In this paper, we design fuzzy sliding mode controller by real-value genetic algorithms. In the process of designing the proposed controller, we firstly employ the sliding mode control technique to design the fuzzy rules, so that the fuzzy controller has the characteristics of stability and robustness. Next, we adopt the Takagi-Sugeno’s fuzzy mode to construct the fuzzy control rules and to obt...

In recent years, expansion of power system is not as par the need of power demand which has increased substantially [3]. As a consequence, existing transmission lines are heavily loaded and the stability of the system ecomes a power transfer-resisting factor. Flexible AC transmission systems (FACTS) controllers have been mainly designed to solve such type of power system steady state controllin...

* Department of Teacher Training in Electrical Engineering, Faculty of Technical Education, King’s Mongkut Institute of Technology North Bangkok. Abstract This paper describes fuzzy sliding-mode control (FSMC), a fuzzy logic control based upon variable structure techniques. A variable structure approach is designed with guaranteed stability properties. A ball and beam system is used here as an ...

This paper reviews the development of fuzzy systems and the problem of time delay control in nonlinear systems. Based on this review, a fuzzy Lyapunov method defined in fuzzy blending quadratic Lyapunov functions is proposed from which to derive stability conditions. In the controller procedure, a parallel distributed compensation (PDC) scheme is utilized to construct a global fuzzy logic contr...

this study proposes a combination of a fuzzy sliding mode controller (fsmc) with integral-proportion-derivative switching surface based superconducting magnetic energy storage (smes) and pid tuned by a multi-objective optimization algorithm to solve the load frequency control in power systems. the goal of design is to improve the dynamic response of power systems after load demand changes. in t...

Fuzzy control of robot manipulators with a decentralized structure is facing a serious challenge. The state-space model of a robotic system including the robot manipulator and motors is in non-companion form, multivariable, highly nonlinear, and heavily coupled with a variable input gain matrix. Considering the problem, causes and solutions, we use voltage control strategy and convergence analy...

This article gives a brief overview of the basic notions of switched fuzzy systems, their model construction and stability analysis, followed by the proposed concepts for building simulation algorithms for this type of systems. Using these concepts we have shown the whole process of modelling, stability analysis and design of stabilizing switching fuzzy logic controllers for the hovercraftvehic...

This paper is concerned with the reliable state feedback control synthesis for T-S fuzzy systems with sensor multiplicative faults. By considering the influences of sensor faults on both the system states and premise variables of fuzzy controllers, a class of new convex reliable stabilization conditions are proposed for T-S fuzzy systems through using the properties of fuzzy product inference e...