Title :
Design and Simulation of Nonlinear Hammerstein Systems Dynamic Matrix Control Algorithm
Author :
Zou, Zhiyun ; Yu, Dehong ; Hu, Zhen ; Yu, Luping ; Feng, Wenqiang ; Guo, Ning
Author_Institution :
Sch. of Mech. Eng., Xian Jiaotong Univ.
Abstract :
The dynamic matrix control (DMC) strategy is extended to a nonlinear system using Hammerstein model that consists of a static nonlinear polynomial function followed in series by a linear step response dynamic element. A new nonlinear Hammerstein DMC algorithm (named NLH-DMC) is presented in detail. The set point tracking and disturbance rejection simulation results of a strong nonlinear PH neutralization process control show that NLH-DMC gives better control performance than linear DMC (LDMC) and the nonlinear PID (NL-PID) controller commonly used in process industry. Further simulation experiment demonstrates that NLH-DMC not only gives good control response, but also possesses good stability and robustness even existing large modeling errors
Keywords :
matrix algebra; nonlinear control systems; polynomials; predictive control; three-term control; Hammerstein model; PH process control; disturbance rejection; dynamic matrix control; linear step response dynamic element; nonlinear Hammerstein systems; nonlinear PH neutralization process control; nonlinear PID controller; nonlinear model predictive control; set point tracking; static nonlinear polynomial function; Algorithm design and analysis; Control system synthesis; Heuristic algorithms; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Polynomials; Process control; Robust stability; Three-term control; Dynamic Matrix Control (DMC); Hammerstein Model; Nonlinear Model Predictive Control (NMPC); PH Process Control;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1712703