Fuzzy Logic Deadzone Compensation with Feedback Linearization of Nonlinear Systems  

作　　者：Jun Oh Jang 

机构地区：[1]Department of Software Engineering, Uiduk University, Kyongju, South Korea

出　　处：《Applied Mathematics》2019年第3期87-99,共13页应用数学（英文）

摘　　要：A fuzzy logic compensator is designed for feedback linearizable nonlinear systems with deadzone nonlinearity. The classification property of fuzzy logic systems makes them a natural candidate for the rejection of errors induced by the deadzone, which has regions in which it behaves differently. A tuning algorithm is given for the fuzzy logic parameters, so that the deadzone compensation scheme becomes adaptive, guaranteeing small tracking errors and bounded parameter estimates. Formal nonlinear stability proofs are given to show that the tracking error is small. The fuzzy logic deadzone compensator is simulated on a one-link robot system to show its efficacy.A fuzzy logic compensator is designed for feedback linearizable nonlinear systems with deadzone nonlinearity. The classification property of fuzzy logic systems makes them a natural candidate for the rejection of errors induced by the deadzone, which has regions in which it behaves differently. A tuning algorithm is given for the fuzzy logic parameters, so that the deadzone compensation scheme becomes adaptive, guaranteeing small tracking errors and bounded parameter estimates. Formal nonlinear stability proofs are given to show that the tracking error is small. The fuzzy logic deadzone compensator is simulated on a one-link robot system to show its efficacy.

关 键 词：DEADZONE COMPENSATION Feedback LINEARIZATION Fuzzy LOGIC Stability 

分 类 号：TP1[自动化与计算机技术—控制理论与控制工程]