In this article, we'll walk you through the process of tuning a controller for a nonlinear drive model using the Response Optimizer tool.
Until now, we have considered only linear systems ( part 1 and part 2 ). They are needed to understand the principle of operation of a real (nonlinear) system and a rough definition of its characteristics. However, in practice, one has to deal with a nonlinear model.
(, ), , . ( ) .
, . A, B Z, .
, , , , (PID Tuner). .
.
, , :
( Sensor),
, ( Incremental shaft decoder)
() .
:
- (Overshoot) 8%,
- (Rise time) 0.3 ,
- (Settling time) 0.85 .
Response Optimizer APPS Simulink, CONTROL SYSTEMS.
, . SIMULATE Fast Restart , .
:
MATLAB , , Model Explorer .
.
PID Controller.
Response Optimizer. Model Workspace Data Browser .
. None Design Variables Set.
New.... Create Design Variables Set , β . , , .
Minimum Maximum.
. REQUIREMENTS New TIME-DOMAIN REQUIREMENTS Step Response Envelope.
Specify Step Response Characteristics.
, . Select Signals to Bound . . Speed. . Create Signal Set . .
, .
Data Data Browser : DesignVars , Sig β StepRespEnvelope β .
. Sig Plot Model Response, PLOTS.
, .
. DesignVars OPTIMIZE.
.
( ), , ( ).
.