基于鲁棒优化理论的电梯群控调度策略

论文针对不确定线性优化问题,研究其不确定集的选择,初始不确定鲁棒优化模型的建立,以及基于该模型的鲁棒对等式转化问题.然后将鲁棒优化建模方法应用于电梯群控调度问题,建立其鲁棒优化模型,解决了交通流不确定性的影响,从而使调度结果更为合理.结合电梯群控虚拟仿真环境,设计了电梯群控鲁棒优化调度算法,并进行仿真验证.通过与其他调度算法的比较,证明了鲁棒优化调度算法在不同交通流F均具有优良的性能和适应能力.实验表明,鲁棒优化调度方法可以解决交通流预测误差的影响,很好地改善电梯群控调度性能.

Elevator group scheduling based on robust optimization

For an uncertain linear programming problem,we study the determination of uncertain set,the establishment of the original robust-optimal-model(RO model),and the transformation of its robust counterpart.The RO modeling method is applied to elevator-group scheduling to setup its RO model and eliminate the impact of the traffic uncertainty, making the dispatching results more reasonable and efficient.In the simulation,virtual simulation environment of elevator- group control systems is utilized to program the RO scheduling algorithm.Comparing with other algorithms,it is verified that the RO algorithm has more advantages and suitability under different traffic flow.Simulation result shows that the RO algorithm can reduce the influence from traffic predict errors and greatly improve the performance of elevator group scheduling.