Title :
Multivariable self-tuning temperature control for plastic injection molding process
Author :
Tsai, Ching-Chih ; Lu, Chi-Huang
Author_Institution :
Dept. of Electr. Eng., Nat. Chung-Hsing Univ., Taichung, Taiwan
Abstract :
This paper develops a multivariable self-tuning predictive control for improving set-point tracking performance, disturbance rejection, and robustness of a temperature control system for an extruder barrel in a plastic injection molding process. The stochastic discrete-time multivariable mathematical model is built and its unknown system parameters are identified by using the recursive least-squares estimation method. The multivariable predictive control is derived based on the minimization of a generalized predictive performance criterion. A real-time self-tuning control algorithm is proposed and then implemented by using a digital signal processor (DSP) TMS320C31 from Texas Instruments. Experimental results are used to show the feasibility and effectiveness of the proposed method
Keywords :
digital signal processing chips; least squares approximations; multivariable control systems; predictive control; process control; recursive estimation; robust control; self-adjusting systems; stochastic processes; temperature control; TMS320C31 DSP; Texas Instruments; digital signal processor; disturbance rejection; extruder barrel; mathematical model; multivariable self-tuning temperature control; plastic injection molding process; predictive control; predictive performance minimisation; real-time self-tuning control algorithm; recursive least-squares estimation; set-point tracking performance; stochastic discrete-time model; temperature control robustness; Digital signal processors; Injection molding; Mathematical model; Plastics; Predictive control; Recursive estimation; Robust control; Signal processing algorithms; Stochastic systems; Temperature control;
Journal_Title :
Industry Applications, IEEE Transactions on
