Applications of fuzzy logic (FL) to power electronics and drives are on the rise. The paper discusses some representative applications of FL in the area, preceded by an interpretative review of fuzzy logic controller (FLC) theory. A discussion on design and implementation aspects is presented, that also considers the interaction of neural networks and fuzzy logic techniques. Finally, strengths ...

As the robot manipulators are highly nonlinear, time varying and Multiple Input Multiple Output (MIMO) systems, one of the most important challenges in the field of robotics is robot manipulators control with acceptable performance. In this research paper, a simple and computationally efficient Fuzzy Logic Controller is designed based on the Fuzzy Lyapunov Synthesis (FLS) for the position contr...

Different types of controlling methods are used in switched mode dc-dc converters and the controller which is simple and of low cost is always in demand. The different controllers used are PI controller, PID controller and Fuzzy logic controller. PI and PID controllers do not give good performance in non linear conditions. Fuzzy logic controller is a non linear controller which do not need exac...

In this paper we describe the application of a Simple ACO (S-ACO) as a method of optimization for membership functions’ parameters of a fuzzy logic controller (FLC) in order to find the optimal intelligent controller for an Autonomous Wheeled Mobile Robot. Simulation results show that ACO outperforms a GA in the optimization of FLCs for an autonomous mobile robot.

The role of proportional-integral (PI) controller and proportional-integral-derivative (PID) controller as a speed controller for a Permanent Magnet Synchronous Motor (PMSM) in high performance drive system is still vital although new control techniques such as vector control theory that is more effective -but complexis available. However, PI controller is slow in adapting to speed changes, loa...

A straightforward approach for designing fuzzy logic based controllers in Matlab/Simulink environment is presented in this paper. The approach focuses on the fuzzy rule base construction using the time varying values of control error (e) and its change (∆e) mapped on e-∆e space. In order to show the generalized model simplicity of the proposed approach, a fuzzy logic controller (FLC) is designe...

Declaration I hereby declare that the work contained within this report, except where otherwise stated, is entirely my own and has not been previously submitted in whole, or in part, to any other educational institution. Acknowledgements I would like to express my sincere gratitude to the following; University) for her advice, guidance and support throughout the entire duration of this project....

This study investigates the development of a Fuzzy Logic Controller (FLC) for tracking sinusoidal wave trajectory and suppressing vibration Two Link Flexible Manipulator (TLFM). The TLFM was modeled using Lagrange's formalism Assumed Mode Method (AMM). A three-part apparatus consisting mathematical model, real-world TLFM, control software designed implemented. FLC applied to both simulated TLFM...

The advanced bilateral control algorithm, which can enlarge a reflected force by combining force reflection and compliance control, greatly enhances workability in teleoperation. In this scheme the maximum boundaries of a compliance controller and a force reflection gain guaranteeing stability and good task performance greatly depend upon characteristics of a slave arm, a master arm, and an env...

The objective of our study is to design an expert system by modelling the knowledge and thinking process of a doctor. A fuzzy logic controller (FLC) is used to model the process and a genetic algorithm (GA) helps to select a number of good rules from a manually constructed large rule base of an FLC, based on the opinion of 10 doctors. The GA-based tuning is done off-line. Once the optimized rul...