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针对实际工业过程中控制系统经常会受到时变扰动的影响,致使针对单一扰动模型设计的性能评估方法不再适用于时变扰动控制系统的问题,提出了基于多模型混合的广义最小方差控制性能评估方法.该方法综合考虑被控对象输出方差与控制器输出方差的两个指标,同时提出了一种“判断—加权”的控制器设计策略.首先,在任一时间段选取使广义输出方差最小的控制器,并判断其与上一时间段采用的控制器是否一致;然后,在此基础上采用多模型混合思想进行控制器设计,并将其作用下的广义输出方差作为性能评估的基准.通过乙烯裂解炉仿真,验证了本文所述方法在时变系统性能评估中的有效性.
In view of the fact that the control system in real industrial processes is often affected by time-varying perturbations, the performance evaluation method for single perturbation model design is no longer suitable for the problem of time-varying perturbation control systems. A generalized minimum variance control performance based on multi- This method takes into account two indicators of the output variance of the controlled object and the output variance of the controller, and proposes a controller design strategy of “judgment-weighting” .Firstly, at any time period, the generalized output The controller with the smallest variance and the controller with the same time; and then, based on this, we use the multi-model hybrid idea to design the controller, and use its generalized output variance as the performance evaluation The simulation results show that the method described in this paper is effective in time-varying system performance evaluation.