使用移动地平线估计的增量编码器装备的通用N-Trailer车辆的绝对连接角度估计
Nestor Deniz1, Franco Jorquera1, Fernando Auat Cheein1
1Electronics Engineer Department, Universidad Tecnica Federico Santa Maria, Valparaiso, 2390123, Chile.
ISA transactions
|September 20, 2023
概括
本研究引入了一种非线性移动地平线估计器 (NMHE),用于对通用N-Trailer (GNT) 车辆的精确状态估计. 该方法通过准确跟踪车辆动态来提高收获和运输任务的运营效率.
科学领域:
- 机器人和控制系统 机器人和控制系统
- 农业工程 农业工程
- 车辆动力学 车辆动力学
背景情况:
- 通用N-Trailer (GNT) 车辆优化了与可扩展有效载荷的收获和运输等现场操作.
- 准确估计每个部分的位置和态度对于GNT车辆控制器的性能至关重要.
- 关节上的增量编码器提供测量,但噪声和偏差需要先进的估计技术.
研究的目的:
- 提出和验证非线性移动地平线估计器 (NMHE) 用于在配备增量编码器的GNT车辆中估计状态.
- 开发一种使用NMHE的虚拟校准程序,从噪声传感器数据中估计初始关节角度和系统状态.
- 为了减少计算负载的第二个,简化了NMHE,同时保持了准确的状态估计.
主要方法:
- 开发了一种两阶段的非线性移动地平线估计器 (NMHE) 方法.
- 第一个NMHE执行虚拟校准,根据杂的拖拉机姿势和直线运动中的联合编码器数据估计初始关节角度和系统状态.
- 第二个,计算上更轻的NMHE利用校准的连接角度,将增量编码器数据视为绝对值,用于实时状态估计.
主要成果:
- 拟议的NMHE方法证明了对GNT车辆的有效状态估计.
- 虚拟校准程序成功估计了最初的关节角度和系统状态.
- 与单阶段估计器相比,双阶段NMHE方法显著降低了计算负担.
- 模拟和实时实验验证实了NMHE对扩展卡尔曼波器 (EKF) 的有效性.
结论:
- 该NMHE提供了一个强大的和高效的解决方案,用于GNT车辆的状态估计与增量编码器.
- 拟议的虚拟校准和两阶段估计策略提高了现场应用中的控制精度和操作效率.
- 这种方法为复杂的关节车辆使用的EKF等传统估计技术提供了可行的替代方案.
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