The invention discloses an elevator system optimization method based on model predictive control. The elevator system optimization method comprises the steps that a state model and a measurement model of an elevator system are established, and the system state, sampling time and parameters are initialized; modeling the elevator system; according to the actual situation, various states of the elevator system are subjected to multi-aspect constraint. An optimization problem is designed, an optimal control law is obtained, iterative updating is carried out, measurement output under the optimal control law is obtained, and tracking of a reference signal is obtained; aiming at the comfort problem of elevator operation, the invention provides a model predictive control optimization method, and compared with other control methods, the method has the advantages of higher flexibility and wider applicability while ensuring the precision.

    本发明公开了一种基于模型预测控制的电梯系统优化方法,包括:建立电梯系统的状态模型、量测模型,初始化系统状态、采样时间以及参数;对电梯系统进行建模;依据现实情况,对电梯系统各个状态进行多方面的约束。设计优化问题,求得最优控制律,迭代更新,得到最优控制律下的量测输出,得到对参考信号的跟踪;本发明针对电梯运行的舒适性问题,提出一种模型预测控制的优化方法,相比于其他控制方法,该方法在保证精度的同时,灵活性更高,适用性更广。


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    Title :

    Elevator system optimization method based on model predictive control


    Additional title:

    一种基于模型预测控制的电梯系统优化方法


    Contributors:
    CHEN BO (author) / LIU HUAQING (author) / YANG WANGZHUO (author) / XU CHENTENG (author) / LI KE (author) / WANG JIANBIN (author)

    Publication date :

    2024-09-06


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    B66B Aufzüge , ELEVATORS / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung




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