Flexible predictive power-split control for battery-supercapacitor systems of electric vehicles using IVHS

The utilization of traffic information received from intelligent vehicle highway systems(IVHS) to plan velocity and split output power for multi-source vehicles is currently a research hotspot. However, it is an open issue to plan vehicle velocity and distribute output power between different supply units simultaneously due to the strongly coupling characteristic of the velocity planning and the power distribution. To address this issue, a flexible predictive power-split control strategy based on IVHS is proposed for electric vehicles(EVs) equipped with battery-supercapacitor system(BSS). Unlike hierarchical strategies to plan vehicle velocity and distribute output power separately, a monolayer model predictive control(MPC) method is employed to optimize them online at the same time. Firstly, a flexible velocity planning strategy is designed based on the signal phase and time(SPAT) information received from IVHS and then the Pontryagin’s minimum principle(PMP) is adopted to formulate the optimal control problem of the BSS. Then, the flexible velocity planning strategy and the optimal control problem of BSS are embedded into an MPC framework, which is online solved using the shooting method in a fashion of receding horizon. Simulation results verify that the proposed strategy achieves a superior performance compared with the hierarchical strategy in terms of transportation efficiency, battery capacity loss, energy consumption and computation time.

Optimal Control of Heterogeneous-Susceptible-Exposed-Infectious-Recovered-Susceptible Malware Propagation Model in Heterogeneous Degree-Based Wireless Sensor Networks

Heterogeneous wireless sensor networks(HWSNs)are vulnerable to malware propagation,because of their low configuration and weak defense mechanism.Therefore,an optimality system for HWSNs is developed to suppress malware propagation in this paper.Firstly,a heterogeneous-susceptible-exposed-infectious-recovered-susceptible(HSEIRS)model is proposed to describe the state dynamics of heterogeneous sensor nodes(HSNs)in HWSNs.Secondly,the existence of an optimal control problem with installing antivirus on HSNs to minimize the sum of the cumulative infection probabilities of HWSNs at a low cost based on the HSEIRS model is proved,and then an optimal control strategy for the problem is derived by the optimal control theory.Thirdly,the optimal control strategy based on the HSEIRS model is transformed into corresponding Hamiltonian by the Pontryagin’s minimum principle,and the corresponding optimality system is derived.Finally,the effectiveness of the optimality system is validated by the experimental simulations,and the results show that the infectious HSNs will fall to an extremely low level at a low cost.

插电式混合动力汽车实车优化控制策略研究

针对目前优化控制策略由于寻优时间长,难以应用于实车控制的问题,提出了近似极小值原理优化控制策略,在Matlab/Simulink/Stateflow开发环境下,开发了基于该优化控制策略的实车控制软件。选取一段随机路况进行实车道路试验,结果表明,提出的优化控制策略实时性好,能够应用于实际车辆,且能合理分配发动机和电机扭矩。

基于共轭算法的弹道修正方法

研究一种在空间3-D中求解弹道修正的最优控制问题的方法。根据Pontryagin极小值原理,将弹道修问题被转换成两点边值问题(Two-Point Boundary Value Problem,TPBVP),利用给定的边界条件,可将TPBVP可转换成针对主导向量初始值的参数优化问题,并采用共轭算法求解主导向量初值。采用该控制方法进行了仿真实验以证明其可行性及准确性,仿真实验数据表明:所提出的算法鲁棒性强、精度高,可以满足战术需要。

Time-optimal control of multiple unmanned aerial vehicles with human control input

Purpose–The purpose of this paper is to investigate time-optimal control problems for multiple unmanned aerial vehicle(UAV)systems to achieve predefined flying shape.Design/methodology/approach–Two time-optimal protocols are proposed for the situations with or without human control input,respectively.Then,Pontryagin’s minimum principle approach is applied to deal with the time-optimal control problems for UAV systems,where the cost function,the initial and terminal conditions are given in advance.Moreover,necessary conditions are derived to ensure that the given performance index is optimal.Findings–The effectiveness of the obtained time-optimal control protocols is verified by two contrastive numerical simulation examples.Consequently,the proposed protocolscan successfully achieve the prescribed flying shape.Originality/value–This paper proposes a solution to solve the time-optimal control problems for multiple UAV systems to achieve predefined flying shape.

基于极小值原理的燃料电池客车能量管理策略

针对燃料电池客车动力系统,以氢耗最低为目标函数,以燃料电池输出功率为控制变量,并考虑燃料电池耐久性对控制变量进行约束,基于Pontryagin极小值原理设计能量管理策略。针对Pontryagin极小值原理仅适用于离线计算的缺点进行改进,设计了能适应不同工况的在线能量管理策略,并建立了燃料电池客车整车仿真模型。仿真结果表明:该能量管理策略在不同工况下具有较好的适应性,不同工况下燃料经济性和耐久性均优于传统开关模式能量管理策略。