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针对不确定性导致的复杂大时滞过程控制精度低的问题,提出了一种基于算法融合的控制策略。研究了控制难点与控制论特性,基于大时滞复杂过程特性,融合了积分控制有利于消除稳态误差,Smith预估控制有利于时滞的补偿,模糊控制有利于处理某些不确定性控制,集成各自的优势,给出了一种I-Fuzzy-Smith控制算法。基于Matlab仿真,以大时滞惯性过程为例,分别采用PID、FuzzySmith和I-Fuzzy-Smith控制进行了比较研究,响应验证了融合控制策略在系统动、静态性能和鲁棒性方面的优势。研究结果表明:提出的融合控制策略控制精度高,并表现出很强的鲁棒性。
Aiming at the problem of low control accuracy of complex large time delay caused by uncertainty, a control strategy based on algorithm fusion is proposed. Based on the characteristics of complex processes with large time delay, the integration of integral control is helpful to eliminate the steady state error. The Smith predictor control is in favor of the delay compensation. Fuzzy control is beneficial to handle some uncertainties , Integrated their own advantages, gives an I-Fuzzy-Smith control algorithm. Based on the Matlab simulation, a large time-lag inertial process is taken as an example. The PID, FuzzySmith and I-Fuzzy-Smith control are respectively compared and studied. The response verifies the advantages of the fusion control strategy in system dynamic performance, static performance and robustness. The results show that the proposed fusion control strategy has high control accuracy and robustness.