Modeling and Simulation of Brush less DC Motor Adaptive Fuzzy PID Control System for Pure Electric Vehicle

被引：2

作者：

Song Shu ^{[1
]}

Zhang Ya-jun ^{[1
]}

机构：

[1] Changan Univ, Sch Elect & Control Engn, Xian, Peoples R China

来源：

INTELLIGENT SYSTEM AND APPLIED MATERIAL, PTS 1 AND 2 | 2012年 / 466-467卷

关键词：

Pure Electric Vehicle (PEV); Brush less Direct Current Motor (BLDCM); Adaptive Fuzzy PID Controller (AFPIDC); Simulation;

D O I：

10.4028/www.scientific.net/AMR.466-467.1339

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Pure Electric Vehicles (PEV) is an important research direction to solve the problems of auto environment and energy sources. Research double close-loop control system of PEV driven by Brush less Direct Current Motor (BLDCM) has the practical value. Traditional PID controllers have some advantages of being simple, reliable and effective for linear systems, but not for time-varying systems or highly non-linear systems. In order to improve the performances in both steady state and transient state of control system, an Adaptive Fuzzy PID Controller (AFPIDC) can be employed. The dynamic model of PEV and the mathematic model of BLDCM can be analyzed and established. Simulation model of Speed and Current Double Close-Loop Control System are implemented by Matlab7.0/simulink. The simulation results show that the system has rapid response, without static error and overshoot, good performance and strong robustness, high capacity of resisting disturbance.

引用

页码：1339 / 1343

页数：5

共 50 条

[31] DC-MOTOR CONTROL-SYSTEM FOR ELECTRIC VEHICLE DRIVE
BOSE, BK
STEIGERWALD, RL
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 1978, 14 (06) : 565 - 572
[32] Simulation Research on Fuzzy Adaptive PID Control of Variable Pump Control System
Hui, Wang
Zhuo, Xu
ADVANCES IN MANUFACTURING TECHNOLOGY, PTS 1-4, 2012, 220-223 : 880 - 883
[33] Design of Adaptive Fuzzy PID Altitude Control System for Unmanned Aerial Vehicle
石刚
杨树兴
敬亚兴
徐勇
Journal of Beijing Institute of Technology, 2008, (01) : 58 - 61
[34] Hardware-In-the-Loop Simulation of Pure Electric Vehicle Control System
Zhu, Yang
Xu, Guoqing
Hu, Hao
Zhao, Zhiguo
2009 INTERNATIONAL ASIA CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION, AND ROBOTICS, PROCEEDINGS, 2009, : 254 - +
[35] Electric Vehicle Modeling Utilizing DC Motor Equations
Hearn, Clay S.
Weeks, Damon A.
Thompson, Richard C.
Chen, Dongmei
2010 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM), 2010,
[36] Design of PID-Fuzzy for Speed Control of Brushless DC Motor in Dynamic Electric Vehicle to Improve Steady-State Performance
Jaya, Arman
Purwanto, Era
Fauziah, Melinda Badriatul
Murdianto, Farid Dwi
Prabowo, Gigih
Rusli, Muhammad Rizani
2017 INTERNATIONAL ELECTRONICS SYMPOSIUM ON ENGINEERING TECHNOLOGY AND APPLICATIONS (IES-ETA), 2017, : 179 - 184
[37] APPLICATION OF A VARIABLE-UNIVERSE AND SELF-ADAPTIVE FUZZY PID CONTROLLER IN DC MOTOR SPEED CONTROL SYSTEM
Liu, Tundong
Chen, Bingwei
Liao, Weiqiang
2011 INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING AND TECHNOLOGY (ICMET 2011), 2011, : 485 - +
[38] Application of a Variable-universe and Self-adaptive Fuzzy PID Controller in DC Motor Speed Control System
Chen, Bingwei
Liu, Tundong
Liao, Weidiang
2011 INTERNATIONAL CONFERENCE ON FUTURE INFORMATION ENGINEERING (ICFIE 2011), 2011, 8 : 119 - 123
[39] Application of a Variable-universe and Self-adaptive Fuzzy PID Controller in DC Motor Speed Control System
Liu, Tundong
Chen, Bingwei
Liao, Weiqiang
2011 INTERNATIONAL CONFERENCE ON COMPUTERS, COMMUNICATIONS, CONTROL AND AUTOMATION (CCCA 2011), VOL I, 2010, : 376 - 379
[40] Adaptive-Fuzzy-PID Controller Based Disturbance Observer for DC Motor Speed Control
Has, Zulfatman
Muslim, Ahzen Habibidin
Mardiyah, Nur Alif
2017 4TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING, COMPUTER SCIENCE AND INFORMATICS (EECSI), 2017, : 496 - 501

← 1 2 3 4 5 →