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Tuning of a PID controller in a step-down voltage regulator using particle swarm optimization

机译：使用粒子群算法优化降压稳压器中的PID控制器

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In this paper, the particle swarm optimization has been employed to determine the optimum gains of a PID controller used in load voltage control of a dc buck converter. The PSO-based PID tuning technique is investigated with several design criteria such as minimization of overshoot, and integral time absolute error (ITAE). The chopper control system is investigated with different tuning approaches: Conventional empirical methods (Ziegler-Nichols & Cohen-Coon), and Fuzzy Logic. Simulation studies proved that the PID controller tuned by PSO reveal superior response and good load regulation compared to the well-known ZN & CC methods. Moreover, the results have shown that PSO and FL based tuning methods are stable and robust to wide load variation. Better response is observed with the PID controller whose parameters are tuned by PSO compared to the best-obtained results ofFL self-tuning PID controller whose performance is sensitive to scaling factors that must be selected carefully to obtain a satisfactory performance.
机译：在本文中，粒子群优化已被用于确定用于DC降压转换器的负载电压控制的PID控制器的最佳增益。基于PSO的PID调节技术已通过几种设计标准进行了研究，例如最小化过冲和积分时间绝对误差（ITAE）。研究了斩波器控制系统的不同调整方法：传统的经验方法（Ziegler-Nichols和Cohen-Coon）以及模糊逻辑。仿真研究表明，与著名的ZN和CC方法相比，通过PSO调整的PID控制器具有出色的响应和良好的负载调节能力。此外，结果表明，基于PSO和FL的调整方法对于广泛的负载变化稳定且稳定。与通过参数优化（PSO）调整其参数的PID控制器相比，获得最佳效果的FL自调整PID控制器，其性能对比例因子敏感，必须仔细选择以获得满意的性能，才能观察到更好的响应。

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