Design of indirect adaptive fuzzy control (IAFC) for nonlinear hysteretic systems
FUZZ-IEEE(2014)
Abstract
Nonlinear hysteretic phenomena occur in many physical systems, such as electronic throttle and solenoid valves in automobiles, piezoelectric sensors, and many other mechanical actuators. In order to handle the nonlinear properties of hysteretic systems, an indirect adaptive fuzzy controller (IAFC) is proposed in this paper. However, it is a hard task to directly identify unknown hysteretic effects. Firstly, to overcome this problem, a hysteretic function is employed to construct the nonlinear properties of backlashlike hysteretic systems. Then the existence of an indirect adaptive controller (IAFC) is derived in this paper. Unlike the existing fuzzy control methods, our proposed IAFC can deal with different kinds of hysteretic problems with adaptive and control laws. Based on the learning algorithm, the adaptive and control laws not only can be derived but the stability of the closed-loop system can also be guaranteed by the Lyapunov stability criterion. Finally, MATLAB software is used for simulations, and the results show that our proposed IAFC can effectively handle the nonlinear properties in some unknown hysteretic systems.
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Key words
hysteretic effects,mechanical actuators,backlash-like hysteretic system,nonlinear hysteretic systems,hysteretic function,lyapunov stability criterion,adaptive law,control system synthesis,iafc design,automobiles,matlab software,control law,adaptive control,nonlinear control systems,electronic throttle,hysteretic effect,backlashlike hysteretic systems,nonlinear hysteretic phenomenon,fuzzy control,solenoid valves,stability,closed-loop system stability,indirect adaptive fuzzy control,indirect adaptive fuzzy controller,closed loop systems,lyapunov methods,learning algorithm,piezoelectric sensors,mathematical model,hysteresis,nonlinear systems,computational modeling,adaptive systems,vectors
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