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动态矩阵控制(DMC)在建模时会产生截断误差,从而影响系统性能。针对这一问题,本文在传统DMC基础上进行了改进,提出了一种预测模型截断误差自适应校正方法。根据系统阶跃响应偏差情况对预测模型进行动态校正补偿,减小了截断误差对系统性能的影响。与传统的DMC算法相比,改进后的DMC算法能很好的补偿由于模型时域过早截断而引起的误差,可有效减小控制系统的波动。通过大惯性双容水箱的仿真结果表明,自适应DMC算法对大惯性控制系统具有较好的控制效果。
Dynamic Matrix Control (DMC) creates truncation errors when modeling, which can affect system performance. In response to this problem, this paper improves on the traditional DMC, and proposes an adaptive correction method of the truncation error prediction model. According to the deviation of the system step response, the prediction model is dynamically corrected and compensated, which reduces the influence of the truncation error on the system performance. Compared with the traditional DMC algorithm, the improved DMC algorithm can well compensate for the error caused by premature truncation in the time domain of the model, which can effectively reduce the fluctuation of the control system. Simulation results show that adaptive DMC algorithm has good control effect on large inertia control system.