Research On Cooperative Control Strategy For Joint Optimization Of Energy Efficiency And Comfort Of Multiple High-speed Trains

High-speed train has become the preferred means of transportation for short and medium trips with its advantages of safety,fast,green,and economic.With the growth of train transportation demand,higher requirement is put forward for railway capacity.The cooperative control of multiple high-speed trains is an effective method to shorten the safe tracking interval and improve the railway capacity.However,in the existing studies,the tracking interval can not be flexibly adjusted,and energy efficiency and riding comfort are difficult to balance.In this paper,a cooperative control strategy for joint optimization of energy efficiency and comfort is proposed to ensure safe and efficient operation.The main work of this paper includes the following aspects:Firstly,a novel cooperative control based on tunable artificial potential function is designed to adjust the tracking interval flexibly.Based on the running state of the train itself and its neighboring trains,the consensus algorithm is introduced to realize speed tracking.A fixed time interval model is used to design the desired distance so that the actual distance between trains can be dynamically adjusted with the train speed.A tunable potential function is constructed according to the deviation between the actual distance and the desired distance,and its parameters can be adjusted by the tolerance of the distance deviation.The steady-state distance between trains will distribute within a controllable range.The flexible adjustment of tracking interval is realized and the elasticity of railway operation is enhanced.Secondly,a cooperative optimization strategy based on nondominated sorting genetic algorithm Ⅱ is proposed to balance the energy efficiency and riding comfort.Aiming at speed consistency,distance safety,energy efficiency and riding comfort,considering safety constraints and control input constraints,a multi-objective optimization problem is constructed.The nondominated sorting genetic algorithm Ⅱ is adopted to optimize the gain of cooperative control.The optimal control gain coefficient is determined by trade-offs between multiple objectives.The joint optimization of energy efficiency and riding comfort is realized on the premise of ensuring the safe and stable train operation.Finally,a cooperative control simulation platform for multiple highspeed trains is built to verify the effectiveness of the proposed control strategy.The simulation results illustrate that the proposed method can flexibly adjust the train tracking interval.The overall energy consumption of the multiple trains is effectively reduced and the riding comfort is improved in the whole running process.