在负载波动条件下的门控制液压电机旋转速度的精确控制算法
1Nanjing Research Institute of Agricultural Mechanization, Ministry of Agriculture and Rural Affairs, Nanjing, China.
Science progress
|November 11, 2024
概括
一个新的模糊自适应PID控制算法提高了面临负载波动的液压电机的转速控制精度. 这种智能控制增强了系统的稳定性,并在模拟和测试中将平均错误降低了50%以上.
科学领域:
- 控制系统工程 控制系统工程
- 液压系统 水力系统
- 机器人和自动化 机器人和自动化
背景情况:
- 门控制的液压电机需要精确的转速控制,特别是在动态负载条件下.
- 现有的比例积分导数 (PID) 控制器难以应对波动的负载,导致精度和稳定性降低.
- 精确建模液压系统及其与不同地形的相互作用对于有效的控制设计至关重要.
研究的目的:
- 开发和验证一种新的模糊自适应PID控制算法,用于增强门控制液压电机的转速控制.
- 在波动负载条件下提高液压电机转速控制的准确性和稳定性.
- 与传统的PID控制相比,以减少系统错误和响应时间.
主要方法:
- 模型识别被用来确定门控制液压电机的转移功能.
- 使用和叠加方法构建了一个E级路面的动态模型.
- 一个模糊的自适应PID控制器被设计成错误和它的变化率作为输入,和PID参数调整作为输出.
- 在一个轨道式液压底盘上进行了共模拟和实验验证.
主要成果:
- 与共同模拟中的标准PID算法相比,模糊自适应PID算法减少了50%以上的平均误差,并减少了0.04秒的上升时间.
- 实验结果显示,在200 rev/min时,平均误差减少1.68 rev/min,在1000 rev/min时,平均误差减少2.68 rev/min.
- 智能控制算法在控制精度和稳定性方面取得了显著的改进.
结论:
- 拟议的模糊自适应PID控制算法有效地提高了门控制液压电机的转速控制性能.
- 该算法提供了卓越的准确性和稳定性,特别是在具有挑战性的负载波动条件下.
- 这种智能控制策略为先进的液压系统应用提供了一个有前途的解决方案.
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