Title :
Nonlinear double control strategy research with fuzzy internal model control and PID control based on fuzzy modeling
Author :
Hou, Yugang ; Meng, Yao ; Meng, Xiangzhong ; Wang, Wanli
Author_Institution :
Sch. of Mech. Electron. & Inf. Eng., China Univ. of Min. & Technol., Beijing, China
Abstract :
Considering the difficulty of getting accurate forward and inverse models of object in the majority of practical plants with IMC, A modeling technique based on C-R fuzzy step model for nonlinear systems is introduced. On that basis, nonlinear fuzzy internal model control (FIMC) design based on C-R fuzzy step model is studied. Because there is the model mismatch problem between the identified forward and inverse models of the plant based on the input-output data of plant, it will make the system controllable quality lessened in the control system based on C-R fuzzy step Model. To improve the performance of the control system, PID control is connected parallel to the fuzzy internal model control structure, then the double control strategy with nonlinear fuzzy internal model control and PID control based on C-R fuzzy step model (CR-FIMC-PID) is proposed. The simulation results show that the proposed control strategy is effective, feasible, and has good control performance.
Keywords :
fuzzy control; nonlinear control systems; three-term control; C-R fuzzy step model; PID control; fuzzy internal model control; fuzzy modeling; nonlinear double control; nonlinear systems; Adaptation model; Analytical models; Computational modeling; Control systems; Inverse problems; Mathematical model; Nonlinear systems; C-R Fuzzy Step Model; CR-FIMC-PID; FIMC; Fuzzy modeling; nonlinear system;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
DOI :
10.1109/WCICA.2010.5554673