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针对不确定性导致的塑胶工件硫化过程难于实施数学建模精准控制,探讨了一种强鲁棒智能控制策略。剖析了胶塑工件的硫化效应影响因素,总结了塑胶工件硫化过程的控制论特性,研究了与硫化过程相匹配的强鲁棒控制策略,并构造了一种基于仿人智能的强鲁棒控制算法。以典型二阶滞后硫化等效模型为例,基于Matlab软件平台的仿真对比研究,验证了研究控制策略的强鲁棒性能。仿真结果表明:提出的控制策略可对塑胶工件硫化过程实施优化控制,所构造的智能控制算法是合理、可行与有效的。
In view of the uncertainties, it is difficult to carry out the mathematical modeling and precise control of vulcanization process of plastic parts, and a robust robust intelligent control strategy is discussed. The influencing factors of vulcanization effect of plastic parts are analyzed. The cybernetics characteristics of plastic parts vulcanization process are summarized. A strong robust control strategy matching with vulcanization process is studied. A strong robust control based on human intelligence algorithm. Taking the typical second-order lag-cure equivalent model as an example, the simulation and comparison study based on Matlab software platform verifies the strong robustness of the control strategy. The simulation results show that the proposed control strategy can optimize the curing process of plastic parts, and the intelligent control algorithm is reasonable, feasible and effective.