对一款用于轮椅应用的低成本微控制器上实施的模糊控制系统的统计评估
Luis F F Souza1,2, João G C Passos3, Augusto S Cerqueira1
1Electrical Engineering Department, UFJF, Juiz de Fora, Brazil.
Disability and rehabilitation. Assistive technology
|November 7, 2025
概括
为辅助技术优化模糊控制系统需要平衡代步骤 (IS) 和微控制器选择. 中间的IS值为头部控制轮椅提供了最好的速度准确性权衡.
科学领域:
- 工程 工程师 工程师 工程师
- 计算机科学 计算机科学
- 控制系统 控制系统
背景情况:
- 模糊控制系统为头部控制轮椅等辅助技术提供了低成本,高效的解决方案.
- 实际实施对设计参数如代步骤 (IS),微控制器架构和会员功能重叠敏感.
研究的目的:
- 为了统计评估Arduino Mega和Due微控制器上的模糊控制系统性能.
- 调查代步骤 (IS),微控制器架构和会员功能重叠对系统准确性和处理时间的影响.
主要方法:
- 在Arduino Mega和Due微控制器上实现了一个模糊的控制系统.
- 使用根平均平方误差 (RMSE) 和处理时间评估系统性能.
- 利用重心 (COG) 方法去模糊,并分析了不同IS和会员功能重叠的影响.
主要成果:
- 较小的IS值提高了精度,但导致了较长的处理时间 (>700ms).
- 中间的IS值 (0.1,1) 提供了最佳的速度精度权衡 (RMSE < 0.13%,处理时间 < 260ms).
- 在低IS值时,Arduino Due显示出优越的处理速度;在更高IS值时,Arduino Mega是一个具有成本效益的选择.
结论:
- 为优化低成本系统中模糊控制参数提供经验指导.
- 这些发现对于要求实时响应和准确性,如辅助轮椅等应用至关重要.
- 参数调整对于在资源受限的嵌入式系统中高效的模糊逻辑实现至关重要.
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