About adaptive inverse control (aic) compensators – MTS Series 793 User Manual

Page 255

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c) Increase Train Convergence Rate and observe the scope.

d) If the training shows a marked improvement in response, increase the Train Convergence Rate (but

keep the setting under 100%) until the system response is optimized. When this occurs, the model has
been adequately trained.

e) Decrease the Convergence Rate to zero (or a value less than 10%).

f) Stop the Function Generator.

8. Track and compensate.

When the model has been trained, you may stop the system and put it into the track state by selecting
APC from the Compensator list.

9. Once the AHC model is trained for a test, click Copy Current Set to Reference Set to save the AHC model

settings to a reference set that can be saved as part of a parameter set.

About Adaptive Inverse Control (AIC) Compensators

Adaptive Inverse Control (AIC) is a linear compensation technique that automatically adjusts a compensation
filter that filters the command signal to achieve the desired response signal. AIC is an effective digital control
technique for improving tracking accuracy in mainly linear servohydraulic test systems.

AIC works well on signals that have a wide frequency content.

AIC adapts quickly and automatically to changes in system dynamics.

AIC works directly from test data created by the test.

Note:

An extended capability version of AIC (AICX) is available for controllers that use Series 494 Controller
Hardware.

AIC theory

The presence of dynamics in a test system can result in large tracking errors, especially at higher frequencies.
The AIC compensator identifies these dynamics and actively adjusts an inverse-dynamics compensation filter
between the function generator and the test system. This active adjustment precorrects the command signal
for system dynamics, resulting in optimal tracking.

While testing, compensation filter adaptation can be switched off once the optimum filter has been determined,
or left on to continue to compensate and track changes in the specimen response.

AIC consists of a Compensation Filter and an Inverse Test System identifier.

MTS Series 793 Control Software 255

Station Setup

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