be undefined (–1).
−41528 The matrix exponential calculation overflowed.
−41527 The model has discrete poles at zero.
−41526 The model has a pole at 1 with multiplicity greater than 6.
−41525 The model has a negative real pole with multiplicity greater than 2.
−41524 The sampling time must be greater than zero.
−41523 There is a repeated connection between interconnected models.
−41522 The system model must be proper to perform this function.
−41521 The system model has a delay. This VI does not support system models with delays.
−41520 The system model has a transport delay. This VI does not support system models with transport delays.
−41519 The system model has an output delay. This VI does not support system models with output delays.
−41518 The system model has an input delay. This VI does not support system models with input delays.
−41517 The system model must be a second order system model.
−41516 The system model is not square. The number of inputs does not equal the number of outputs.
−41515 All variable names must begin with alphabetical letters.
−41514 The sampling time for this transformation produces an ill-conditioned system model.
−41513 The frequency must be greater than zero.
−41512 The order of the polynomial must be greater than zero.
−41511 The system model must be continuous. To use this VI, the sampling time of the system model must equal to zero.
−41510 The system model must be discrete. To use this VI, the sampling time of the system model must not equal zero.
−41509 The dimension of output delay vector does not equal the number of outputs of the system model.
−41508 The dimension of the input delay does not equal the number of inputs of the system model.
−41507 The dimensions of the input/output delay matrices must equal the number of inputs and outputs of the system model.
−41506 The delay in the discrete system model must be an integer. The delay in discrete system model must be an integer multiple of the sampling time.
−41505 The number of inputs or outputs exceeds the total inputs or outputs of system model.
−41504 The number of outputs of the existing system model does not equal the number of outputs of the supplied system model. Dimensions of matrices C and D of each system model must be compatible.
−41503 The number of inputs of the existing system model does not equal the number of inputs of the new system model. Dimensions of matrices B and D of each system model must be compatible.
−41502 The number of states of the existing system model does not equal the number of states of the supplied system model. Dimensions of the matrix A of each model must be compatible.
−41501 The system model is discrete. The input system model needs to be a continuous system so you can convert it into its discrete equivalent. However the input system model is already discrete.
−41500 Sampling time cannot be negative. The sampling time must be greater than or equal to zero, but the value you supplied is negative.
41500 This VI does not support system models with delays. The delay information was ignored.
41501 The system model has a transport delay. This VI does not support system models with transport delays. The transport delay was ignored.
41502 The system model has an input delay. This VI does not support system models with input delays. The input delay was ignored.
41503 The system model has an output delay. This VI does not support system models with output delays. The output delay was ignored.
41504 The delay information was ignored.
41505 The system model is not proper. The order of the numerator polynomial is greater than the order of the denominator polynomial.
41506 Fractional delays in the discretization process were ignored.
41507 The second connector is ignored as the second system model is undefined.
41508 The components of the transport delay matrix could not all be distributed. The residual transport delay matrix contains nonzero elements.
41509 The converted model has a low conditioning index, which could indicate an inaccurate conversion by this method. Consider using another conversion method.
41510 The conversion of the stable continuous model resulted in an unstable discrete-equivalent model. The matching frequency must be less than pi/T for the stable continuous model to convert to a stable discrete-equivalent.
41511 The conversion of the stable discrete model resulted in an unstable continuous-equivalent model. The matching frequency must be less than pi/T for the stable discrete model to convert to a stable continuous-equivalent.
41550 The phase margin is infinite. The gain does not cross 0 dB; therefore, the phase margin is infinite.
41551 The gain margin is infinite. The phase does not cross -180 degrees; therefore, the gain margin is infinite.
41552 Magnitude does not drop below given dB value. The bandwidth cannot be determined because the magnitude does not drop below the given dB value.
41553 The actual final time (tf) is different from the supplied value. The values of the time step (dt) and the initial time (t0) cause the actual value of final time (tf) to be different from the supplied value.
41554 The 2-norm is infinite because the system model is not stable.
41555 The infinity norm is infinite because the system model is marginally stable. The continuous system model has poles on an imaginary axis, or the discrete system model has poles on the unit circle.
41556 This VI did not plot the closed-loop roots for large gain values.
41557 The final frequency was reduced to equal the Nyquist frequency of the discrete system model.
41558 The given time step (dt) and vector size limitations caused a reduction in the final time from its ideal value.
41559 The time step (dt) is not ideal. The time step (dt) is not ideal because of the large final time needed to show the complete dynamics of response.
41560 Initial conditions were ignored. The outputs are linearly dependent. The matrix C of the system model is not full row rank.
41561 Initial conditions were ignored. Initial conditions were ignored because the system model is not strictly proper.
41562 The system model has infinite covariance due to direct feedthrough. The system model has direct feedthrough, which means the matrix D is not zero. Continuous system models with direct feedthrough have infinite covariance.
41630 The matrices Q and/or R are close to zero norm.
41631 The system model has no specified states.
41632 The system model has no specified inputs.
41633 The system model has no specified outputs.
41634 Measured outputs and known/manipulated inputs ignored. When in stand-alone configuration, the measured outputs, known inputs, and manipulated inputs are ignored.
41635 The user-defined threshold has been surpassed. The Control Design and Simulation Module could not place the poles in the requested location.
41729 This VI changed the denominator to one because the numerator is zero.
41799 Invalid inputs or outputs were ignored in producing the plots. The inputs or outputs/states that exceeded the total number of input or outputs/states of the system model were ignored in producing the plots.

