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两轮自平衡车控制系统的研究
引用本文:詹友基,应廉泽,戴福全.两轮自平衡车控制系统的研究[J].福建工程学院学报,2018,0(6):511-515.
作者姓名:詹友基  应廉泽  戴福全
作者单位:福建工程学院机械与汽车工程学院
摘    要:分析了两轮自平衡车的总体原理及数学模型,针对单个传感器在两轮平衡车姿态检测中存在的干扰和漂移误差问题,采用互补滤波算法对加速度计和陀螺仪输出的数据进行融合演算,对噪声干扰进行了良好的抑制,提高了输出姿态角的准确性。针对两轮平衡车自平衡控制问题,采用比例、积分、微分控制器,使平衡车的平衡系统得到良好的直立平衡控制。仿真数据和实验结果表明,该方法解决了单个传感器对姿态角测量误差大的问题,达到要求的控制性能。

关 键 词:两轮平衡车  互补滤波  PID  数学建模  MATLAB

Research on the control system of two-wheel self-balancing vehicles
ZHAN Youji,YING Lianze,DAI Fuquan.Research on the control system of two-wheel self-balancing vehicles[J].Journal of Fujian University of Technology,2018,0(6):511-515.
Authors:ZHAN Youji  YING Lianze  DAI Fuquan
Affiliation:Manufacturing Technology Sub-center of Advanced Manufacturing Productivity Promotion Center of Fujian Province
Abstract:The general principle and mathematical model of the two-wheel self-balancing vehicle were analyzed. Aiming at the problem of interference and drift error of single sensors in the posture detection of two-wheel balanced vehicles, the complementary filter algorithm was used to carry out fusion calculation of the data output by the accelerometer and the gyroscope, and the noise interference was suppressed well and the accuracy of the output posture angle was improved. As to the self-balancing control of the two-wheel balancing vehicle, proportional, integral and differential controllers were adopted to achieve a good vertical balance control of the vehicle’s balancing system. Simulation data and experimental results show that this method solves the problem that single sensors have great errors in posture angle measurement, and achieves the required control performance.
Keywords:two-wheel self-balancing vehicle  complementary filter  PID  mathematical modeling  MATLAB
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