Scholarlink

This paper considers a control strategy based on backstepping sliding mode control (BSMC) for maximizing the power generation efficiency of the thermoelectric generator (TEG) system. The considered system contains five series TEG modules connected to a resistive load through a boost converter. Thus, the principal objective of the developed method is to allow the TEG system to work to its required MPP by adjusting the boost converter duty cycle, under sudden change in temperature. In addition, in order to enhance the controller performances by optimizing BSMC parameters, the proposed controlling approach is further associated to an evolutionary algorithm based bald eagle search algorithm (BES). Finally, the results of simulation, illustrated to present the effectiveness and the feasibility of the developed control scheme, show that the proposed BSMC controller-based BES algorithm offers higher response speed, a lesser stable-state error and a fast feedback against varying temperature conditions, compared to the conventional SMC.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

An Intelligent MPPT Controller Based on Bald Eagle Search Optimization Algorithm for a Thermoelectric Generator System

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • I. Bekki,
  • F.-E. Lamzouri,
  • A. El Amrani,
  • E.-M. Boufounas

摘要

This paper considers a control strategy based on backstepping sliding mode control (BSMC) for maximizing the power generation efficiency of the thermoelectric generator (TEG) system. The considered system contains five series TEG modules connected to a resistive load through a boost converter. Thus, the principal objective of the developed method is to allow the TEG system to work to its required MPP by adjusting the boost converter duty cycle, under sudden change in temperature. In addition, in order to enhance the controller performances by optimizing BSMC parameters, the proposed controlling approach is further associated to an evolutionary algorithm based bald eagle search algorithm (BES). Finally, the results of simulation, illustrated to present the effectiveness and the feasibility of the developed control scheme, show that the proposed BSMC controller-based BES algorithm offers higher response speed, a lesser stable-state error and a fast feedback against varying temperature conditions, compared to the conventional SMC.