Simulation Error Codes

The Simulation VIs and functions can return the following error codes. Refer to the KnowledgeBase for more information about correcting errors in LabVIEW.

Code Description
–2391 Failed to write the model parameter.
–2390 Failed to read the model parameter.
–2389 Cannot read from or write to the specified model parameter because its source is a wired terminal. To read or write the parameter, change its source to Configuration Dialog Box or remove the wire to the terminal.
–2388 No parameter exists at the path you specified. Make sure you specify a valid path to a parameter.
–2387 The VI that contains the simulation diagram must be either running or reserved for execution. Otherwise, the Access Model Hierarchy function cannot access parameters.
–2386 The Access Model Hierarchy function is not supported on the current target.
–2385 The dimension of the constraint input vector does not match the dimension of the implicit output vector.
−2384 The dimensions of the initial states vector and the initial derivatives vector do not match.
−2383 The shared library for the custom ODE solver is missing a callback function.
−2382 The LabVIEW Control Design and Simulation Module cannot load the shared library for the custom ODE solver.
−2381 The polynomial order of both the numerator and the denominator of the linear time-invariant (LTI) model must be greater than zero.
−2380 The dimension of the multiple-input multiple-output (MIMO) linear time-invariant (LTI) model must be greater than zero.
−2379 The final time of the simulation cannot be equal to NaN.
−2378 The delay must be greater than or equal to zero.
−2377 The LabVIEW Control Design and Simulation Module ignores delay properties you specify in a state-space, transfer function, or zero-pole-gain model data type.
−2376 The transport delay is configured in a non-deterministic manner. If determinism is required, consider choosing a finite value for either the final time of the simulation or for the maximum delay of the transport delay block.
−2375 The Auto Period checkbox on the Timing Parameters page of the Configure Simulation Parameters dialog box contains a checkmark. However, the step size is not a multiple of the period of the source clock.
−2374 The negative slew rate must be less than or equal to the positive slew rate.
−2373 The version of LabVIEW you installed for this embedded device supports only the 1 kHz timing source of the Control & Simulation Loop. To achieve loop rates other than 1 kHz, you must specify an external timing source.
−2372 The index table for a lookup table (LUT) must be non-decreasing.
−2371 The discrete sample period of each discrete function must be an integer multiple of the overall discrete step size of the simulation.
−2370 A single-input single-output (SISO) state-space model requires a B matrix with only one column, a C matrix with only one row, and a D matrix with only one element.
−2369 The model you specified requires direct feedthrough. Open the configuration dialog box of this function and set the Feedthrough parameter to Direct.
−2367 The shared library corresponding to the external model returned an error.
−2366 The External Model function returned an error.
−2365 The order of the linear time-invariant (LTI) model must remain the same from the previous iteration.
−2364 The dimension of the multiple-input multiple-output (MIMO) linear time-invariant (LTI) model must remain the same from the previous iteration.
−2363 A state-space model with indirect feedthrough requires an empty or zero D matrix.
−2362 The number of channels must match the number of inequality constraints.
−2361 Insufficient number of user-defined reference points. Ensure that any user-defined reference points are equally spaced according to the Initial Time, Final Time, and Step Size subparameters of the Solver Parameters parameter.
−2360 To use the Discrete States Only ODE solver, the simulation diagram must not contain any continuous functions.
−2359 The discrete step size must be an integer multiple of the continuous step size. Set the discrete step size to an integer multiple of the continuous step size. If you are using Auto Discrete Time, ensure that all discrete functions on the simulation diagram have a sample period (s) that is an integer multiple of the continuous step size.
−2358 A discrete function cannot accept a continuous model.
−2357 A continuous function cannot accept a discrete model.
−2356 The sample period (sec) must be either –1 or positive. If the sample period (sec) is positive, the sample skew (sec) must be greater than or equal to 0 and less than the sample period (sec).
