Abstruct-Fuzzy systems implemented in hardware can operate with much higher performance than software implementations on standard microcontrollers. In this paper, three types of fuzzy systems and related hardware architectures are discussed: standard fuzzy controllers, FuNe Z fuzzy syqtems, and fuzzy classifiers based on a neural network structure. Two computer-aided design (CAD) packages for a...

This paper proposes a method of maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic systems. The system is composed of a boost converter and a single-phase inverter connected to a utility grid. The maximum power point tracking control is based on adaptive fuzzy logic to control a switch of a boost converter. Adaptive fuzzy logic controllers provide at...

New trends and the effect of key factors influence the quality of the holes produced by ECM processes. Researchers developed a fuzzy logic controller by adding intelligence to the ECM process. Maintaining optimum ECM process conditions ensures higher machining efficiency and performance. This paper presents the development of a fuzzy logic controller to add intelligence to the ECM process. An e...

Absfracl-An industrial food processing plant consisting of nonlinear dynamics requires pressure and temperature controllers to he nonlinear. In this paper, nonlinesr controllers are designed using. fuzzy logic to augment the conventional pressure and temperature PI controllers for an industrial food processing plant. Simulation results are presented to show improvement in the plant response wit...

Automatic control has been always playing an essential part in the development of industrial processes and technologies in areas like manufacturing, power processing and distribution, communications, transportation, etc. In modern applications, the requirement on the performance of control systems increased considerably. Over a broad range of operating conditions, most processes exhibit strongl...

A fuzzy controller for multivariable systems based on fuzzy controllers for the decoupled monovariable subsystems and a fuzzy compensator of the interactions is introduced. The fuzzy compensator acts as a feedforward controller. It has as inputs the outputs of the monovariable controllers considered as known perturbations and produces compensation signals which are added to the single loop cont...

The goal of this work is to make an analysis of the performances of a fuzzy controller and a comparative study of fuzzy control algorithms with a conventional control approach (PID) in the case of linear dynamic process control. This comparative study is made using computer simulation. The first part is devoted to the formal framework of the theory of fuzzy sets and fuzzy controllers. The secon...

We propose a robust non-fuzzy self-tuning scheme for fuzzy PI controllers (FPIC) for a class of systems. The output scaling factor (SF) of the proposed non-fuzzy self-tuning FPIC, termed as NF-STFPIC, is modified on-line based on the normalized change of error of the controlled variable. Performance of the proposed controller is evaluated for a pure integrating plus dead-time (IPD) and first-or...

Recently, there has been extensive work on the construction of fuzzy controllers for mobile robots by a genetic algorithm (GA); therefore, we can realize evolutionary optimization as a promising method for developing fuzzy controllers. However, much investigation on the evolutionary fuzzy controller remains because most of the previous works have not seriously attempted to analyze the fuzzy con...