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数字化控制系统常采用预测算法来克服控制器延时对补偿效果的影响。通常对于缓慢变化的负荷,电流预测比较容易,但对于动态冲击负荷,电流预测则十分困难。目前已有算法的预测效果都不令人满意,严重时甚至会导致补偿效果变差。针对以轧钢机为代表的动态冲击负荷,提出了一种基于自适应滤波器的谐波电流预测方法。该方法是用由一系列谐波电流信号叠加组成的多项式来拟合非线性负载电流信号,采用了带遗忘因子的递推最小二乘法来实时估算多项式的系数。仿真及实验结果表明,所提出的预测方法计算量适中,便于数字化实现,对动态冲击负荷具有非常高的预测精度,大大改善了控制器的补偿效果。
Prediction algorithm is often adopted to eliminate the impact of controller delay on the compensation effect in the digitalized control system. For slowly changed loads, the current is usually easy to predict, but for dynamic impact loads, the current prediction is very difficult. Very few existing prediction algorithms are satisfactory, and may even lead to serious deterioration of the compensation effect. In this paper, based on the adaptive filter, a dynamic prediction algorithm of harmonic current is proposed for the dynamic impact load such as rolling mill. A non-linear load current signal is fitted with a polynomial which is superimposed of a series of harmonic current signals, and the coefficients of the polynomial is real-time estimated with the recursive least square algorithm with forgetting factors. Simulation results show that the presented prediction algorithm is easily implemented in the digitalized controller because of its moderate computational complexity, and can accurately predict the dynamic impact load current to greatly improve the controller's compensation effect.
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