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控制系统性能评估是过程控制领域的研究热点,理论研究得到了极大重视,在工业上也得到了一定的应用。性能评估的理论依据最小方差控制律属于随机系统最优控制范畴,与传统的控制理论中控制系统通常作为确定性系统来研究存在差异。Eriksson等人曾注意到在某些条件下,基于最小方差控制的性能评估结果可能存在问题。简略介绍了单回路反馈控制中的最小方差控制实现,以及ARMA和FCOR两种性能指标估计算法,并在Eriksson等人工作的基础上,针对典型的一阶/二阶加纯滞后过程以及积分加纯滞后过程进行仿真实验,对比控制系统的设定值跟踪性能,研究了干扰通道模型的不同对性能评估结果的影响,最后指出在应用性能评估方法时需根据干扰信号注意样本序列的选取。
Control system performance evaluation is a hot research topic in the field of process control. The theoretical research has received great attention and has also been applied industrially. The theoretical basis of performance evaluation The minimum variance control law belongs to the optimal control of random systems. Compared with the traditional control theory, the control system is often used as a deterministic system to study the differences. Eriksson et al. Have noticed that under certain conditions, the performance evaluation based on the minimum variance control may have problems. The implementation of minimum variance control in single-loop feedback control and ARMA and FCOR estimation algorithms are briefly introduced. Based on the work of Eriksson et al., Aiming at the typical first-order / second-order plus-lag process and integral plus The simulation experiments are carried out to simulate the set-value tracking performance of the control system. The influence of the different interference channel models on the performance evaluation results is studied. Finally, it is pointed out that the sample sequence should be selected according to the interference signals when applying the performance evaluation method.