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针对复杂大系统工业底层难以实施数学建模控制的问题,探讨了一种基于智能策略的多模态控制方法。分析了复杂大系统的控制论特性,指出了复杂过程控制存在的难题,讨论了分解协调原理,将复杂过程分解为若干子过程,面向独立子过程,提出了基于多模态控制的智能策略,对工业底层的子过程构造了多模态控制算法。以惯性滞后过程为例进行仿真的比较实验。结果证明:采用多模态控制有比较好的动静态控制品质。研究结果表明提出的控制策略是合理与可用的。
Aiming at the problem that it is difficult to implement mathematical modeling control in the bottom of complex large-scale industrial system, a multi-modal control method based on intelligent strategy is discussed. The cybernetics features of complex large-scale systems are analyzed, and the problems existing in complex process control are pointed out. The principle of decomposition coordination is discussed. The complex process is decomposed into several sub-processes. For the independent sub-processes, an intelligent strategy based on multi-modal control is proposed. A multi-modal control algorithm is constructed for sub-processes in the industry. Take inertia hysteresis process as an example to simulate the comparative experiment. The results show that: the use of multi-modal control has better dynamic and static control quality. The results show that the proposed control strategy is reasonable and available.