Indirect Adaptive Control based on DAC Theory

The control of plants subjected simultaneously to uncertain parameter perturbations and large, unknown, unmeasurable external disturbances is a major challenge in the field of adaptive control. In this paper parameter estimation techniques used in traditional Adaptive Control are combined with the disturbance modeling and estimation techniques of Disturbance-Accommodating Control (DAC) to obtain a new kind of high-performance adaptive controller. This new adaptive controller can adapt to a wide variety of unknown, unmeasurable external disturbances that have complex dynamic behavior.