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基于状态估计的轮腿式平台自适应集成柔顺控制

杨海洋,吴佳俊,刘辉*,韩立金,聂士达,项昌乐   

  1. 北京理工大学 机械与车辆学院
  • 收稿日期:2025-04-29 修回日期:2025-08-29
  • 基金资助:
    国家自然科学基金青年基金项目(52002212)

Adaptive Integrated Compliance Control for Wheel-legged Platforms Based on State Estimation

YANG Haiyang, WU Jiajun, LIU Hui*, HAN Lijin, NIE Shida, XIANG Changle   

  1. School of Mechanical Engineering, Beijing Institute of Technology
  • Received:2025-04-29 Revised:2025-08-29

摘要: 轮腿式平台作为一种新型特种车辆,拓宽了轮端自由度,具有复杂地形高速行驶的潜力。然而,二级作动单元垂-纵耦合动力学与不可测状态使其复杂环境下速度跟踪与地形适应柔顺控制面临挑战。为了解决上述问题,提出一种基于状态估计的自适应集成柔顺控制方法。基于平台运动构型建立整机正逆运动学模型,并基于虚拟模型提出垂向减振与纵向柔顺参考动力学模型;通过纵向终端滑模、垂向最优减振控制及卡尔曼滤波设计建立垂-纵集成自适应柔顺框架;参考位姿下实现速度跟踪与地形适应的集成柔顺控制。多工况测试验证了新提出方法的集成柔顺控制优势,如交错减速带工况垂向加速度峰值低于1.1 m/s2。

关键词: 轮腿式平台, 二级作动单元, 集成柔顺控制, 状态估计

Abstract: As a new type of special vehicles, wheel-legged platforms (WLPs) extend the degrees of freedom at the wheel ends, offering high-speed mobility over complex terrain. However, the vertical–longitudinal coupled dynamics of the two-stage actuation unit and the unmeasurable states pose significant challenges for speed tracking and compliance control in terrain adaptation on uneven roads. To address these issues, this paper proposes an adaptive integrated compliance control method based on state estimation. First, forward and inverse kinematic models of the WLP are developed based on its diagram, and reference dynamic models for vertical suspension and longitudinal compliance are constructed using the virtual model approach. Then, an adaptive integrated compliance control framework in vertical–longitudinal directions is established. It incorporates longitudinal terminal sliding mode control, vertical optimal vibration control, and Kalman filtering to finally achieve speed tracking and terrain adaptation under a reference posture. Tests under various conditions validate the effectiveness of the proposed method. For example, the peak vertical acceleration under the bumpy road condition is less than 1.1 m/s2

Key words: wheel-legged platform, two-stage actuation unit, integrated compliance control, state estimation

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