基于粒子群算法的固体氧化物燃料电池分数阶PID控制器优化设计

Swati Singh, V. K. Tayal, H. P. Singh, V. Yadav
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引用次数: 0

摘要

固体氧化物燃料电池(sofc)因其便携性、低污染和高效率等优点,越来越受到人们的青睐。然而,由于负载条件的强非线性、快速变化和缓慢的动态特性,sofc输出电压的调节受到干扰。本文旨在通过采用PI、PI Fast、PIDF、2自由度PID和PSO优化的FO-PID控制器来增强SOFC在不确定输入条件下的动态性能。PID整定器用于整定PI、PI fast、PIDF和2自由度PID控制器参数。利用粒子群算法对FO-PID控制器进行优化。对不同控制器的SOFC输出进行了性能指标的比较,如峰值超调、稳定时间、稳态误差和上升时间。计算机仿真结果的比较表明,PSO-FOPID控制器方案在不确定输入下的SOFC具有更好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Design of Fractional Order PID Controllers for Solid Oxide Fuel Cell System Employing PSO Algorithm
Solid Oxide Fuel Cells (SOFCs) are gaining attraction in order to facilitate various applications owing to portability, low pollution and high efficiency. However, due to strong nonlinearity, fast variations in loading conditions and sluggish dynamics, regulation of the output voltage of SOFCs is disturbed. This paper aims to enhance the dynamic performance of SOFC by employing PI, PI Fast, PIDF, 2-DOF PID and PSO optimized FO-PID controllers under uncertain input conditions. The PID tuner is used for tuning the PI, PI fast, PIDF and 2-DOF PID controller parameters. The PSO technique is utilized for optimizing of FO-PID controller. The SOFC output with various controllers is compared in terms of performance specifications such as peak overshoot, settling time, steady state error and rise time. The comparison of computer simulation results manifests that the proposed PSO-FOPID controller scheme yields in far better performance with SOFC subjected to uncertain input.
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