大时滞过程的增益自适应内模控制算法的研究与实现

Study and implementation of a gain adaptive internal model control arithmetic for large time delay process

针对大时滞、慢时变对象稳态增益改变对系统性能的影响,提出一种具有三级低通滤波的增益自适应内模控制算法。通过自适应辨识机构识别和计算被控对象稳态增益,自动整定控制器和对象模型增益,使大时滞系统在增益变化较大且模型参数失配的情况下,仍具有良好的跟踪性和鲁棒性。仿真结果表明:增益自适应算法投入后,能有效地克服大增益变化对系统控制性能的影响,明显改善系统的控制品质,证明了该控制算法的有效性和可行性。

A gain adaptive internal model control arithmetic based on third crass lowpass rater is proposed aiming at the change of the system performance when the gain of the plant is changed. The gain of the plant is identified and computed then the gain of controller based on internal model and interna model of the plant is tuned automatically via self-adaptive identification, so that it is still good at controlling performance and robustness in the case of the gain of the plant changing more comparing with normal condition and the model parameters dismatching. The simulation results show that as gain self-adaptation arithmetic is put into operation, the proposed control method can overcome the effect of gain variation and improve the control performance. Also, it is proved that the proposed method is effectual and feasible.