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Although these types of failures have not been identified during our tests, these are still needed since they portray relevant behaviours of the controller.
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The behaviour of the controller is governed by transition functions.
Furthermore, the behaviour of the controller with the proposed trajectory has been tested for various initial and desired power levels, as well as under disturbance.
The behaviour of the controller during start-up is analyzed in detail including the effect of the limited voltage swing of the controller circuitry.
Comparison of calculated and measured parameters was also used to establish realistic resistances of different MCC components and realistic behaviour of the controllers of the reactor systems.
Then we present executions, to evaluate the behaviours of the synthesized controller.
Along with this controller, a Smith-predictive controller is applied to the plant and the transient and steady-state behaviours of these controllers are compared.
With the stator active current reference increasing and rotor flux reference decreasing from 0.3 to 0.38 s, T e maintains its maximum value of 15 N·m to make n r fall quickly, and then reduces to its reference value, which accords with the expected behaviour of the MPP controller (5).
Numerical results are provided to compare these controllers and to show that the dynamic behaviour of the proposed controller-motor-mechanism systems are robust with respect to external disturbances.
The behaviour of these controllers is not trivial to imagine.
Students may choose among several techniques to experience the behaviour of advanced controller action: adaptive control, GMG control, fuzzy control, self tuning fuzzy control, neural control, neuro-fuzzy control.
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