On-line Particle Swarm Optimization of Anti-Windup Speed Controller for PMSM Drive System

2007 ◽  
Author(s):  
Shuai Yan ◽  
Dianguo Xu ◽  
Xianguo Gui ◽  
Ming Yang
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Drive System ◽  
Swarm Optimization ◽  
Speed Controller ◽  
On Line

Particle swarm optimization of artificial-neural-network-based on-line trained speed controller for battery electric vehicle

2012 ◽  
Vol 60 (3) ◽  
pp. 661-667 ◽  
Author(s):  
B. Ufnalski ◽  
L.M. Grzesiak
Keyword(s):  
Particle Swarm Optimization ◽  
Objective Function ◽  
Electric Vehicle ◽  
Particle Swarm ◽  
Battery Electric Vehicle ◽  
Swarm Optimization ◽  
Speed Controller ◽  
Control Objective ◽  
On Line

Abstract The paper presents implementation of PSO (Particle Swarm Optimization) to ANN-based speed controller tuning. Selected learning parameters are optimized according to the control objective function. A battery electric vehicle is considered as a potential plant for an adaptive speed controller. The need for adaptivity in the control algorithm is justified by variations of a total weight of the vehicle. A sizable section of the paper deals with selection of a combined objective function able to effectively evaluate the quality of a solution.

scholarly journals Sensorless Rotor-Field Oriented Controlled Induction Motor Drive with Particle Swarm Optimization Algorithm Speed Controller Design Strategy

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Yung-Chang Luo ◽  
Zhi-Sheng Ke ◽  
Ying-Piao Kuo
Keyword(s):  
Particle Swarm Optimization ◽  
Induction Motor ◽  
Optimization Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Controller Design ◽  
Particle Swarm ◽  
Motor Drive ◽  
Induction Motor Drive ◽  
Swarm Optimization ◽  
Speed Controller

A sensorless rotor-field oriented control induction motor drive with particle swarm optimization algorithm speed controller design strategy is presented. First, the rotor-field oriented control scheme of induction motor is established. Then, the current-and-voltage serial-model rotor-flux estimator is developed to identify synchronous speed for coordinate transformation. Third, the rotor-shaft speed on-line estimation is established applying the model reference adaptive system method based on estimated rotor-flux. Fourth, the speed controller of sensorless induction motor drive is designed using particle swarm optimization algorithm. Simulation and experimental results confirm the effectiveness of the proposed approach.

scholarly journals Off-Line Tuning of Positioning Control System using Particle Swarm Optimization Considering Speed Controller

2007 ◽  
Vol 127 (1) ◽  
pp. 52-59 ◽  
Author(s):  
Takayuki Kaneko ◽  
Hiroyuki Matsumoto ◽  
Hironori Mine ◽  
Hideyuki Nishida ◽  
Tomoharu Nakayama
Keyword(s):  
Particle Swarm Optimization ◽  
Control System ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Positioning Control ◽  
Speed Controller
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