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数学模型难以描述复杂不确定性的过程。为了避免复杂不确定性过程控制中用数学范式建模与控制的困境,探索了一种基于无模型的智能控制策略。基于分解协调原理,对过程控制的难点进行了剖析,总结了底层复杂不确定性过程的控制论特征,研究了面向独立子过程的无模型多模态智能控制策略,并构造了一种多模态控制算法。实验仿真的响应曲线表明:基于仿人智能控制的多模态控制策略能获得预期的良好控制品质。研究结果表明:提出的多模态控制策略是合理可行的。
Mathematical models difficult to describe the process of complex uncertainty. In order to avoid the dilemma of mathematical paradigm modeling and control in the process control of complex uncertainties, an intelligent control strategy based on modelless is explored. Based on the principle of decomposition and coordination, this paper analyzes the difficulty of process control, sums up the cybernetics features of the underlying complex uncertain process, studies the model-free and multi-modal intelligent control strategy for independent subprocess, and constructs a multi-mode State Control Algorithm. The response curves of the experimental simulation show that the multi-modal control strategy based on artificial intelligence control can achieve the expected good control quality. The results show that the proposed multi-modal control strategy is reasonable and feasible.