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Optimization of Pid Controller Parameters For So2 Emission Control process Using PSO Algorithm

机译:使用PSO算法优化So2排放控制过程中PID控制器参数

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This paper presents the application of ND controller for SO, emission control process using Particle Swam Optimization PSO) algorithm. To minimize the impacts of SO, it must be removed from flue gas. Zeiglar-Nichols based PID (ZN-PID) controller is developed for SD= emission control process using MATLAB/SIMULINK platform. Based on the tuning parameters of ZN-PID controller, optimi-zation of ND controller parameters are obtained based on PSO algorithm. Performance of the PSO based PID controller is analysed and compared with Ziegler-Nichols PID controller (ZN-PID) and IMC controller in terms of time domain performance measures such as settling time and rise time (t, and t) and error indices (LSE„ IAE, ITAE). The simulation results proved that the PSO-PID controller provides most consistent performance as compared to the conventional controllers.
机译:本文介绍了ND控制器在SO,采用粒子群算法(PSO)的排放控制过程中的应用。为了最大程度地减少SO的影响,必须将SO从烟气中去除。基于Zeiglar-Nichols的PID(ZN-PID)控制器是使用MATLAB / SIMULINK平台开发的,用于SD =排放控制过程。基于ZN-PID控制器的整定参数,基于PSO算法对ND控制器参数进行了优化。分析了基于PSO的PID控制器的性能,并在时域性能指标(例如稳定时间和上升时间(t和t)以及误差指数(LSE))上与Ziegler-Nichols PID控制器(ZN-PID)和IMC控制器进行了比较。 IAE,ITAE)。仿真结果证明,与传统控制器相比,PSO-PID控制器提供了最一致的性能。

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