【摘要】 针对硫化过程中因模糊性与不确定性导致的塑胶产品成形过程难以控制、产品质量稳定性差的问题,提出了一种智能融合控制策略。总结了复杂硫化过程中的控制难点,探讨了硫化过程的控制论特性,研究了对不确定性复杂过程的控制策略,讨论了控制模型,提出了智能融合控制策略,基于仿人智能构造了基本控制算法。仿真结果显示该策略的鲁棒性强与控制精度高。研究结果表明:智能融合控制策略对不确定性复杂硫化过程实施控制是可行与有效的。更多还原

【Abstract】 The vulcanization of plastic & rubber products is a typical complex control process with uncertainty. Aimed at the puzzle that the shaping process of plastic & rubber products is difficult to control resulted from fuzzification and uncertainty, and poor in stability of product quality in the process of vulcanization, the paper proposed a sort of intelligence based control strategy based on human simulated intelligent controller. In the paper, it summed up the control puzzles in the process of complex vulcanization, explored the cybernetics characteristic of vulcanizing process, researched on the control strategy of complex process with uncertainty, proposed a sort of intelligence based control strategy, discussed control model, and constructed the control algorithm based on human simulated intelligence. It made the simulation experiment, and the curve of algorithm response demonstrated that it could be stronger in robustness, and higher in control precision compared with PID controller. The research result shows that it is feasible and effective to the proposed control strategy based on human simulated intelligence in actualizing control for complex vulcanizing process with uncertainty.更多还原