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基于改进梯度下降法的移动机器人姿态解算
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国家自然科学基金项目(61662075);自治区重点研发计划项目(2018B02011);自治区自然科学基金(2019D01C021)


Attitude Algorithm of Mobile Robot Based on Improved Gradient Descent Method
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    摘要:

    针对移动机器人运动过程中姿态解算精度较低的问题,提出一种基于三轴陀螺仪、三轴加速度计和三轴磁力计的改进梯度下降算法并应用于移动机器人姿态解算中。改进梯度下降法具有计算量小、解算精度较高的优点,其通过引入动量对梯度下降过程进行加速,提升了原算法的收敛速度。通过引入加速度计信任度,有效降低了加速度计因外界因素造成的剧烈变化而带来的误差。实验结果表明:在加速度计有干扰与未有干扰的情况下,改进算法相较于传统算法的精度分别约提高了3°与0.5°

    Abstract:

    An improved gradient descent algorithm based on threeaxis gyroscope, threeaxis accelerometer and threeaxis magnetometer was proposed to solve the problem of low accuracy of attitude estimation during mobile robots movement. The improved gradient descent method had the advantages of less computation and higher accuracy. It accelerated the gradient descent process by introducing momentum, which improved the convergence speed of the original algorithm.By introducing the accelerometer confidence, the error caused by the drastic change of accelerometer caused by external factors could be effectively reduced.The experimental results show that compared with the traditional algorithm in the case of the accelerometer with or without interference, the accuracy of the improved algorithm is improved by about 3°and 0.5°respectively

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李洪兵,何丽,袁亮,唐鼎新.基于改进梯度下降法的移动机器人姿态解算[J].机床与液压,2020,48(21):1-5.
LI Hongbing, HE Li, YUAN Liang, TANG Dingxin. Attitude Algorithm of Mobile Robot Based on Improved Gradient Descent Method[J]. Machine Tool & Hydraulics,2020,48(21):1-5

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  • 在线发布日期: 2021-02-20
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