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Journal of Zhejiang University SCIENCE C
ISSN 1869-1951(Print), 1869-196x(Online), Monthly
2014 Vol.15 No.2 P.139-146
Model predictive control of servo motor driven constant pump hydraulic system in injection molding process based on neurodynamic optimization
Abstract: In view of the high energy consumption and low response speed of the traditional hydraulic system for an injection molding machine, a servo motor driven constant pump hydraulic system is designed for a precision injection molding process, which uses a servo motor, a constant pump, and a pressure sensor, instead of a common motor, a constant pump, a pressure proportion valve, and a flow proportion valve. A model predictive control strategy based on neurodynamic optimization is proposed to control this new hydraulic system in the injection molding process. Simulation results showed that this control method has good control precision and quick response.
Key words: Model predictive control, Recurrent neural network, Neurodynamic optimization, Injection molding machine
创新方法：由于在线优化的速度和计算能力限制，目前模型预测控制主要应用于控制器性能高、反应过程较慢的大型过程控制系统。本文将基于神经动态优化的模型预测控制应用于注塑成型过程，利用神经动态优化的在线并行优化处理能力，提高了优化速度，使得模型预测控制可以应用于较快响应的动态过程控制。
研究手段：建立了注塑过程伺服驱动定量泵液压系统模型，并将其转化为非线性投影系统形式，然后采用基于神经动态优化的模型预测控制方法对其进行精确控制，解决了快速响应过程的模型预测控制快速在线优化问题，克服了注塑过程中外界的干扰，实现了精确闭环控制。
重要结论：由于神经网络并行处理和分布式计算特点，基于神经动态优化的模型预测控制使得优化速度满足注塑成型过程的精确模型预测控制。模型预测控制可以扩展到一类变化较快对象的控制。
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DOI:
10.1631/jzus.C1300182
CLC number:
TP273.1
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On-line Access:
2014-01-29
Received:
2013-07-09
Revision Accepted:
2013-11-18
Crosschecked:
2014-01-15