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Cascaded PI Controller Tuning for Power Plant Superheated Steam Temperature based on Multi-Objective Optimization

机译：基于多目标优化的电厂过热蒸汽温度级联PI控制器整定

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摘要

To improve the superheated steam temperature (SST) control performance, this paper considers the conflicting objectives in SST control, multi-objective optimization (MOO) algorithm is employed in this paper. Firstly, the inner-loop PI controller is optimized by considering the objectives of set-point tracking and disturbance rejection, with and without constraints on robustness level. It is found that robustness constraint is essential in the optimization. Secondly, the regulation performance of the outer-loop PI controller is addressed by optimizing the disturbance rejection and robustness simultaneously. The parameter are determined based on the simulation comparison between the non-dominated solutions. The simulation results demonstrate a promising prospect of promoting the proposed strategy to more industrial practices.
机译：为了提高过热蒸汽温度（SST）控制性能，考虑了SST控制中相互矛盾的目标，采用了多目标优化（MOO）算法。首先，通过考虑设定点跟踪和干扰抑制的目标来优化内环PI控制器，并在鲁棒性水平上进行约束。发现鲁棒性约束对于优化至关重要。其次，通过同时优化干扰抑制和鲁棒性来解决外环PI控制器的调节性能。基于非支配解之间的仿真比较来确定参数。仿真结果证明了将拟议的策略推广到更多的工业实践的前景广阔。

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