Model reference adaptive control with Adaptive Parametric Black Box Controller

In this paper, a method for adapting conventional controller are used to adapt an adaptive parametric black box controller (APBB). The APBB controller will be adapted such that the plant should follow a desired trajectory which is given by a reference model. The parameters of APBB controller are estimated by using recursive least square method. The estimation goal is for the parameters to converge to ideal values that cause the plant response to match the response of the reference model. The output of the system is compared to a desired response from a reference model. The control parameters are update based on this error. Simulation results discover that APBB controller is adequate to control both linear dependent and independent structure with unpredictable conditions and disturbances.