Switched Reluctance Motors (SRMs) are increasingly popular machines in electrical drives, whose performances are directly related to their operating conditions. Their dynamic characteristics vary as conditions change. Recently, several methods of the modeling of the magnetic saturation of SRMs have been proposed as analytical functions. However, the SRM system is nonlinear and cannot be adequat...

This paper presents approaches to the design of a hybrid fuzzy logic proportional plus conventional integralderivative (fuzzy P+ID) controller in an incremental form. This controller is constructed by using an incremental fuzzy logic controller in place of the proportional term in a conventional PID controller. By using the bounded-input/bounded-output “small gain theorem,” the sufficient condi...

Hybrid Electric Vehicles (HEVs) are driven by two energy convertors, i.e., an Internal Combustion (IC) engine and an electric machine. To make powertrain of HEV as efficient as possible, proper management of the energy elements is essential. This task is completed by HEV controller, which splits power between the IC engine and Electric Motor (EM). In this paper, a Genetic-Fuzzy control strategy...

The dynamic equations of motion for a mechanical manipulator are highly non-linear and complex. It is therefore, very difficult to implement real-time control based on a detailed dynamic model of a robot, if not impossible (Luh et al., 1980; Lee et al., 1982). The control problem becomes more difficult if adaptive control is necessary to accommodate changing operational conditions. Such a requi...

Congestion is the problem that occurs due to saturation of network resources. Despite the implementation of traditional congestion control algorithms such as Transmission Control Protocol (TCP/IP), congestion remains a critical issue in computer and ATM networks. Fuzzy Logic is applied to solve the congestion control problem as communication networks are difficult to model using traditional con...

This paper presents the design of a Fuzzy PID controller (FPID) based on fuzzy logic with a PID structure with many valued logic and reasoning. The self-turning Fuzzy PID control take in an error and the rate of change of error of the altitude and attitude of the quadrotor as the input to the fuzzy controller and use the fuzzy rules to adjust the PID parameter automatically. Simulations have be...

Area optimization is one of the important problems in reconfigurable systems. A Field-programmable gate array (FPGA) based optimised Fuzzy Logic Controller(FLC) has been developed for speed control of DC Motor by exploiting the basic features of Fuzzy logic. The aim of the proposed scheme is to reduce the area, as compared with conventional Fuzzy Logic Controller. The area of a design refers to...