Flux switching permanent magnet synchronous motor (FMSM) has the characteristics such as large output torque, fast speed response and high reliability, so it can be widely used in the field of high-performance and high precision control.In the permanent magnet synchronous motor control system, the speed loop usually adopts the PI control algorithm. Although the PI control algorithm is relativel...

This paper presents a fuzzy logic based speed control system for a current source PWM inverter fed indirect field oriented control of induction motors (IM). In this work the conventional PI controller is replaced by fuzzy based intelligent controller. The fuzzy logic controller employs different types of membership functions for each parameter for the efficient control of the drive system. The ...

This research applied an intelligent controller for mobile satellite antenna tracking system design. The intelligent controller is with both the traditional PI and the fuzzy control methods. The antenna tracking and the stabilization loops were designed firstly according to the bandwidth and phase margin requirements. However, the performance would be degraded if the tacking loop gain is reduce...

This paper proposes a fuzzy modelling and identification approach oriented to the design of a PI fuzzy controller for regulating both the pitch angle and the reference torque of a wind turbine model. This strategy has been suggested for enhancing the regulator design that could represent an alternative to the standard switching controller, already implemented in the wind turbine test system. Th...

Vector control is one of the standard techniques used for the control of a permanent magnet synchronous motor (PMSM). The outer speed loop in vector controlled PMSM drive greatly affects the drive performance. In order to combine the advantages of proportional plus integral (PI) and fuzzy controllers, hybrid fuzzy-PI controllers are used in which the output can either be the outputs of the two,...

This paper develops a PI-like interval type-2 (IT2) fuzzy maximum power point tracking (MPPT) control method for a class of wind power generation and battery charging systems with DC/DC buck converters. After the brief model descriptions of the wind power turbine, generator and DC/DC buck converter, the proposed MPPT controller is designed using IT2 fuzzy control logics and its asymptotical sta...

this paper introduces an indirect adaptive fuzzy sliding mode controller as a power system stabilizer for damping local and inter-area modes of oscillations of multi-machine power systems. this controller is designed based on the combination of sliding mode controller and the fuzzy logic systems. the fuzzy systems are used to approximate the unknown functions of power system model. generator sp...

The development of a Self-Tuning Neuro-Fuzzy Generalized Minimum Variance (GMV) controller is described. It uses fuzzy expert knowledge of the dynamic weightings to meet desired closed-loop stability and performance requirements. The controller is formulated in a polynomial system approach mixed with a Neuro-Fuzzy model and Fuzzy Self-Tuning mechanism. The proposed method is applied to a model ...

This paper proposes the neural network solution to the indirect vector control of three phase induction motor including an adaptive neuro fuzzy controller. The basic equations and elements of the indirect vector control scheme are given. The proposed control scheme is realized by an adaptive neuro-fuzzy controller and two feed forward neural network. The neuro-fuzzy controller incorporates fuzz...

A Proportional-Integral (PI) controller and a non-linear Fuzzy and Neuro controller is designed and its application to the regulation of 54V, 2.916kW Quasi-Resonant Buck Converter is comparatively investigated. PI controller involves Proportional gain (Kp) and Integral time (Ki) parameters whose manual tuning provides an appropriate action. Fuzzy logic is on the notion of graded membership and ...