Model Reference Adaptive Control (MRAC) techniques may be used in high performance applications of nduction-motor (IM) drives to minimize adverse effects from changes in the load conditions and/or system parameters. Although the MRAC technique accounts for uncertainties and/or inaccuracies of the motor and load parameters in the design stage, its implementation on an nteger-based Digital Signal Processor (DSP) has several difficulties associated with the large dynamic range of the covariance matrix and the finite length of the DSP word. This paper investigates new form of a hybrid model reference adaptive speed control (HMRAC) to adapt the closed loop system including the plant with variation parameter to match with the reference model. The adaptive analog controller consists of a set of analog gain controller and a switching controller. The switching controller selects a controller from the set of analog controllers and connects it into the closed loop controlled system suitably. The duty rate of each analog controller will adapt the closed loop controlled system to be coincided with a reference model in reasonable sense. The importance of the hybrid controller is demonstrated by intensive experimental results. It is shown that the presented HMRAC for IM drive has fast tracking capability, smaller steady state error and is robust to load disturbance.
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