Robust Control of DC Motor Using Fuzzy Sliding Mode Control with PID Compensator

被引:0
作者
Fallahi, M. [1 ]
Azadi, S. [2 ]
机构
[1] Semnan Univ, Dept Mechatron Engn, Semnan, Iran
[2] Semnan Univ, Dept Elect Engn, Semnan, Iran
来源
IMECS 2009: INTERNATIONAL MULTI-CONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, VOLS I AND II | 2009年
关键词
DC motor; fuzzy logic; PID; sliding mode; RELAY FEEDBACK; SYSTEMS; DESIGN; ALGORITHM;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, a robust control system with the fuzzy sliding mode controller and the additional compensator is presented. The additional compensator relaying on the sliding-mode theory is used to improve the dynamical characteristics of the drive system. Sliding mode control method is studied for controlling DC motor because of its robustness against model uncertainties and external disturbances, and also its ability in controlling nonlinear and MIMO systems. In this method, using high control gain to overcome uncertainties lead to occur chattering phenomena in control law which can excite unmodeled dynamics and maybe harm the plant. Different approaches, such as intelligent methods, are used to abate these drawbacks.. In order to enhancement the sliding mode controller performance, we have used fuzzy logic. For this purpose, we have used a PID outer loop in the control law then the gains of the sliding term and PID term are tuned on-line by a fuzzy system, so the chattering is avoided and response of the system is improved against external load torque here. Presented simulation results confirm the above claims and demonstrate the performance improvement in this case.
引用
收藏
页码:1286 / +
页数:2
相关论文
共 17 条
[1]   Application of adaptive PID control with genetic algorithm to a polymerization reactor [J].
Altinten, A ;
Erdogan, S ;
Alioglu, F ;
Hapoglu, H ;
Alpbaz, M .
CHEMICAL ENGINEERING COMMUNICATIONS, 2004, 191 (09) :1158-1172
[2]   Adaptive robust PID controller design based on a sliding mode for uncertain chaotic systems [J].
Chang, WD ;
Yan, JJ .
CHAOS SOLITONS & FRACTALS, 2005, 26 (01) :167-175
[3]  
Choi HS, 2001, IEEE CONTR SYST MAG, V21, P27, DOI 10.1109/37.924795
[4]   SLIDING MODE CONTROL IN DYNAMIC-SYSTEMS [J].
DRAKUNOV, SV ;
UTKIN, VI .
INTERNATIONAL JOURNAL OF CONTROL, 1992, 55 (04) :1029-1037
[5]   Adaptive fuzzy sliding mode control for flexible satellite [J].
Guan, P ;
Liu, XJ ;
Liu, JZ .
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2005, 18 (04) :451-459
[6]   Robust position control of DC servomechanism with output measurement noise [J].
Huang, YJ ;
Kuo, TC .
ELECTRICAL ENGINEERING, 2006, 88 (03) :223-228
[7]   VARIABLE STRUCTURE CONTROL - A SURVEY [J].
HUNG, JY ;
GAO, WB ;
HUNG, JC .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 1993, 40 (01) :2-22
[8]   Sliding mode controller-observer design for SISO linear systems [J].
Koshkouei, AJ ;
Zinober, ASI .
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 1998, 29 (12) :1363-1373
[9]  
KOSHKOUEI AJ, CONTROL DC MOTORS US
[10]   PID AUTOTUNING ALGORITHM-BASED ON RELAY FEEDBACK [J].
LEVA, A .
IEE PROCEEDINGS-D CONTROL THEORY AND APPLICATIONS, 1993, 140 (05) :328-338