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本文提出一种带有 SMITH预估的极点配置自校正调节器。通过在线估计过程参数,实时地修正 SMITH 补偿模型,并按闭环系统极点配置的原则,实现调节器参数的在线自整定。该算法鲁棒性好,自适应能力强,适用于非最小相位系统,对于具有大纯滞后的时变系统,显示了良好的控制品质。数字仿真结果证实了理论分析的正确性。
This paper presents a pole configuration self-tuning regulator with SMITH estimation. By online estimating the process parameters, the SMITH compensation model can be corrected in real time and the online self-tuning of the regulator parameters can be realized according to the principle of the closed-loop system pole configuration. The algorithm has good robustness and strong adaptive ability, and is suitable for non-minimum phase systems. It shows good control quality for time-varying systems with large pure lag. The numerical simulation results confirm the correctness of the theoretical analysis.