−2355 The value of the Decimation parameter for the Collector function must be greater than or equal to 1.
−2354 The number of elements in the input array does not equal the number of columns in the gain matrix.
−2353 You cannot change the maximum delay while the simulation is running.
−2352 The delay must be less than or equal to the specified maximum delay.
−2351 The specified parameter is a vector. Enter a vector value.
−2350 The specified parameter is a scalar. Enter a scalar value.
−2349 The parameter name is not in the specified parameter list.
−2348 The given State Derivatives parameter is incompatible with the specified subsystem.
−2347 The given Outputs parameter is incompatible with the specified subsystem.
−2346 The given Inputs parameter is incompatible with the specified subsystem.
−2345 The given States parameter is incompatible with the specified subsystem.
−2344 The given Outputs parameter is incompatible with the specified subsystem.
−2343 The given Inputs parameter is incompatible with the specified subsystem.
−2342 The given States parameter is incompatible with the specified subsystem.
−2341 The initial time of the simulation cannot be greater than or equal to the final time.
−2340 The linearizer detected an internal error.
−2339 Selected solver cannot handle implicit functions. The solver you have specified does not support differential algebraic equations (DAEs). Use the Configure Simulation Parameters dialog box to select a different solver.
−2338 The ODE solver detected an internal error.
−2337 You can linearize only simulation subsystems.
−2336 The simulation diagram returned NaN to the ODE solver.
−2335 The simulation diagram returned Inf to the ODE solver.
−2334 An overflow occurred in the ODE solver.
−2333 The step size must be between the minimum and maximum step size.
−2332 The minimum step size must be less than or equal to the maximum step size.
−2331 The absolute tolerance and relative tolerance cannot both be zero.
−2330 The discrete step size must be an integer multiple of the step size.
−2329 The simulation step size cannot be zero.
−2328 You can use the Linearize Subsystem dialog box only on simulation subsystems.
−2327 You can use the Linearize Subsystem dialog box only if you have created a VI under My Computer in the Project Explorer.
−2326 An internal error has occurred within the LabVIEW Control Design and Simulation Module. If the problem persists, contact National Instruments technical support.
−2325 The ODE solver did not converge at the minimum step size.
−2324 The ODE solver cannot meet the error tolerance using the minimum step size.
−2323 The simulation step size must be greater than zero.
−2322 The discrete delay must be greater than zero and less than or equal to the maximum delay. If the maximum delay is –1, then the delay at the start of the simulation is used as the maximum delay during the simulation.
−2319 The dimensions of the arrays for the lookup table are inconsistent.
−2318 The dimensions of the parameter vectors of this function do not match.
−2317 You selected a feedthrough behavior that is inconsistent with the specified discrete integration method. Launch the configuration dialog box for this function and change the Feedthrough or Discrete Integrator parameter.
−2316 The order of the numerator must be less than or equal to the order of the denominator.
−2315 You must match complex entries in the Zero-Pole-Gain function with complex conjugates.
−2314 For a transfer function with indirect feedthrough behavior, the order of the numerator must be strictly less than the order of the denominator.
−2313 The size of the initial condition vector is incorrect.
−2312 The size of the input vector is incorrect for the MIMO system.
−2311 The order of the model must not change from the previous iteration of the Control & Simulation Loop.
−2310 The dimensions of matrices A, B, C, and D are not consistent with each other.
−2309 The period for this function must be greater than zero.
−2308 The duty cycle must be between 0% and 100%.
−2306 The frequency for this function must be greater than zero.
−2305 The target time for the Chirp Signal function must be greater than the simulation initial time.
−2304 The upper limit for the Saturation function must be greater than or equal to the lower limit.
−2303 The switch-on point for the Relay function must be greater than or equal to the switch-off point.
−2302 The quantization interval for the Quantizer function must be greater than zero.
−2301 The Simulation Model Converter failed to properly convert an expression.
2345 The Trim function could not meet a specific constraint applied to the variable.

 

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