this paper presents fuzzy and conventional performance of model reference adaptive control(mrac) to control a dc drive. the aims of this work are achieving better match of motor speed with reference speed, decrease of noises under load changes and disturbances, and increase of system stability. the operation of nonadaptive control and the model reference of fuzzy and conventional adaptive contr...

This paper presents a rule-based fuzzy logic controller applied to a scalar closed loop Volts/Hz induction motor (IM) control with slip regulation and its simulation results. The IM is model in terms of d-q windings, with synchronous frame associated with the frequency ωs of the stator excitation. The results obtained in the simulation are interesting, considering the presence of strong non-lin...

A fuzzy logic control (FLC) is designed to maintain constant tension for tandem rolling mills. Genetic algorithm (GA) is used as self-organization technique for FLC to locate the optimal parameters. Simulation results verify the superior performance of genetic fuzzy controller. Keywords-tension control, fuzzy logic, genetic fuzzy system, rolling mill.

Traditional stochastic discrete event simulation method requires the users to fit the task duration data with an empirical probability function or a theoretical probability density function. This has limited the application of discrete event simulation techniques from research stage to construction practice due to the tedious data fitting tasks required for the construction operation planners l...

A method for designing optimal interval type-2 fuzzy logic controllers using evolutionary algorithms is presented in this paper. Interval type-2 fuzzy controllers can outperform conventional type-1 fuzzy controllers when the problem has a high degree of uncertainty. However, designing interval type-2 fuzzy controllers is more difficult because there are more parameters involved. In this paper, ...

SELECTION OF SIMULATION VARIANCE REDUCTION TECHNIQUES THROUGH A FUZZY EXPERT SYSTEM Adrian Aderemi Adewunmi, BSc In this thesis, the design and development of a decision support system for the selection of a variance reduction technique for discrete event simulation studies is presented. In addition, the performance of variance reduction techniques as stand alone and combined application has be...

This study focuses on the development of triangular fuzzy numbers, the revising of triangular fuzzy numbers, and the constructing of a HCFN (half-circle fuzzy number) model which can be utilized to perform more plural operations. They are further transformed for trigonometric functions and polar coordinates. From half-circle fuzzy numbers we can conceive cylindrical fuzzy numbers, which work be...

In this paper, for nonlinear, time-varying and delayed system, PID parameters self-tuning fuzzy control was applied to a level process. The method of using VC++ programming to realize fuzzy control algorithm and obtain the discrete fuzzy control table is proposed, which simplified the computing process greatly. Furthermore, combing the inquiry of fuzzy control table and PID function module in P...

The fuzzy virtual object is proposed based on fuzzy modelization of the moving objects in dynamic environments. The fuzzy virtual object is defined as a fuzzy set whose membership function contains the objects’ motion information. It provides a basis of motion control for mobile robots in dynamic environments. A new method of real-time fuzzy robot control is proposed based on the fuzzy environm...

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...