基于混合储能系统的战斗机器人电源管理系统的实施

Nur Rachman Supadmana Muda
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引用次数: 0

摘要

本文介绍了一种基于电源管理(PMS)的资源调节系统,适用于配备电池、超级电容器组和太阳能电池的战斗机器人。为了延长作战机器人的作战时间并增加其续航能力,需要对其进行混合能源存储安排。要集成具有不同特性的多种设备,就必须实施 PMS。通过解决以有限二次方程程序(CQP)形式提出的电源管理问题来分配战斗机器人的负载。对机器人部件的速度、阻力系数和工作点等参数进行优化,然后由 PMS 控制器进行调节。PMS 对机器人操纵过程中的数据信息进行测量,并考虑到控制期间的电源管理问题。在本次研究模拟中,给出了权重因子参数的变化,以确定各种困难,即再生动力管理。模拟结果表明,战斗机器人电源管理控制系统能够为所有组件产生最佳的电力负荷。在另一项研究中,基于非线性模型预测控制进行分析后,CQP 在电源管理方面的性能比较与基准性能相当。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation of a Power Management System on Combat Robots based on a Hybrid Energy Storage System
This paper presents a power management (PMS)-based resource regulation system for combat robots equipped with batteries, supercapacitor banks, and solar cells. Hybrid energy storage source arrangements are needed to increase operational duration and increase the range of combat robots. Integration of multiple devices with different characteristics requires the implementation of a PMS. Distribution of the load of a combat robot by solving a power management problem, formulated as a finite quadratic program (CQP). Optimization of parameters is carried out, such as speed, drag coefficient and operating point of robot components, which are then regulated by the PMS controller. Data information during robot maneuvering by the PMS is measured and takes into account power management issues during the control period. In this research simulation, variations in weight factor parameters are given to determine various difficulties, namely regenerative power management. The simulation results show that the combat robot power management control system is capable of optimally generating electrical power loads for all components. In another study, a comparison of CQP performance in power management is comparable to benchmark performance after being analyzed based on nonlinear model predictive control.
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