Title :
Fermenter Temperature Control Based on LSSVM and MPC
Author :
Yan, Gang ; Liang, Ximing ; Li, Shanchun ; Long, Wen ; Long, Zuqiang ; Li, Xiang
Author_Institution :
Sch. of Inf. Sci. & Eng., Central South Univ., Changsha, China
Abstract :
Aiming at fermenter temperature control, a novel control scheme based on least squares support vector machine (LSSVM) and model predictive control (MPC) is proposed. Existent PID control doesn´t consider the model of controlled object, so it tends to bring steady-state error. So the proposed method utilizes LSSVM to obtain fermenter temperature´s model and then uses it to implement MPC. The simulation results show that the proposed method has better control performance than PID control.
Keywords :
beverage industry; fermentation; least squares approximations; predictive control; support vector machines; temperature control; beer industry; fermentation process; fermenter temperature control; least squares support vector machine; model predictive control; steady-state error; Least squares methods; Neural networks; Pi control; Predictive control; Predictive models; Proportional control; Space technology; Support vector machines; Temperature control; Three-term control; PID control; fermenter temperature control; least squares support vector machine; model predictive control;
Conference_Titel :
Computing, Control and Industrial Engineering (CCIE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-4026-9
DOI :
10.1109/CCIE.2010.11
