Optimal Fuzzy Controller Mapped from LQR under Power and Torque Constraints
Dealing with a LQR controller surface subject to power and torque constraints, is an issue of nonlinear problem that is difficult to implement. This paper employs a fuzzy controller surface to replace the LQR surface subject to power and torque constraints by using class stacking, least square and Sugeno-type fuzzy inference mode. Through this type of transformation, called “Optimal fuzzy controller mapped from LQR”, control of the system remains optimal.
KeywordsLQR FLC Fuzzy Sugeno Optimal Class stacking
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