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大型模锻成形过程是一个复杂的非线性时变过程,包括锻件流变成形过程与液压系统驱动过程,以及还存在油液泄漏等众多不确定性因素,导致精准锻造过程控制异常困难。为此,在结合基于机理模型控制与数据控制优点的基础上,提出了基于物理模型结合在线顺序极限学习机的智能控制方法。该方法首先使用已知的系统信息推导出名义控制律;其次,针对模型不确定性部分,使用在线顺序极限学习机设计出该在线模型的补偿控制律;最后,建立了基于机理模型与数据模型的集成控制器,获得了最佳控制律。仿真结果表明,新方法能有效地控制复杂的锻造过程,且比现有的方法有更好的控制精度。
Large-scale die forging process is a complex nonlinear time-varying process, including forging rheological forming process and the hydraulic system driving process, as well as the existence of many oil leakage and other uncertainties, leading to abnormal precision forging process control difficult. Therefore, based on the advantages of mechanism-based model control and data control, an intelligent control method based on physical model combined with online order limit learning machine is proposed. The method firstly uses the known system information to derive the nominal control law. Secondly, aiming at the uncertain part of the model, the on-line limit learning machine is used to design the compensation control law of the online model. Finally, a model based on mechanism model and data model The integrated controller, get the best control law. The simulation results show that the new method can effectively control the complicated forging process and has better control accuracy than the existing methods.