Abstract

Nonlinear plants with derived Takagi–Sugeno–Kang plant models can be successfully controlled by model-based fuzzy logic controllers built as parallel distributed compensation (PDC). The PDC simple structure of a few fuzzy rules facilitates both the design based on the well-mastered linear control technique and the real time industrial implementation via programmable logic controllers. The novelty of the present research is the optimisation of the PDC tuning parameters in order to improve the performance of the closed-loop system for the control of the liquid level in a carbonisation column for soda ash production. A multiobjective optimisation is carried out off-line using genetic algorithms and simulations. The improvement of the closed-loop system dynamic accuracy and the reduction of the control action variance for saving lifetime of the expensive control valve are assessed via simulation and real time industrial experiments in comparison to the system with the tuned by classical approaches PDC.

中文翻译：

---

炭化塔液位实时控制的并行分布补偿优化

摘要

带有派生的Takagi–Sugeno–Kang工厂模型的非线性工厂可以通过基于模型的模糊逻辑控制器成功构建，该控制器被构建为并行分布式补偿（PDC）。带有一些模糊规则的PDC简单结构有助于基于熟练的线性控制技术的设计以及通过可编程逻辑控制器的实时工业实现。本研究的新颖之处在于优化了PDC调节参数，以提高用于控制纯碱生产碳化塔中液位的闭环系统的性能。使用遗传算法和模拟离线进行多目标优化。