Optimal Fractional PID Controller for Buck Converter Using Cohort Intelligent Algorithm
Optimal Fractional PID Controller for Buck Converter Using Cohort Intelligent Algorithm
复制标题
使用同类智能算法的降压转换器最优分数 PID 控制器
DOI：
10.3390/asi4030050
复制
发表时间：
2021
影响因子：
3.8
通讯作者：
Pritesh Shah
中科院分区：
文献类型：
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作者：
Preeti Warrier;Pritesh Shah
由于其非线性性质，对电源转换器的控制很困难，因此，对智能和高效控制器的追求是连续且持续的。近年来，分数阶控制器在电力电子系统中表现出卓越的性能。但是，要获得此类系统类型的分数订单控制器的最佳参数是一个挑战。本文介绍了使用队列智能（CI）优化方法的降压转换器的分数阶PID（FOPID）控制器的最佳设计。 CI是一种基于人工智能的社会启发的元元素算法，该算法受到一组称为同类群体的候选人的行为的启发。 FOPID控制器参数设计用于最小化各种性能索引，更加重视积分误差（ISE）性能索引。与常规PID控制器相比，FOPID控制器显示出更快的瞬态和动态响应特性。与GA，PSO，ABC和SA这样的不同优化技术的提议方法比较在较小的计算时间中显示出良好的结果。因此，CI方法可以有效地用于FOPID控制器的最佳调整，因为它以更快的速度给出了与其他优化算法相当的结果。可以针对多个目标进行优化此类控制器，并用于控制各种电源转换器，从而导致更有效的系统符合行业4.0标准。
The control of power converters is difficult due to their non-linear nature and, hence, the quest for smart and efficient controllers is continuous and ongoing. Fractional-order controllers have demonstrated superior performance in power electronic systems in recent years. However, it is a challenge to attain optimal parameters of the fractional-order controller for such types of systems. This article describes the optimal design of a fractional order PID (FOPID) controller for a buck converter using the cohort intelligence (CI) optimization approach. The CI is an artificial intelligence-based socio-inspired meta-heuristic algorithm, which has been inspired by the behavior of a group of candidates called a cohort. The FOPID controller parameters are designed for the minimization of various performance indices, with more emphasis on the integral squared error (ISE) performance index. The FOPID controller shows faster transient and dynamic response characteristics in comparison to the conventional PID controller. Comparison of the proposed method with different optimization techniques like the GA, PSO, ABC, and SA shows good results in lesser computational time. Hence the CI method can be effectively used for the optimal tuning of FOPID controllers, as it gives comparable results to other optimization algorithms at a much faster rate. Such controllers can be optimized for multiple objectives and used in the control of various power converters giving rise to more efficient systems catering to the Industry 4.0 standards.
DOI：
10.1002/9780470549124
发表时间：
2010-08
期刊：
--
影响因子：
--
作者：
Singiresu S. Rao
通讯作者：
Singiresu S. Rao