带随机网络时滞补偿的测功机动态负载模拟*

doi:10.19562/j.chinasae.qcgc.2020.05.020

摘要/Abstract

摘要： 本文研究了控制网络传输时滞影响下测功机加载控制算法。首先,针对一款前驱电动汽车,建立车辆与台架动力学动态耦合模型和服从均匀分布的随机网络诱导延时数学模型。其次,为改善测功机网络控制系统负载模拟性能,提出了一种基于预测控制结构的随机网络诱导延时补偿算法;接着通过系统增广将随机系统跟踪控制问题转化为鲁棒镇定问题,并分析系统H_∞性能,通过非线性优化问题得到系统控制增益。最后,进行了防抱死制动控制台架测试的仿真,结果表明:提出的方法可大幅提升测功机负载模拟精度。

关键词: 电动汽车, 测功机, 负载模拟, 网络控制系统, 网络时滞

Abstract: A novel dynamometer loading control algorithm is studied with consideration of the effects of control network transmission time-delay in this paper. Firstly based on a front drive electric vehicle, the dynamic coupling model for vehicle and test bench and the mathematical model for the stochastic network-induced time-delay with uniform distribution are constructed. Then, a compensation algorithm for stochastic network-induced time-delay based on predictive control structure is proposed to improve the load emulation performance of dynamometer network control system. Next, the problem of stochastic system tracking control is transformed into a robust stabilization issue by system augmentation, the H_∞ performance is analyzed and the system control gains are obtained through nonlinear optimization. Finally, a simulation on bench test for anti-lock braking control is conducted with a result showing that the scheme proposed can greatly enhance the load emulation accuracy of dynamometer

Key words: electric vehicles, dynamometer, load emulation, network control system, network time-delay

马瑞海, 王丽芳, 张俊智, 何承坤. 带随机网络时滞补偿的测功机动态负载模拟^*[J]. 汽车工程, 2020, 42(5): 700-708.

Ma Ruihai, Wang Lifang, Zhang Junzhi, He Chengkun. Dynamic Load Emulation of Dynamometer with Compensation for Stochastic Network Time-delay[J]. Automotive Engineering, 2020, 42(5): 700-708.

