An adaptive fuzzy control system with supervisory controller is proposed to improve dynamic performance of three-phase active power filter APF . The proposed adaptive fuzzy controller for APF does not build an accuratemathematical model but approximates the nonlinear characteristics of APF using fuzzy approximation. The adaptive law based on the Lyapunov analysis can adaptively adjust the fuzzy...

This paper presents an adaptive stable generalized predictive control using Takagi-Sugeno-Kang (TSK) fuzzy model for nonlinear discrete-time with time-delay systems. This controller is composed of a fuzzy second-order time-delay identifier with on-line parameter estimation, and a stable generalized predictive control with abilities of accurate tracking and disturbance rejection. Numerical simul...

The thin-disc piezoceramic-driving ultrasonic actuator dedicated to a stepping ultrasonic motor is proposed. The mechanical hysteresis and dead-zone phenomena are automatically compensated by a closed loop servo control, i.e. Fuzzy Sliding-Mode Control (FSMC), for position tracking. The controller design of FSMC has syncretized the fuzzy reasoning and sliding mode control with robust stability ...

In this paper, an adaptive fuzzy backstepping controller has been developed for the position tracking control of a permanent magnet synchronous motor (PMSM) drive. Fuzzy logic systems are used to approximate unknown nonlinearities appearing in the control law and an adaptive backstepping technique is employed to construct controller. To illustrate the performance of the proposed controller comp...

One of the most important problems in 3D tracking is the occlusion effect produced by obstacles. To solve this problem, we have developed a tracking system based on optical flow and stereo vision, combinedwith adaptive filters to predict the expected 3D velocities of objects. The critical point of the system is the coupling between tracking and predictive algorithms. We propose the use of a fuz...

This paper addresses the problem of designing robust tracking controls for nonlinear chaotic Chua’s circuits involving plant uncertainties and external disturbances. A hybrid adaptive-robust tracking control scheme which is based upon a combination of the tracking theory, variable structure system (VSS) control algorithm, and adaptive fuzzy control is developed such that all the states and sign...

The precision of multi-axis machining is deeply influenced by the tracking error of multi-axis control system. Since the multi-axis machine tools have nonlinear and time-varying behaviors, it is difficult to establish an accurate dynamic model for multi-axis control system design. In this paper, a novel adaptive fuzzy sliding model controller with dynamic compensation is proposed to reduce trac...

Fuzzy Tracking Control of Linear Dynamical Systems for a fixed reference input under granular derivative

Since the large erecting mechanism has nonlinearities, parameter uncertainties and external disturbance, it is difficult to realize a model-based sliding mode control design. So a fuzzy adaptive sliding mode control scheme which combined fuzzy control with sliding mode control is proposed to achieve nonlinear control of the erecting mechanism. This control scheme is mainly use the fuzzy system ...

This paper presents a control strategy for micro-electro-mechanical systems (MEMS) z-axis gyroscope, based on the coupling of the fuzzy logic control with the so-called sliding mode control (SMC) approach and sliding mode observer. An adaptive model reference state tracking controller which can estimate the angular velocity vector, and the damping and stiffness model coefficients in real-time i...