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UBC Theses and Dissertations

Quantitative adaptive robust control based on a robust frequency domain estimator Wang, Hongtao

Abstract

It is widely appreciated that robust control and adaptive control focus on dealing with system uncertainty but emphasize different aspects. Adaptive control is efficient in eliminating structured uncertainty but has difficulty handling unstructured uncertainty. On the other hand, robust control guarantees the stability for the worst case but ends up with a very conservative design. This thesis will be mainly concerned with the development of a frequency domain quantitative adaptive robust control strategy, which can be viewed as a good combination of adaptive control and robust control to obtain the best closed-loop performance of a stable closed-loop system. The research will consist of two parts. Part one is to develop a new estimation method called frequency domain robust estimator which can improve the frequency function estimate and quantify system uncertainties in the frequency domain Part Two is to implement the quantitative adaptive robust controller based on the information obtained from the robust estimator.

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