针对电梯群控调度过程中交通不确定的问题,提出一种电梯群控调度的鲁棒离散优化方法.将交通流作为不确定参数,考虑当前时刻和下一时刻交通流状况,将下一时刻交通流预测的不准确性作为不确定因素,建立电梯群控调度的鲁棒离散优化模型.针对该模型的特点,进一步提出了解决方法.仿真结果表明,该方法在电梯群控调度性能和交通模式的适应性方面得到较大改善.
A robust discrete optimization scheduling strategy for elevator group control system is presented to deal with the uncertainty in elevator traffic flow. The elevator traffic flow is regarded as uncertain parameters, and current traffic conditions and the next are taken into account, so the predictive errors of traffic flow are seen as the uncertainties. Then the decision model for elevator group control is constructed. Solving method is proposed for the characterics of the model. Simulation result shows that the method proposed can improve effectively the performance and adaptability of elevator group control system.