基于CPG控制和腰关节主动控制的四足机器人运动控制

Motion Control of Quadruped Robots Based on CPG Control and Lumbar Joint Active Control

  • 摘要: 为提升四足机器人的运动性能与灵活性,在四足动物高速运动时通过腰部扭动增强运动能力的生物特性启发下,本文针对现有机器人普遍缺乏腰关节结构的问题,提出了一种结合中央模式发生器(CPG)控制和腰关节主动控制的新策略。首先,在Matlab/Simulink中建立具有腰关节的四足机器人仿真模型,并对其对角小跑步态的特征进行分析。其次,采用CPG控制策略设计基于Hopf振荡器的控制网络实现四足机器人4条腿的协同控制。然后,进一步提出一种腰关节主动控制策略并与CPG控制策略相结合以优化四足机器人的运动控制效果。仿真结果表明,与仅采用CPG控制相比,结合腰关节主动控制后,四足机器人的平均速度最高可提升39.21%,单位距离功耗比优化率达10.57%,有效验证了所提策略在提升运动性能与能量效益方面的有效性和优越性。

     

    Abstract: To enhance the motion performance and flexibility of quadruped robots, inspired by the biological characteristic of quadruped animals that increase their movement ability by twisting their waists during high-speed movement, this paper addresses the common problem of the lack of lumbar joint structure in existing robots by proposing a new strategy that combines central pattern generator (CPG) control and active lumbar joint control. Firstly, the simulation model of the quadruped robot with a lumbar joint is established in MATLAB/Simulink, and the characteristic of its trot gait is analyzed. Secondly, the CPG control strategy is adopted to design the control network based on the Hopf oscillator to achieve the cooperative control of the four legs of the quadruped robot. Then, a lumbar joint active control strategy is further proposed to combine with the CPG control strategy to optimize the motion control effect of the quadruped robot. The simulation results show that, compared with using only CPG control, when combined with active control of the lumbar joint, the average speed of the quadruped robot can be increased by up to 39.21%, and the optimization rate of unit distance power consumption reaches 10.57%. This effectively verifies the effectiveness and superiority of the proposed strategy in improving motion performance and energy efficiency.

     

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