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首页> 外文期刊>Electric Power Components and Systems >Controller Design Using Ant Colony Algorithm for a Non-inverting Buck-Boost Chopper Based on a Detailed Average Model
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Controller Design Using Ant Colony Algorithm for a Non-inverting Buck-Boost Chopper Based on a Detailed Average Model

机译：基于平均模型的蚁群算法用于同相降压-升压斩波器的控制器设计

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摘要

In this article, the non-inverting buck-boost converter and its operation modes are scrutinized. The closed-loop stability of the converter in buck and boost modes is analyzed, and the necessity of using an appropriated controller is demonstrated. Then the application of an adapted ant colony optimization to design a feedback controller is proposed, and a controller based on its existing model is tuned. Simulation and experimental results obtained from the ant colony optimization designed controller are then compared with a controller designed with the classic method. Although the simulation and experimental results prove the efficiency of the proposed control approach, a significant difference between controller behavior in practice and simulation is obvious. Finding these differences, more detailed models, including all parasitic elements, in the buck and boost modes are derived. Applying the proposed model in controller design illustrates that the desired performance of the converter can be guaranteed with a simple proportional-integral (PI) controller. The suggested ant colony-based controller is again tuned based on the more detailed model, which improves the performance of the converter system even more. Furthermore, good agreement between analytical and experimental outputs validates the accuracy of the modeling and simulation.
机译：在本文中，对同相降压-升压转换器及其工作模式进行了详细研究。分析了降压和升压模式下转换器的闭环稳定性，并说明了使用适当控制器的必要性。然后提出了一种自适应蚁群算法在设计反馈控制器中的应用，并基于其现有模型对控制器进行了优化。然后将从蚁群优化设计的控制器获得的仿真和实验结果与经典方法设计的控制器进行比较。尽管仿真和实验结果证明了所提出的控制方法的有效性，但是在实践和仿真中控制器行为之间的显着差异是显而易见的。通过发现这些差异，可以推导出降压和升压模式下更详细的模型，包括所有寄生元件。将所提出的模型应用于控制器设计表明，可以通过简单的比例积分（PI）控制器来保证转换器的期望性能。再次基于更详细的模型对建议的基于蚁群的控制器进行调整，从而进一步提高了转换系统的性能。此外，分析和实验输出之间的良好一致性验证了建模和仿真的准确性。

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