Title :
Research on MAC in Zinc-Air Battery Pole Manufacturing Line
Author :
Yuming, Guan ; Zhifeng, Wang ; Yanjun, Xiao ; Bo, Xu
Author_Institution :
Res. Inst. of Battery Product Equip., Hebei Univ. of Technol. (HEBUT), Tianjin, China
Abstract :
The system of zinc-air battery pole manufacturing line is multi-variable, large time lag and strong coupling, and it is difficult to build the precise math model. So the traditional PID control is difficultly designed and realized. Since the recent years, the self-adaptive and self-tuning control has been rapidly developed, which can resolve uncertain questions in some degree. But in nature it still request model identification online, and the robust is not very well. The model algorithmic control (MAC), brought forward by Mehra etc, is one of predictive control theories. It adopts the non-parameter model based the pulse or step response of the controlled object, and doesnpsilat need precise model. At the same time, the MAC is convenient to be acquired and the control quality is excellent. In this paper, the MAC was applied in zinc-air battery pole manufacturing line, which adopts the strategies of reference trajectory, online calibration and optimization calculation. Through the simulation results, the controller can concertedly regulate control variable, and achieve the goal, which the PID controller can´t do.
Keywords :
adaptive control; manufacturing systems; predictive control; three-term control; zinc; MAC; PID control; manufacturing system; model algorithmic control; predictive control; self-adaptive control; self-tuning control; zinc-air battery pole manufacturing line; Batteries; Calibration; Coils; Information technology; Nickel; Predictive control; Predictive models; Sampling methods; Three-term control; Virtual manufacturing; MAC; online calibration; predictive control;
Conference_Titel :
Information Technology and Applications, 2009. IFITA '09. International Forum on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3600-2
DOI :
10.1109/IFITA.2009.113