基于CompactRIO的内燃兰金循环发动机节气门闭环控制研究
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摘要
采用均质压燃技术的内燃兰金循环发动机具有高热效率以及优良的排放性能,是未来发动机的重点研究方向之一。其工作负荷和缸内燃烧的程度与进气量以及进气中氧气的浓度息息相关,进气流量、进气压力、进气中氧浓度的稳定性对于发动机运行时的边界条件控制非常重要。基于CompactRIO平台,建立了电子节气门的控制模型,利用LabVIEW开发出3种控制算法:插值算法、PID算法和分段PID算法。仿真结果表明,在3种控制算法中,分段PID算法上升时间最短,超调量小,无稳态误差,能使节气门迅速达到目标开度并保持稳定开度,抖动小,对于内燃兰金循环发动机均质压燃过程稳定地进行具有重要意义。
ICRC engine with HCCI has a higher thermal efficiency, better emission compared with the traditional ICE. During the combustion process, ICRC engine uses oxygen instead of air as oxidant, as a result, its load and combustion intensity are closely related to the quantity of the intake oxygen condition.Therefore, the control of the intake air's quantity, pressure and concentration of the oxygen is very important for boundary condition to get stabilized during the operation of the system. This paper adopts CompactRIO platform to build the control model of electronic throttle and develop three algorithms: Interpolation algorithm, PID algorithm and sectioned integral partitioning PID algorithm. The results show that the sectioned PID algorithm has the shortest rise time, the smallest overshoot and little steady-state error. It can control the throttle quickly and stably to reach the target opening angle with low jitter, which is significant for better combustion stability of ICRC engine operated with HCCI.
ICRC engine with HCCI has a higher thermal efficiency, better emission compared with the traditional ICE. During the combustion process, ICRC engine uses oxygen instead of air as oxidant, as a result, its load and combustion intensity are closely related to the quantity of the intake oxygen condition.Therefore, the control of the intake air's quantity, pressure and concentration of the oxygen is very important for boundary condition to get stabilized during the operation of the system. This paper adopts CompactRIO platform to build the control model of electronic throttle and develop three algorithms: Interpolation algorithm, PID algorithm and sectioned integral partitioning PID algorithm. The results show that the sectioned PID algorithm has the shortest rise time, the smallest overshoot and little steady-state error. It can control the throttle quickly and stably to reach the target opening angle with low jitter, which is significant for better combustion stability of ICRC engine operated with HCCI.
引文
1 Anderson R.,Doyle S.,Pprnske K.Demonstration and commercialization of zero-emission power plants[C].FL,USA:29th International Technical Conference on Coal Utilization&Fuel Systems,2004
2 Bilger R.W.,Wu Z.Carbon capture for automobiles using internal combustion Rankine cycle engines[J].Journal of Engineering for Gas Turbines and Power,ASME,2009,131(3):34502-34504
3付乐中,于潇,邓俊,等.内燃兰金循环发动机试验系统开发[J].内燃机工程,2013,34(6):87-92
4 Tauzia X.,Maiboom A.,Shah S.R.Experimental study of inlet manifold water injection on combustion and emissions of an automotive direct injection diesel engine[J].Energy,2010,35(9):3628-3639
5 Wu Z.,Fu L.,Gao Y.,et al.Thermal efficiency boundary analysis of an internal combustion Rankine cycle engine[J].Energy,Elsevier,2016,94:38-49
6 Fu L.,Wu Z.,Yu X.,et al.Experimental investigation of combustion and emission characteristics for internal combustion Rankine cycle engine under different water injection laws[J].Energy Procedia,2015,66:89-92
7赵新顺,曹会智,温茂禄,等.HCCI技术的研究现状与展望[J].内燃机工程,2004,25(4):73-77
