A new approach for adjusting scale factor in fuzzy PD plus I controllers with anti-windup

被引:5
作者
Sartorius, Aldo R. [1 ]
de Jesus Moreno, Jose [1 ]
Pinon, Oscar [2 ]
Estela Ruiz, Ana [1 ]
机构
[1] Minatitlan Inst Technol, Dept Elect Engn, Minatitlan, Veracruz, Mexico
[2] Minatitlan Inst Technol, Dept Basic Sci, Minatitlan, Veracruz, Mexico
关键词
Anti-windup; controller; fuzzy; scaling factor; STABILITY ANALYSIS; DESIGN; PI; SYSTEMS; MOTOR;
D O I
10.3233/IFS-141196
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In fuzzy controllers, the adjusting of scale factors, both input and output, is critical to the performance of the plant being controlled. The adjustment of scale factors in Fuzzy PD+I controllers (FPD+I) is well documented; however, in systems that have control signal saturation, FPD+I requires anti-windup systems (AW) that limit the controller's integral action. The adjustment procedure for FPD+I controllers cannot be used in Fuzzy PD+I controllers with anti-windup system (FPD+I AW), as it increases the overall gain system, which causes oscillatory behaviour and even critical stability in the controlled variable. The main motivation of this research was to have an approach for adjusting Fuzzy PD+I controllers with anti-windup system (FPD+I AW) without having oscillatory behaviour. In order to verify the proposed approach, both the input and output scale factors of a FPD+I AW controller were adjusted and used to control speed in a direct current motor with control signal saturation and were compared with the responses of conventional PID, Adaptive Neuro Fuzzy Inference System (ANFIS) and Fuzzy sliding controllers, all with AWs based on tracking back calculation, thereby demonstrating the effectiveness of the proposed approach.
引用
收藏
页码:2319 / 2326
页数:8
相关论文
共 37 条
[11]  
El Alaoui E. C., 2006, INT J APPL ENG RES, V1, P295
[12]  
Fallahi M., 2009, INT MULTICONFERENCE
[13]  
Ghoshal A., 2010, NAT POW EL C ROORK I
[14]   An anti-windup technique for LMI regions [J].
Hencey, Brandon ;
Alleyne, Andrew .
AUTOMATICA, 2009, 45 (10) :2344-2349
[15]  
Kim B.J., 2002, AM CONTR C
[16]  
Kusagur A., 2010, INT J COMPUTER APPL, V12, P1123
[17]  
LEE J, 1993, IEEE T FUZZY SYST, V1, P298
[18]  
Lin H., 2013, INT J INNOV COMPUT I, V9, P300
[19]   Mathematical models of the simplest fuzzy PI/PD controllers with skewed input and output fuzzy sets [J].
Mohan, B. M. ;
Sinha, Arpita .
ISA TRANSACTIONS, 2008, 47 (03) :300-310
[20]   Optimized fuzzy PD cascade controller A comparative analysis and design [J].
Oh, Sung-Kwun ;
Jang, Han-Jong ;
Pedrycz, Witold .
SIMULATION MODELLING PRACTICE AND THEORY, 2011, 19 (01) :181-195