Get Eece 574 - Adaptive Control - Model-reference Adaptive Control - An Overview. Lecture Notes

Adaptive control is roughly divided into two categories: direct and indirect. Indirect methods estimate the parameters in the plant and further use the estimated model information to adjust the controller. Direct methods are ones wherein the estimated parameters are those directly used in the adaptive controller.

Adaptive control is roughly divided into two categories: direct and indirect. Indirect methods estimate the parameters in the plant and further use the estimated model information to adjust the controller. Direct methods are ones wherein the estimated parameters are those directly used in the adaptive controller.

The Model Reference Adaptive Control block computes control actions to make an uncertain controlled system track the behavior of a given reference plant model. Using this block, you can implement the following model reference adaptive control (MRAC) algorithms.

Adaptive control detects the changes in the functioning of the process and regulates the controlling parameters automatically to compensate for the altering conditions of the process and, in turn, optimizes the loop response.

Model reference Adaptive Control (MRAC) offers an approach for the solution of problems related to Adaptive Control in real world. By creating a closed loop controller MRAC tries to compare the output of the plant with a standard reference response and various parameters of the plant change with this response.

An adaptive control system automatically compensates for variations in system dynamics by adjusting the controller characteristics so that the overall system performance remains the same, or rather maintained at optimum level. This control system takes into account any degradation in plant performance with time.

An adaptive control system is one in which the controller parameters are adjusted automatically to compensate for changing process conditions (Åström and Wittenmark, 1988). In autotuning, the closed-loop system is periodically tested, and the test characteristics automatically determine new controller settings.

One example of adaptive control is the monitoring of torque to a machine tool's spindle and servomotors. The control unit of the machine tool is programmed with data defining the minimum and maximum values of torque allowed for the machining operation.

Adaptive control is a method in which the response of a controller changes automatically based on changes in conditions within the process. An adaptive controller contains a small computer that is programmed to change the response of the controller when an error is not correct.