This paper analyses the control of nonlinear plant with the changing dynamics. Adaptive controllers, based on fuzzy logics, are synthesized for the control of air pressure and water level. Their satisfactory efficiency is experimentally demonstrated under different working conditions. Fuzzy controllers are compared to conventional PI and PID controllers.

Dr. Mohammed Yousif Hassan* Received on:28/6/2009 Accepted on:3/12/2009 Abstract Pneumatic circuits are widely used in industrial automation, such as drilling, sawing, squeezing, gripping, and spraying. Furthermore, they are used in motion control of materials and parts handling, packing machines, machine tools, foodprocessing industry and in robotics. In this paper, a Neural Network based Fuzz...

This research applied Proportion and Integration (PI) type fuzzy methods for mobile satellite antenna control system design. The detailed block diagram of a satellite antenna tracking system is very lousy; it is very difficult to obtain the key parameters for analyses and simulation. Thus a simplified model of antenna pitching or yawing control system is applied to speed up the design and obtai...

Many training algorithms use mean square error (MSE) for training when we have numeric data, with MSE also used to indicate the quality of the results. In many real world applications we are also interested in the number of samples which are “close enough” to the correct value and would also use the number of samples which could be mapped to correct classifications in reporting our results. We ...

Problem statement: The main objective of this research is to obtain the speed control of switched reluctance motor with minimum settling time and without overshoot. Approach: A new algorithm has been developed with the combination of differential evolution and particle swarm optimization and applied for speed control of switched reluctance motor under sudden change in speed. Also speed control ...

This paper presents a pseudo-equivalence of the digital PI fuzzy controllers with the PI linear controllers in the continuous time domain. A method to design PI fuzzy controller is presented. Transfer functions and equivalence relations between controller’s parameters are obtained for the common structures of the PI fuzzy controllers. The pseudo-equivalence is made based on a grapho-analithic a...

Mamdani and Takagi-Sugeno fuzzy controllers were prepared. The controllers were designed using Fuzzy Logic Toolbox. The membership functions and rules were used as design tools that give opportunity to model a control surface and controller properties. The control system of d.c. (direct current) motor drive with two feedback loops is considered. First loop is used for stabilization of armature ...

This paper proposes Fuzzy Logic Based STATCOM. It regulates the voltage at the point of common coupling (PCC) by injecting reactive power. This device also plays a vital role in enhancing stability for small and large transient disturbances in power system. Simulations using MATLAB / SIMULINK are carried out to verify the performance of STATCOM using fuzzy controller. The result shows that fuzz...

The aim of this paper is to design a single input PI fuzzy controller for a nonlinear and time-varying plant – the biogas production rate in the anaerobic digestion of organic waste in waste water treatment. The main contributions are the design of the SI FC, the study of the closed loop control system performance and the estimation of the advantages of the SI FC system in comparison to other s...

This paper studies the control of a pH process by using a neuro fuzzy controller with gain scheduling. As the process to be controlled is highly non-linear the PI-type fuzzy controller that will be used generally is not able to control the system adequately. For this, a very simple feedforward neural network trained on-line, is put at the output of the PI-type fuzzy controller in order to calcu...