A Filtering Method of Anti-waves Disturbance Real-time Control Signal
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摘要: 为了克服伺服控制系统中滤波效果与系统相位裕度不能兼顾, 消除高频噪声会损失有用低频信号的问题, 以卡尔曼滤波算法为基础, 提出了一种抗海浪用实时控制信号滤波方法, 该方法运用状态空间法描述系统, 采用2阶自回归模型计算系统参数, 以递推算法实现计算机实时处理, 从而达到大幅降低信号高频噪声, 抑制陀螺漂移, 提取有用信号的目的。仿真结果表明, 该滤波方法简单, 实现方便, 抑制性好, 可有效减小系统的相位损失, 消除了高频干扰, 对提高系统带宽与系统开环增益有很大贡献。Abstract: To solve the problem that filtering effect is incompatible with phase margin in servo control system, while eliminating high-frequency noise will lose useful low-frequency signal, we present a filtering method of anti-waves disturbance real-time control signal based on Kalman filter algorithm. In this method the system is described by state space method, the second-order autoregression model is used to calculate the system parameters, and recursive algorithm is adopted to achieve real-time process of computer, thus the high-frequency noise can be significantly removed, the gyro drift can be suppressed and the useful signal can be extracted. Simulation result shows that this method is simple and convenient in implementation, and has good disturbance suppression performance. Moreover, it effectively reduces the loss of system phase, eliminates the high-frequency interference, and greatly contribute improvement to the system bandwidth and the open loop gain.
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Key words:
- high-frequency noise /
- real-time control /
- disturbance
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[1] 邓自立. 卡尔曼滤波与维纳滤波[M]. 哈尔滨: 哈尔滨工业大学出版社, 2001. [2] 郑大钟. 线性系统理论[M]. 北京: 清华大学出版社, 2002. [3] Anderson B D O, Moore J B. Optimal Filtering[M]. New York: Prentice Hall, Englewood Cliffs, 1979. [4] Kalman R E. A New Approach to Linear Filtering and Prediction Problem[J]. Transactions of the ASME, Journal of Basic Engineering, 1960, 84(5): 35-45.
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