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自适应强跟踪卡尔曼滤波在陀螺稳定平台中的应用

Application of adaptive strong tracking Kalman filter to gyro-stabilized platform

  • 摘要: 考虑陀螺稳定平台速度环控制系统含有陀螺测量噪声,设计了带有系统参数扰动迭代估计的自适应强跟踪卡尔曼滤波器,并与模型参考控制系统相结合,然后将其与现有的PI控制系统进行扰动隔离性能的系统仿真对比实验及其结果分析.实验结果表明,所提出的自适应强跟踪卡尔曼滤波器可以进一步提高扰动控制系统的隔离度性能,尤其在把非线性摩擦力补偿一半的情况作为未建模的不确定因素影响情况,所设计的滤波器不但能够稳定地工作,而且模型参考自适应控制系统和PI控制系统的隔离度性能都有明显的提高.

     

    Abstract: Considering the effect of gyro output noise in a velocity loop control system on a gyro-stabilized platform, the adaptive strong tracking Kalman filter with iterative estimation of system parameter perturbation was designed. Combined with the model reference adaptive control (MRAC) system, the disturbance isolation performance of the system with the Kalman filter designed was studied by means of comparative simulation experiments with PI control system. The results show that the adaptive strong tracking Kalman filter proposed may further improve the isolation performance of the disturbance control system, and that especially in the case of half compensated non-linear friction as unmodeled uncertainty, not only can the designed filter work stably, but the isolation performance of MRAC system and PI control system can also be improved significantly.

     

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