In this paper a fuzzy logic scheme is applied for direct torque fuzzy control (DTFC) of five phase induction machine (FPIM). The proposed DTFC based on fuzzy logic technique switching table is described and compared with conventional direct torque control (DTC). The proposed fuzzy control strategy is simulated using Matlab/Simulink software. The simulation results show that DTFC method reduces ...

In this work a monolithic architecture to realize a highperformance switching regulator with non-linear fuzzy logic control is introduced. An overview of the main issues related to PWh4 DCDC conversion in continuous mode is reported and an introduction to nonlinear fuzzy logic control is given. The main analog Fuzzy Logic blocks are illustrated and the overall architecture presented with the ma...

In this paper, a fuzzy control scheme, which employs the output feedback control approach, is suggested for the stabilization of nonlinear systems with uncertainties. The uncertain nonlinear system can be represented by uncertain Takagi-Sugeno (TS) fuzzy model structure, which is further rearranged to give a set of uncertain linear systems. A switching-type fuzzy-model-based controller, which u...

This paper places of interest Direct Torque control (DTC) strategy for induction motor based on fuzzy logic control. Many methods of controlling the performance of induction motors exist. The direct torque control deserves special attention because of high performance vector control based on decoupling the stator flux and electromagnetic torque. In conventional method normal DTC is used to cont...

This paper presents a fuzzy logic approach for switching multiple reference models, within the Model Reference Adaptive Control (MRAC) framework, in response to major changes in the plant operating conditions. Following a rule base, the fuzzy switching scheme effectively monitors changes in operating conditions or such drastic changes in plant. A fuzzy inference engine then fires appropriate ru...

A Lyapunov based switching control design method for non linear systems using fuzzy models is proposed. The switching controller consists of several linear state feedback controllers; only one of the linear controllers is employed at each moment according to a switching scheme. The gains of the linear state feedback controllers are derived based on Lyapunov stability theory. The fuzzy design mo...

– When using the Lyapunov synthesis approach to construct a stable fuzzy control system, one important way is to regard the fuzzy systems as approximators to approximate the unknown functions in the system to be controlled. Concerning the unknownness of the unknown functions, generally there are two cases: a completely unknown case, and a partly unknown case. However, most of the schemes presen...

This paper describes a design problem of the controller in switched systems. A switched system is a hybrid dynamical system consisting of continuous-time subsystems and a rule that controls the switching between them. The uncertainties of stability in the switching surface is a very sufficient problem in designing a switching-type controller. The stability analysis in the switching surface and ...

An intelligent control scheme using a fuzzy switching mechanism, grey prediction and genetic algorithm (GA) is applied to a coupled nonlinear system, called a twin rotor multi-input multi-output system (TRMS). In real-time control, a Xilinx Spartan II SP200 FPGA (Field Programmable Gate Array) is employed to construct a hardware-in-the-loop system through writing VHDL on this FPGA. The objectiv...

The steady-state operation of maintaining voltage stability is done by switching various controllers scattered all over the power network. When a contingency occurs, whether forced or unforced, the dispatcher is to alleviate the problem in a minimum time, cost, and effort. Persistent problem may lead to blackout. The dispatcher is to have the appropriate switching of controllers in terms of typ...