Disturbance Rejection in Deadbeat Predictive Control

S. Chinvorarat (Thailand) and M.P. Schoen (USA)


disturbance rejection, predictive control


The paper presents a deadbeat predictive control algorithm with the ability of disturbance rejection. A multi-step output predictor is generated to derive the identified matrix by a standard lest-square technique. Since the method combines together the concepts of system identification and a deadbeat predictive controller design, there is no need to identify the mathematical model of the system before building a control signal. The control force, however, is also calculated in terms of the input/output time histories. The formulation satisfies simultaneously system identification and predicitive controller design. The numerical example is shown the excellence results for damping out the disturbance input.

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