Improved Simplified Model Predictive Controller Design for Unstable and Integrating delayed Processes

Pooja Lodhi, Bharat Verma, P. Padhy
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Abstract

In this article, a Simple Model Predictive Control (SMPC) is proposed for the unstable and integrating delayed processes. The proposed SMPC controller algorithm is designed and derived by incorporating the Internal Model Control concept. The proposed algorithm shows significant performance improvement over the existing SMPC controller. Moreover, the IMC-based SMPC controller also improved the process performance with time delay. The tuning parameters of the proposed SMPC are optimized using the Genetic Algorithm. Improvement of the proposed controller is validated with the help of three MATLAB simulation examples of unstable, and integrating delayed processes.
不稳定和集成延迟过程的改进简化模型预测控制器设计
针对不稳定的集成延迟过程,提出了一种简单模型预测控制(SMPC)。结合内模控制的概念,设计并推导了SMPC控制器算法。与现有的SMPC控制器相比,该算法的性能得到了显著提高。此外,基于imc的SMPC控制器还提高了具有时滞的过程性能。采用遗传算法对SMPC的调谐参数进行了优化。通过三个不稳定和集成延迟过程的MATLAB仿真实例验证了所提控制器的改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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