改进的分数顺序PID控制器的设计用于下肢康复外骨架机器人,该机器人基于改进的鹿群与灰狼和多节优化算法混合的鹿群
Noor Sabah Mohammed Ali1,2, Muna Hadi Saleh1, Nizar Hadi Abbas1
1Department of Electrical Engineering, College of Engineering, University of Baghdad, Baghdad, Iraq.
Frontiers in robotics and AI
|December 15, 2025
概括
一个新的修改分数顺序比例整数导数 (MFOPID) 控制器提高了下肢康复外骨架机器人的性能. 这种先进的控制器显著改善了轨迹跟踪,减少了错误和定位时间,使患者恢复更安全,更有效.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 控制系统工程 控制系统工程
- 生物医学工程 生物医学工程
背景情况:
- 下肢康复机器人对于恢复残疾患者的运动功能至关重要.
- 有效的轨迹跟踪对于安全高效的机器人辅助康复至关重要.
研究的目的:
- 为一个2DoF下肢康复外骨架机器人 (LLRER) 提出一个修改的分数顺序比例整数导数 (MFOPID) 控制器.
- 为了提高轨迹跟踪性能,减少稳定状态误差,并改善短暂响应.
主要方法:
- MFOPID控制器是通过用修改的控制配方增强经典的FOPID来开发的.
- 控制器收益和分数订单在线优化,使用混合元启发算法 (改进的鹿群优化与灰狼和多节优化混合 - IElk-GM).
- 模拟是在线性和非线性轨迹下进行的,包括干扰和参数不确定性.
主要成果:
- MFOPID控制器实现了0%的超标,显著减少了沉降时间 (例如,部从6.998s降至0.430s),并降低了ITAE (例如,部从23.39降至2.694).
- 稳定状态误差被最小化 (部到0.0015Rad,膝盖在0.011Rad内).
- 控制扭矩保持有限,确保在各种轨迹下安全运行.
结论:
- 拟议的MFOPID控制器与用于LLRER轨迹跟踪的经典FOPID相比,显示出更高的性能.
- 控制器有助于更安全,更顺,更有效的机器人辅助康复.
- 先进的优化技术确保了平衡的勘探和开发,以实现强大的控制.
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