Hardware-in-the-loop simulation of monitoring system for diesel engine based on dSPACE platform
-
摘要: 为了降低柴油机测控系统的开发时间和费用, 采用dSPACE硬件在环仿真平台, 对柴油机测控系统进行了开发。采用BP神经网络改进了柴油机准稳态模型, 使用Matlab/Simulink软件建立了TBD620V12型增压柴油机的改进准稳态模型, 并检验了新增的爆发压力模型和滑油压力模型的精度。在dSPACE处理器中运行该仿真模型, 并通过输入输出接口板及接口电路将测控系统与dSPACE平台连接, 实现了测控系统与柴油机模型的闭环仿真。仿真结果与试验数据对比表明: 相对误差小于3%, 从而可用硬件在环仿真代替实机试验, 缩短了测控系统的开发周期, 并降低了开发成本。Abstract: In order to reduce the development cycle and cost, dSPACE hardware-in-the-loop simulation platform was used in developing the monitoring system of diesel engine.BP neural network was used to improve the quasi-stable model of diesel engine.Matlab/Simulink was used to establish an improved quasi-stable model of TBD620V12 turbocharged diesel engine.The precisions of explosion pressure model and lubricating oil pressure model were inspected.The simulation model was operated in dSPACE operator, and the monitoring system was connected with dSPACE platform through I/O boards and interface circuit.The closed loop simulation of the monitoring system and turbocharged diesel engine model was carried out.The relative errors between simulation results and experimental data were less than 3%, so experimental verification can be substituted by the hardware-in-the-loop simulation, and the development cost and cycle of the monitoring system can be reduced.
-
[1] PARK TJ, HAN C S, LEE S H. Development of the elec-tronic control unit for the rack-actuating steer-by-wire usingthe hardware-in-the-loop si mulation system[J]. Mechatronics, 2005, 15 (8): 899-918. [2] DUJian-wei, WANG Yin-yan, YANG Chuan-lei, et al. Hard-ware-in-the-loop si mulation approach to testing controller ofsequential turbocharging system[C]//IEEE Robotics andAutomation Society. 2007 IEEE International Conference onAutomation and Logistics. Washington DC: IEEE, 2007: 2426-2431. [3] 李彬轩. 柴油机电控单元硬件在环仿真系统的设计及其相关研究[D]. 杭州: 浙江大学, 2001.LI Bin-xuan. Design and research of diesel engine ECUhard-ware-in-the-loop si mulation system[D]. Hangzhou: ZhejiangUniversity, 2001. (in Chinese) [4] PARLAK A, ISLAMOGLU Y, YASAR H, et al. Applicationof artificial neural network to predict specific fuel consumptionand exhaust temperature for a diesel engine[J]. AppliedThermal Engineering, 2006, 26 (8/9): 824-828. [5] 梁锋, 冯静, 肖文雍, 等. BP神经网络在高压共轨式电控柴油机故障诊断中的应用[J]. 内燃机工程, 2004, 25 (2): 46-49. https://www.cnki.com.cn/Article/CJFDTOTAL-NRJG200402013.htmLIANG Feng, FENGJing, XIAO Wen-yong, et al. Applicationof BP neural networkto fault diagnosis of high-pressure commonrail fuel systemof electronic control diesel engines[J]. ChineseInternal Combustion Engine Engineering, 2004, 25 (2): 46-49. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-NRJG200402013.htm [6] SAYI N C, ERTUNC H M, HOSOZ M, et al. Performanceand exhaust emissions of a gasoline engine using artificial neuralnetwork[J]. Applied Thermal Engineering, 2007, 27 (1): 46-54. doi: 10.1016/j.applthermaleng.2006.05.016 [7] TAKEYAMA M, WOJTOWICZ J, BUTELSKI K, et al. Aspects of dSPACEin contemporary design[J]. Automationin Construction, 2003, 12 (6): 689-695. doi: 10.1016/S0926-5805(03)00048-7 [8] 杜剑维. 基于dSPACE的相继增压柴油机硬件在环仿真[D]. 哈尔滨: 哈尔滨工程大学, 2007.DUJian-wei. Hardware-in-the-loop si mulation of sequentialturbocharging diesel engine base on dSPACE platform[D]. Harbin: Harbin Engineering University, 2007. (in Chinese)