Simple Approach to Design PID Controller via Internal Model Control

被引:22
作者
Saxena, Sahaj [1 ]
Hote, Yogesh V. [1 ]
机构
[1] Indian Inst Technol Roorkee, Dept Elect Engn, Roorkee 247667, Uttarakhand, India
关键词
Disturbance rejection; Filter; Internal model control; PID tuning; Second-order system; TUNING METHOD; IMC; SYSTEMS; SPECIFICATION; REDUCTION; PERFORMANCE; RULES;
D O I
10.1007/s13369-016-2027-4
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The internal model control (IMC)-based PID controller is widely used in industrial control problems. This scheme provides a good compromise among set-point tracking, disturbance attenuation, and robustness. Therefore, in this paper, we propose a simple technique to design IMC-PID controller. To illustrate the utility of the proposed technique, different types of linear and nonlinear second-order systems and approximated second-order models of higher-order systems are simulated. The proposed approach depicts quick response to set-point change, good disturbance attenuation, and optimal performances in most of the class of problems when compared to the conventional IMC-PID and other existing popular techniques. The beauty of this paper is that there is no need of highly complex mathematical approaches, and using only simple conventional IMC approach, the improved servo and regulatory results can be achieved.
引用
收藏
页码:3473 / 3489
页数:17
相关论文
共 50 条
[31]   Advances in Internal Model Control Technique: A Review and Future Prospects [J].
Saxena, Sahaj ;
Hote, Yogesh V. .
IETE TECHNICAL REVIEW, 2012, 29 (06) :461-472
[32]   The Design of Combustion Control System Based on Fuzzy Immune Internal Model Controller [J].
Yuan, GuiLi .
ADVANCED MATERIALS AND PROCESSES, PTS 1-3, 2011, 311-313 :2230-2234
[33]   Nonlinear Internal Model Controller Design for Wastegate Control of a Turbocharged Gasoline Engine [J].
Qiu, Zeng ;
Sun, Jing ;
Jankovic, Mrdjan ;
Santillo, Mario .
2014 AMERICAN CONTROL CONFERENCE (ACC), 2014, :214-219
[34]   Rough set based modeling and controller design in an Internal Model Control system [J].
Tan, TL ;
Song, ZH ;
Li, P .
2003 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-5, CONFERENCE PROCEEDINGS, 2003, :3559-3564
[35]   Design of internal model control-proportional integral derivative controller with improved filter for disturbance rejection [J].
Rao, P. V. Gopi Krishna ;
Subramanyam, M., V ;
Satyaprasad, K. .
SYSTEMS SCIENCE & CONTROL ENGINEERING, 2014, 2 (01) :583-592
[36]   A multiple-model approach to decentralized internal model control design [J].
Tan, GT ;
Chiu, MS .
CHEMICAL ENGINEERING SCIENCE, 2001, 56 (23) :6651-6660
[37]   Robust PID-PSD Controller Design: BMI Approach [J].
Vesely, Vojtech ;
Rosinova, Danica .
ASIAN JOURNAL OF CONTROL, 2013, 15 (02) :469-478
[38]   Robust Design of PID Controller Using IMC Technique for Integrating Process Based on Maximum Sensitivity [J].
Panyam Vuppu G.K.R. ;
Makam Venkata S. ;
Kodati S. .
Journal of Control, Automation and Electrical Systems, 2015, 26 (05) :466-475
[39]   An Internal Model Control Based Design Method for Single Input Fuzzy PID Controllers [J].
Var, Arda ;
Kumbasar, Tufan ;
Yesil, Engin .
2015 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2015), 2015,
[40]   Design of a multivariable decoupling control system with IMC/PID controller [J].
Villafane, Angela ;
Angel, Luis .
2021 IEEE 5TH COLOMBIAN CONFERENCE ON AUTOMATIC CONTROL (CCAC): TECHNOLOGICAL ADVANCES FOR A SUSTAINABLE REGIONAL DEVELOPMENT, 2021, :244-249