电梯群控系统的最优调度仿真

Optimal Dispatch Control Simulation of Elevator Group Control System

在电梯群控节能优化问题的研究中,电梯群控调度是一个开放、动态、复杂系统的多目标优化问题。但是目前大多数群控系统都采用了乘客最少候梯时间的原则来派梯,并没有从电梯的能源消耗等综合因素来调度电梯,从而降低了电梯群控系统的调度性能。并且传统的调度方法在全局收敛性上不能得到很好的满足。为此提出一种蚁群算法的电梯群控系统来进行最佳电梯调度,利用乘客的候梯时间、电梯耗能和电梯拥挤度作为算法的变量数据,并且建立多目标评价函数的蚁群优化模型的控制器,通过蚁群算法进行仿真,验证了蚁群算法对电梯群控得到良好效果,并解决了电梯群控制器对电梯调度单一和全局快速收敛性的问题,为提高电梯群控调度性能提供了参考。

Elevator group control is a multi-objective optimization problem in an open,complicated and dynamical system.But most present elevator group control systems（EGCS） make use of the principle of the least waiting time to dispatch the elevators without the energy consumption of the comprehensive factors,which reduces the elevator group control system scheduling performance.And the traditional scheduling method is failed in global convergence to get good content.An elevator group control system proposed based on ant colony algorithm was proposed for optimal dispatching elevator scheduling.This algorithm uses the passengers waiting time,the consuming power and elevator crowd of variable data as the variables.Then the controller of the multi-objective evaluation function was setup with its ACA model,The simulation on MATLAB shows the favorable effect of the Ant Colony Algorithm and the improvement in the performance of elevator group control in the dispatching elevator.