PROJECT TITLE :

A Novel Optimal Robust Control Design of Fuzzy Mechanical Systems

ABSTRACT:

We tend to 1st investigate the elemental properties of the mechanical system connected to the control design. Then, a new optimal robust control is proposed for mechanical systems with fuzzy uncertainty. Fuzzy set theory is used to describe the uncertainty in the mechanical system. The fascinating system performance is deterministic (assuring the bottom line) with fuzzy (enhancing the price consideration). The proposed management is deterministic and is not the same old if–then rule based. The resulting controlled system is uniformly bounded and uniformly ultimately bounded proved via the Lyapunov minimax approach. A performance index (the combined cost, that includes average fuzzy system performance and control effort) is proposed based mostly on the fuzzy data. The optimal style drawback related to the management can then be solved by minimizing the performance index. The resulting control design is systematic and is in a position to ensure the deterministic performance, as well as minimizing the cost. In the tip, a mechanical system is chosen for demonstration.


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