【摘要】 传统内模控制系统动态性能的提高往往是以牺牲鲁棒性为代价,为避免这一缺点,本文提出了一种改进的增益预估自适应内模控制算法。该算法基于等加速度模型,根据对象增益的历史变化趋势预估增益的大小,并在线调整对象模型和控制器的参数,从而降低模型与对象的失配程度,起到提高控制系统鲁棒性的作用。将该算法应用于一个大时滞温控系统,取得了良好的控制效果。更多还原

【Abstract】 The dynamic performance of conventional Internal Model Control(IMC) is usually improved at the expense of robustness.To against this disadvantage, an improved gain predictive adaptive IMC algorithm is proposed.This algorithm is based on an unaltered acceleration model and predicts the object’s gain according to its historical variation, then tunes the gains of model and con-troller online.Consequently, the mismatch between model and object is narrowed and the system ’s robustness is enhanced.After applying it in a temperature control system with time delay, excellent control performance is achieved.更多还原