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Design of robust fractional order PID controllers for coupled tank systems using multi-objective particle swarm optimisation

机译:基于多目标粒子群算法的耦合坦克系统鲁棒分数阶PID控制器设计

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Liquid level control in multiple connected tanks is a nonlinear control problem and is centre to various diverse industrial establishments, especially chemical process industries. The quality of products and process safety greatly relies upon the quality of control. In this paper, robust liquid level control for coupled tank systems has been proposed using optimal fractional order PID controllers. The controller tuning has been posed as multi-objective mixed sensitivity minimisation problem and is solved using multi-objective variant of particle swarm optimisation (MOPSO). At the end of the optimisation process, Pareto optimal set (POS) of solutions has been obtained. For choosing an optimal solution from the POS, there are several graphical methods like Pareto front, scatter matrices, parallel coordinate representations, etc. But these methods offer a very compact representation of the data and the problem arises for m-dimensional problems. So to ease the decision-making process, the paper also explores the use of level diagrams for aiding the decision maker in choosing the ideal solution from the Pareto optimal set. The designed fractional order PID controllers present robust behaviour to external disturbances and efficient tracking of the reference signal and the results obtained has been compared with different controller tuning algorithms.
机译:多个连接罐中的液位控制是一个非线性控制问题,并且是各种不同的工业机构(尤其是化学过程工业)的中心。产品质量和过程安全性在很大程度上取决于控制质量。在本文中,已经提出了使用最优分数阶PID控制器的耦合罐系统鲁棒液位控制。控制器调整已被提出为多目标混合灵敏度最小化问题,并使用粒子群优化(MOPSO)的多目标变体解决了。在优化过程的最后,已经获得了帕累托最优解集(POS)。为了从POS选择最佳解决方案,有几种图形方法,例如Pareto前沿,散点矩阵,平行坐标表示等。但是这些方法提供了非常紧凑的数据表示,并且出现了m维问题。因此,为了简化决策过程,本文还探讨了使用层次图来帮助决策者从Pareto最优集合中选择理想解决方案。设计的分数阶PID控制器表现出对外部干扰的鲁棒性能,并能有效跟踪参考信号,并且将获得的结果与不同的控制器调整算法进行了比较。

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