Research and Design of Single Phase Inverter Based on Fuzzy PID Control

2021 IEEE/ACIS 22nd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2021-11-24 DOI:10.1109/SNPD51163.2021.9704969

Xuebin Qin, Xing Nian, Weipeng Gao

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引用次数: 3

Abstract

Fuzzy control rules can be converted into mathematical functions through fuzzy set theory and fuzzy reasoning theory, which can be easily combined with other physical laws to realize control strategies through computer software. At the same time, the fuzzy rules designed by expert experience can effectively control complex controlled objects, after actual debugging, its robustness and adaptability can easily meet the requirements. Combined with the fuzzy self-tuning PID control strategy, a fuzzy PID control system of the vehicle inverter is designed. Through the analysis of the inverter control system in the specific project, the mathematical model of the entire control system is obtained, and MATLAB simulation is carried out. The simulation results show that the fuzzy PID control system greatly improves the steady-state performance of the system, the output waveform distortion is small, and the harmonic content is low, which better meets the control requirements of the vehicle inverter.

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基于模糊PID控制的单相逆变器研究与设计

模糊控制规则可以通过模糊集理论和模糊推理理论转化为数学函数，可以很容易地与其他物理定律相结合，通过计算机软件实现控制策略。同时，通过专家经验设计的模糊规则能够有效地控制复杂的被控对象，经过实际调试，其鲁棒性和自适应性都很容易满足要求。结合模糊自整定PID控制策略，设计了车载逆变器的模糊PID控制系统。通过对具体工程中的逆变器控制系统的分析，得到了整个控制系统的数学模型，并进行了MATLAB仿真。仿真结果表明，模糊PID控制系统大大提高了系统的稳态性能，输出波形失真小，谐波含量低，较好地满足了车载逆变器的控制要求。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2021 IEEE/ACIS 22nd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)

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