Abstract
This chapter presents the fuzzy adaptive cancelation control scheme. The use of adaptive control techniques is generally required to obtain a high-performance control system in the case of unknown or poorly known parameters of a controlled process, which might be also time-varying. Adaptive fuzzy controllers can also be categorized into direct and indirect types. The direct type of fuzzy controller can be designed as a self-tuning (self-regulating, self-adjusting) controller. The indirect type of fuzzy adaptive controller is usually based on recursive fuzzy identification. The approach is of the indirect type based on a fuzzy model. The first one is called fuzzy adaptive cancelation control. The second scheme is called fuzzy predictive control. The development of a new fuzzy adaptive scheme is motivated by the unsatisfactory results obtained by using conventional adaptive techniques. In the chapter, the real-time experiments on the heat-exchanger plant show that the novel algorithm introduces faster convergence and better performance in the presence of nonlinearity and unmeasured dynamics. The main disadvantages of this algorithm are the stability analysis, which is still unsolved, and the very complicated fuzzy model in the case of a higher-order system.
Published Version
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