In this paper we propose an approach to improve the direct torque control (DTC) of an induction motor (IM). The proposed DTC is based on fuzzy logic technique switching table, is described compared with conventional direct torque control (DTC). To test the fuzzy control strategy a simulation platform using MATLAB/SIMULINK was built which includes induction motor d-q model, inverter model, fuzzy...

-We present an environment for designing and implementing Fuzzy-ROM control systems. The environment makes use of Matlab products like simulink and fuzzy control toolbox for the controller design and simulation, and uses Mentor Graphics products like FPGA-Advantage, ModelSim, and Leonardo for hardware simulation and synthesis on Xilinx Chips. Through an example, we demonstrate how the proposed ...

Fuzzy-genetic decision optimization solved a problem of positioning military combat units for optimum performance. It used a simulation model to evaluate solutions, a fuzzy logic module to map simulation outputs to a single fitness value, and a genetic algorithm to search the t,errain for a near-optimal combination of unit positions. In this study, the fuzzy-genetic system outperformed a human ...

The practical realization of the Fuzzy Logic Controler (FLC) usually depends on the application. Using the parameter-depended group of fuzzy operators like distance based operators in the approximate reasoning process the FLC components can be adapted to achieve better results. The program language environment, applied by simulation, supports the choosing of suitable fuzzy operators and their p...

This paper addresses the design and implementation of multi-input multi-output (MIMO) fuzzy control for mobile robot. Firstly, MIMO fuzzy control is apply to track different desired trajectories. Secondly, the controller performs on robot for navigation purpose to avoid obstacles and reach defined target. The proposed MIMO fuzzy controller was investigated based on several conducted MATLAB simu...

A fuzzy simulation-based optimization approach FSOA is developed for identifying optimal design of a benzene-contaminated groundwater remediation system under uncertainty. FSOA integrates remediation processes i.e., biodegradation and pump-and-treat , fuzzy simulation, and fuzzy-mean-value-based optimization technique into a general management framework. This approach offers the advantages of 1...

A new kind of multivariable adaptive fuzzy decoupling controller is present for Aero-engine, which consists of multivariable fuzzy decoupling control and fuzzy model reference learning control. A fuzzy inverse model is used to produce and adjust fuzzy rules online. The simulation results show that this controller is effective.

For the control system of a certain type simulation test turntable (STT), a simplified model is established firstly, then the T-S fuzzy controller is designed, finally control results and stability are analyzed by simulation. Simulation results show that the T-S fuzzy controller has the advantages of the fast response and positioning, good stability, strong anti-interference. The designed T-S f...

This paper presents a new general purpose neuro-fuzzy controller to realize adaptive-network-based fuzzy inference system (ANFIS) architecture. ANFIS which tunes the fuzzy inference system with a back propagation algorithm based on collection of input-output data makes fuzzy system to learn. To implementing this idea we propose several improved CMOS analog circuits, including Gaussian-like memb...