Ren Luoyao, Wang Dazhi, Zhang Yupeng
College of Information Science and Engineering, Northeastern University, Shenyang 110819, China.
Micromachines (Basel). 2024 Oct 21;15(10):1277. doi: 10.3390/mi15101277.
This paper presents a new methodology for determining the optimal coefficients of a PID controller for a four-switch buck-boost (FSBB) converter. The main objective of this research is to improve the performance of FSBB converters by fine-tuning the parameters of the PID controller using the newly developed Aquila Optimizer (AO). PID controllers are widely recognized for their simple yet effective control in FSBB converters. However, to further improve the efficiency and reliability of the control system, the PID control parameters must be optimized. In this context, the application of the AO algorithm proves to be a significant advance. By optimizing the PID coefficients, the dynamic responsiveness of the system can be improved, thus reducing the response time. In addition, the robustness of the control system is enhanced, which is essential to ensure stable and reliable operation under varying conditions. The use of AOs plays a key role in maintaining system stability and ensuring the proper operation of the control system even under challenging conditions. In order to demonstrate the effectiveness and potential of the proposed method, the performance of the AO-optimized PID controller was compared with that of PID controllers tuned by other optimization algorithms in the same test environment. The results show that the AO outperforms the other optimization algorithms in terms of dynamic response and robustness, thus validating the efficiency and correctness of the proposed method. This work highlights the advantages of using the Aquila Optimizer in the PID tuning of FSBB converters, providing a promising solution for improving system performance.
本文提出了一种确定四开关降压-升压（FSBB）变换器PID控制器最优系数的新方法。本研究的主要目标是通过使用新开发的天鹰座优化器（AO）微调PID控制器的参数，来提高FSBB变换器的性能。PID控制器因其在FSBB变换器中简单而有效的控制而被广泛认可。然而，为了进一步提高控制系统的效率和可靠性，必须对PID控制参数进行优化。在这种情况下，AO算法的应用被证明是一个重大进展。通过优化PID系数，可以提高系统的动态响应能力，从而减少响应时间。此外，控制系统的鲁棒性得到增强，这对于确保在变化条件下稳定可靠地运行至关重要。AO的使用在维持系统稳定性以及确保控制系统即使在具有挑战性的条件下也能正常运行方面发挥着关键作用。为了证明所提方法的有效性和潜力，在相同测试环境下，将AO优化的PID控制器的性能与其他优化算法调整的PID控制器的性能进行了比较。结果表明，在动态响应和鲁棒性方面，AO优于其他优化算法，从而验证了所提方法的有效性和正确性。这项工作突出了在FSBB变换器的PID整定中使用天鹰座优化器的优点，为提高系统性能提供了一个有前景的解决方案。
