JIN Qibing, LIU Qie, WANG Qi, TIAN Yuqi, WANG Yuanfei. PID Controller Design Based on the Time Domain Information of Robust IMC Controller Using Maximum Sensitivity[J]. Chin.J.Chem.Eng., 2013, 21(5): 529-536.
DOI:
JIN Qibing, LIU Qie, WANG Qi, TIAN Yuqi, WANG Yuanfei. PID Controller Design Based on the Time Domain Information of Robust IMC Controller Using Maximum Sensitivity[J]. Chin.J.Chem.Eng., 2013, 21(5): 529-536.DOI: 10.1016/S1004-9541(13)60522-4.
PID Controller Design Based on the Time Domain Information of Robust IMC Controller Using Maximum Sensitivity
The IMC (Internal Model Control) controller based on robust tuning can improve the robustness and dynamic performance of the system. In this paper
the robustness degree of the control system is investigated based on Maximum Sensitivity (Ms) in depth. And the analytical relationship is obtained between the robustness specification and controller parameters
which gives a clear design criterion to robust IMC controller. Moreover
a novel and simple IMC-PID (Proportional-Integral-Derivative) tuning method is proposed by converting the IMC controller to PID form in terms of the time domain rather than the frequency domain adopted in some conventional IMC-based methods. Hence
the presented IMC-PID gives a good performance with a specific robustness degree. The new IMC-PID method is compared with other classical IMC-PID rules
showing the flexibility and feasibility for a wide range of plants.
关键词
Keywords
references
The trial reading is over, you can activate your VIP account to continue reading.
A model free adaptive control method based on self-adjusting PID algorithm in pH neutralization process
Proportion integral-type active disturbance rejection generalized predictive control for distillation process based on grey wolf optimization parameter tuning
Analysis on Refinery System as a Complex Task-resource Network
Nonlinear Mathematical Simulation and Analysis of Dha Regulon for Glycerol Metabolism in Klebsiella pneumoniae*
Biochar as a structure-tunable stationary phase for column chromatographic fractionation of bio-oil
Related Author
Juan Chen
You Fan
Kang Liu
Zenghui Wang
Qinglin Sun
Mingwei Sun
Zengqiang Chen
Jia Ren
Related Institution
College of Information Science & Technology, Beijing University of Chemical Technology
College of Artificial Intelligence, Nankai University
Key Lab of Intelligent Robotics of Tianjin
Department of Electrical and Mining Engineering, University of South Africa, Florida 1710, South Africa
Department of Control Science and Engineering, Institute of Cyber-System and Control, State Key Laboratory of Industrial Control Technology, Zhejiang University