参考文献

[1] 张俊智,吕辰,李禹橦,等.电驱动乘用车制动能量回收技术发展现状与展望[J].汽车工程,2014,36(8):911-918.
[2] KO J, KO S, SON H, et al. Development of brake system and regenerative braking cooperative control algorithm for automatic-transmission-based hybrid electric vehicles[J]. IEEE Transactions on Vehicular Technology,2015,64(2):431-440.
[3] LV C, ZHANG J, LI Y, et al. Mode-switching-based active control of a powertrain system with non-linear backlash and flexibility for an electric vehicle during regenerative deceleration[J]. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering,2015,229(11):1429-1442.
[4] LV C, ZHANG J, LI Y, et al. Novel control algorithm of braking energy regeneration system for an electric vehicle during safety-critical driving maneuvers[J]. Energy Conversion and Management,2015,106:520-529.
[5] XU G, XU K, ZHENG C, et al. Fully electrified regenerative braking control for deep energy recovery and maintaining safety of electric vehicles[J]. IEEE Transactions on Vehicular Technology,2016,65(3):1186-1198.
[6] ZHANG Z, WANG L, ZHANG J, et al. Study on requirements for load emulation of the vehicle with an electric braking system[J]. IEEE Transactions on Vehicular Technology,2017,66(11):9638-9653.
[7] HE C, ZHANG J, WANG L. Hardware-in-the-loop simulation of a dynamic process by compensation of the transfer system[J]. Applied Mechanics and Materials,2014,620:347-351.
[8] 何承坤,王丽芳,张仲石,等.基于容差控制的电动汽车动力系统动态负载模拟[J].电工电能新技术,2015,34(6):22-26.
[9] TAKEDA M, HOSOYAMADA Y, MOTOI N, et al. Development of the experiment platform for electric vehicles by using motor test bench with the same environment as the actual vehicle[C]. 2014 IEEE 13th International Workshop on Advanced Motion Control (AMC). IEEE,2014:356-361.
[10] 张仲石,王丽芳,张俊智.前驱电动汽车防抱死制动中滑移率控制的动态负载模拟[J].汽车工程,2017,39(3):288-295.
[11] ARELLANO-PADILLA J, ASHER G, SUMNER M. Control of an AC dynamometer for dynamic emulation of mechanical loads with stiff and flexible shafts[J]. IEEE Transactions on Industrial Electronics,2006,53(4):1250-1260.
[12] RODIC M, JEZERNIK K, TRLEP M. Use of dynamic emulation of mechanical loads in the testing of electrical vehicle driveline control algorithms[C]. Power Electronics and Applications,2007 European Conference on. IEEE,2007:1-10.
[13] 何承坤.电动汽车电驱动电制动系统动态负载模拟研究[D].北京:中国科学院大学,2014.
[14] THOMAS E, SAUER P. Engine-simulation control of an induction motor[C]. Electrical Insulation Conference and Electrical Manufacturing & Coil Winding Conference,1999.IEEE,1999:589-594.
[15] GAN C, TODD R, APSLEY J M. Drive system dynamics compensator for a mechanical system emulator[J]. IEEE Transactions on Industrial Electronics,2015,62(1):70-78.
[16] BACK J, LEE K, CHOY I, et al. Emulation of dynamic mechanical load for dynamometer using disturbance observer based robust controller[J]. 11th International Conference on Control, Automation and Systems (ICCAS’11). Gyeonggi-do, Korea:2011:1035-1038.
[17] HE C, ZHANG J, WANG L, et al. Dynamic load emulation of regenerative braking system during electrified vehicle braking states transition[C]. Vehicle Power and Propulsion Conference (VPPC),2013 IEEE. IEEE,2013:1-5.
[18] HE C, ZHANG J, WANG L. Test bench emulation of slip ratio during anti-lock braking of electric vehicle[J]. Applied Mechanics and Materials,2014,709:285-289.
[19] WANG C, GAO Q, HOU Y, et al. Adaptive complementary fuzzy self-recurrent wavelet neural network controller for the electric load simulator system[J]. Advances in Mechanical Engineering,2016,8(3):1-12.
[20] WANG C, HOU Y, LIU R, et al. Control of the electric load simulator using fuzzy multiresolution wavelet neural network with dynamic compensation[J]. Shock and Vibration,2016,2016:1-10.
[21] 林辉,戴志勇,陈晓雷,等.电动负载模拟器反演终端滑模控制[J].北京理工大学学报,2016,36(12):1259-1263.
[22] LING Q, LI J, DENG H. Robust speed tracking of networked PMSM servo systems with uncertain feedback delay and load torque disturbance[J]. Journal of Applied Mathematics,2012,2012(55):745-776.
[23] ZHU X, ZHANG H, CAO D, et al. Robust control of integrated motor-transmission powertrain system over controller area network for automotive applications[J]. Mechanical Systems and Signal Processing,2015,58:15-28.
[24] GAN C, TODD R, APSLEY J. Mitigating time delays: an evaluation of their impact using a simulation model of an aircraft power system demonstrator facility[J]. IEEE Industry Applications Magazine,2015,21(2):44-53.
[25] PACEJKA H, BAKKER E. The magic formula tyre model[J]. Vehicle System Dynamics,1992,21(S1):1-18.
[26] GAO H, CHEN T, LAM J. A new delay system approach to network-based control[J]. Automatica,2008,44(1):39-52.
[27] ZHANG H, SHI Y, WANG J. Observer-based tracking controller design for networked predictive control systems with uncertain Markov delays[J]. International Journal of Control,2013,86(10):1824-1836.
[28] CARUNTU C, LAZAR M, GIELEN R, et al. Lyapunov based predictive control of vehicle drivetrains over CAN[J]. Control Engineering Practice,2013,21(12):1884-1898.
[29] ZHANG J, LI Y, LV C, et al. Time-varying delays compensation algorithm for powertrain active damping of an electrified vehicle equipped with an axle motor during regenerative braking[J]. Mechanical Systems and Signal Processing,2017,87:45-63.
[30] SHI Y, HUANG J, YU B. Robust tracking control of networked control systems: application to a networked DC motor[J]. IEEE Transactions on Industrial Electronics,2012,60(12):5864-5874.
[31] ZHANG H, WANG J. Combined feedback-feedforward tracking control for networked control systems with probabilistic delays[J]. Journal of the Franklin Institute,2014,351(6):3477-3489.
[32] ZHANG Z, MA R, WANG L, et al. Novel PMSM control for anti-lock braking considering transmission properties of the electric vehicle[J]. IEEE Transactions on Vehicular Technology,2018,67(11):10378-10386.
[33] KIM S, LEE J, LEE K. Offset-free robust adaptive back-stepping speed control for uncertain permanent magnet synchronous motor[J]. IEEE Transactions on Power Electronics,2016,31(10):7065-7076.

带随机网络时滞补偿的测功机动态负载模拟^*

Dynamic Load Emulation of Dynamometer with Compensation for Stochastic Network Time-delay

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