This paper introduces an optimal fuzzy proportional–integral–derivative (PID) controller. The fuzzy PID controller is a discrete-time version of the conventional PID controller, which preserves the same linear structure of the proportional, integral, and derivative parts but has constant coefficient yet self-tuned control gains. Fuzzy logic is employed only for the design; the resulting control...

The topology and control of three-phase 4-wire DSTATCOM consisting of a operating flexibility in the DSTATCOM consisting of a operating flexibly in the voltage or current control mode. In the voltage control DSTATCOM topology includes three single-phase voltage source converters connected in parallel. The proposed DSTATCOM provides the voltage regulation of power factor correction along with ha...

The application of fuzzy-based control strategies has recently gained enormous recognition as an approach for the rapid development of effective controllers for nonlinear time-variant systems. This paper describes the preliminary research and implementation of a fuzzy logic based controller to control the wheel slip for electric vehicle antilock braking systems (ABSs). As the dynamics of the br...

This chapter deals with the design of a Fuzzy Logic Controller based Optimal Linear Quadratic Regulator (FC-LQR) for the control of a robotic system. The main idea is to design a supervisory fuzzy controller capable to adjust the controller parameters in order to obtain the desired axes positions under variations of the robot parameters and payload variations. In the advanced control of robotic...

Fuzzy theory is highly promising for active structural control. The advantage of fuzzy controllers over classical controllers is the limited number of measured structural responses used to implement the control rules and its intrinsic robustness. In this paper, Fuzzy rules were generated firstly by learning from sample data obtained from the performance of the system under optimal control algor...

Direct torque control (DTC) of Switched reluctance motor is known to have simple control structure with comparable performance to that of field oriented control techniques. However, the role of optimal selection of the voltage space vector is one of the weakest points in a conventional DTC drive. In this paper optimal selection of voltage space vectors is achieved using neuro fuzzy controller. ...

This article presents an artificial drug abusers system consolidating the impact of treatment with psychological and physiological addicts under fuzzy parameters. In model, all parameters are considered to be triangular numbers represent uncertainty that pervaded dynamics. To handle arrangements while avoiding problems, model is turned into a defuzzified using utility function method. The model...

In this paper, a type of fuzzy system structure is applied to heuristic dynamic programming (HDP) algorithm to solve nonlinear discrete-time Hamilton–Jacobi–Bellman (DT-HJB) problems. The fuzzy system here is adopted as a 0-order T–S fuzzy system using triangle membership functions (MFs). The convergence of HDP and approximability of the multivariate 0-order T–S fuzzy system is analyzed in this...