换电机器人举升系统结构及控制参数集成优化
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重庆大学 机械与运载工程学院,重庆 400044

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中图分类号:

TH112???????

基金项目:

国家自然科学基金资助项目(51975075)、重庆市技术创新与应用发展专项资助项目(cstc2020jscx-msxmX0202)。


Integrated Optimization of the Structure and Control Parameters of the Battery Swap Robot Lifting System
Author:
Affiliation:

College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing 400044, P.R.China

Fund Project:

Supported by the National Science Foundation of China (51975075), and the Chongqing Technology Innovation and Application Development Project (cstc2020jscx-msxmX0221)

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    摘要:

    为提升纯电动汽车换电机器人续航能力,提出一种面向节能的换电机器人举升系统结构及控制参数集成优化方法。首先,对换电机器人举升系统结构进行参数初步匹配;然后,设计滑模变结构控制器,基于此建立举升系统举升过程的能耗模型;其次,建立以举升系统能耗和角位移稳态误差为目标的优化模型,并利用多目标优化算法进行求解以获得举升能耗和角位移误差最优的结构和控制参数组合;最后,通过实验验证优化结果的可靠性。优化结果表明:经集成优化后稳态误差降低了53.68%,举升系统能耗降低了10.93%。

    Abstract:

    In order to improve the battery life of the battery swap robot, an energy-saving-oriented battery swap robot lifting system structure and control parameter integration optimization method is proposed. Firstly, perform preliminary parameter matching on the structure of the battery swap robot lifting system; then, design a sliding mode variable structure controller, and based on this, establish an energy consumption model for the lifting process of the lifting system. Secondly, establish an optimization model targeting the energy consumption of the lifting system and the steady-state error of angular displacement, and the multi-objective optimization algorithm is used to solve it to obtain the optimal combination of the structure and control parameters for the lifting energy consumption and angular displacement error. Finally, the reliability of the optimization results is verified through experiments. The optimization results show that the steady-state error is reduced by 53.68% after the integrated optimization, and the energy consumption of the lifting system is reduced by 10.93%.

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  • 收稿日期:2021-10-12
  • 最后修改日期:2021-11-12
  • 录用日期:2021-11-15
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