8王大兴,张欣,刘建华.均质压燃式(HCCI)燃烧的研究[J].内燃机工程,2002,23(4):77-81
9何芝霞,黄昶,何云东.基于CompactRIO的数据采集系统[J].仪器仪表用户,2009,16(1):37-39
10 Orlowska-Kowalska T.,Kaminski M.FPGA implementation of the multilayer neural network for the speed estimation of the two-mass drive system[J].IEEE Transactions on Industrial Informatics,IEEE,2011,7(3):436-445
11黄晓燕,冯西安,高天德.基于CompactRIO的多通道阵列数据采集系统实现[J].测控技术,2009,28(12):17-19
12郭连.汽车发动机电子节气门控制系统设计研究[D].杭州:浙江大学,2004
13朱二欣.电子节气门控制系统的开发研究[D].长春:吉林大学,2005
14宛传平,李慧.增量式PID控制在电子节气门控制系统中应用研究[J].中国农机化,2010(3):84-86+50
15杨振东.基于模糊PID电子节气门控制系统的研究与开发[D].长沙:湖南大学,2008
16杜开明.汽车电子节气门控制仿真与试验研究[J].重庆:重庆大学,2004
17万钧力,曾曲洋,沈艳军.基于递归反演方法的电子节气门非线性控制[J].电子测量与仪器学报,2014,28(4):395-401
18宋同好.基于Backstepping的电子节气门控制[D].长春:吉林大学,2009
19 Bai R.,Tong S.Adaptive backstepping sliding-mode control of the electronic throttle system in modern automobiles[J].Mathematical Problems in Engineering,2014
20 Bari c'M.,Petrovi c'I.,Peri c'N.Neural network-based sliding mode control of electronic throttle[J].Engineering Applications of Artificial Intelligence,Elsevier,2005,18(8):951-961
21 C.C.de Witt,I.Kolmanovsky,J.Sun.Adaptive pulse control of electronic throttle[C].Proceeding of the 2001 American Control Conference,IEEE,2001,4:2872-2877
22李宏超.发动机电子节气门的控制研究[D].合肥:合肥工业大学,2017
23冯巍,程秀生,祁鹏华,等.基于智能PID控制的电子节气门控制系统研究[J].汽车技术,2009(3):14-17
2 Bilger R.W.,Wu Z.Carbon capture for automobiles using internal combustion Rankine cycle engines[J].Journal of Engineering for Gas Turbines and Power,ASME,2009,131(3):34502-34504
3付乐中,于潇,邓俊,等.内燃兰金循环发动机试验系统开发[J].内燃机工程,2013,34(6):87-92
4 Tauzia X.,Maiboom A.,Shah S.R.Experimental study of inlet manifold water injection on combustion and emissions of an automotive direct injection diesel engine[J].Energy,2010,35(9):3628-3639
5 Wu Z.,Fu L.,Gao Y.,et al.Thermal efficiency boundary analysis of an internal combustion Rankine cycle engine[J].Energy,Elsevier,2016,94:38-49
6 Fu L.,Wu Z.,Yu X.,et al.Experimental investigation of combustion and emission characteristics for internal combustion Rankine cycle engine under different water injection laws[J].Energy Procedia,2015,66:89-92
7赵新顺,曹会智,温茂禄,等.HCCI技术的研究现状与展望[J].内燃机工程,2004,25(4):73-77
8王大兴,张欣,刘建华.均质压燃式(HCCI)燃烧的研究[J].内燃机工程,2002,23(4):77-81
9何芝霞,黄昶,何云东.基于CompactRIO的数据采集系统[J].仪器仪表用户,2009,16(1):37-39
10 Orlowska-Kowalska T.,Kaminski M.FPGA implementation of the multilayer neural network for the speed estimation of the two-mass drive system[J].IEEE Transactions on Industrial Informatics,IEEE,2011,7(3):436-445
11黄晓燕,冯西安,高天德.基于CompactRIO的多通道阵列数据采集系统实现[J].测控技术,2009,28(12):17-19
12郭连.汽车发动机电子节气门控制系统设计研究[D].杭州:浙江大学,2004
13朱二欣.电子节气门控制系统的开发研究[D].长春:吉林大学,2005
14宛传平,李慧.增量式PID控制在电子节气门控制系统中应用研究[J].中国农机化,2010(3):84-86+50
15杨振东.基于模糊PID电子节气门控制系统的研究与开发[D].长沙:湖南大学,2008
16杜开明.汽车电子节气门控制仿真与试验研究[J].重庆:重庆大学,2004
17万钧力,曾曲洋,沈艳军.基于递归反演方法的电子节气门非线性控制[J].电子测量与仪器学报,2014,28(4):395-401
18宋同好.基于Backstepping的电子节气门控制[D].长春:吉林大学,2009
19 Bai R.,Tong S.Adaptive backstepping sliding-mode control of the electronic throttle system in modern automobiles[J].Mathematical Problems in Engineering,2014
20 Bari c'M.,Petrovi c'I.,Peri c'N.Neural network-based sliding mode control of electronic throttle[J].Engineering Applications of Artificial Intelligence,Elsevier,2005,18(8):951-961
21 C.C.de Witt,I.Kolmanovsky,J.Sun.Adaptive pulse control of electronic throttle[C].Proceeding of the 2001 American Control Conference,IEEE,2001,4:2872-2877
22李宏超.发动机电子节气门的控制研究[D].合肥:合肥工业大学,2017
23冯巍,程秀生,祁鹏华,等.基于智能PID控制的电子节气门控制系统研究[J].汽车技术,2009(3):14-17