Research on Intelligent Power Electronic Inverter Control System Based on Knowledge Base and Data Driven
DOI: 10.23977/jeeem.2024.070309 | Downloads: 2 | Views: 192
Author(s)
Jinshuo Zhang 1
Affiliation(s)
1 Washington University of St. Louis, Saint Louis, Missouri, 63105, USA
Corresponding Author
Jinshuo ZhangABSTRACT
This article delves into the research and development of intelligent control strategies for power electronic inverter systems, shedding light on the latest advancements in the field of intelligent control technologies. Initially, it provides an in-depth analysis of three major control strategies—fuzzy variable structure control, neural network control, and predictive control—examining their respective applications, limitations, and strengths within power electronic systems. These control methods were evaluated in terms of their adaptability, stability, and effectiveness in managing complex nonlinearities and uncertainties present in modern power electronic devices. Building on this contribution, we are introducing an innovative hybrid control system that combines a knowledge-based approach with a data-based approach to develop a new intelligent control system for current lateral controllers. The system utilizes rule-based decision-making capabilities, knowledge-based control, and recognizes both knowledge-based and data-based approaches. A systematic analysis of the hybrid system and its control mechanism shows how effectively the system interprets and adjusts the mechanism in order to optimize the control performance of the electronic balance mechanism. To verify the effectiveness of the proposed system, traditional control systems were compared with independent data-driven approaches. The results show that the data-driven intelligent control system is better than other systems in terms of accuracy and response speed during interference. In addition, the system shows greater resilience when dealing with complex conditions and unexpected events. These findings provide a strong theoretical foundation and practical guidance for the continued optimization and widespread application of intelligent control systems in power electronics, ultimately contributing to the advancement of more efficient and reliable power electronic technologies.
KEYWORDS
Intelligent Power Electronic Inverter, Data-Driven, Knowledge Base, Control SystemCITE THIS PAPER
Jinshuo Zhang, Research on Intelligent Power Electronic Inverter Control System Based on Knowledge Base and Data Driven. Journal of Electrotechnology, Electrical Engineering and Management (2024) Vol. 7: 69-74. DOI: http://dx.doi.org/10.23977/jeeem.2024.070309.
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