發(fā)布時(shí)間：2018-07-27 13:18

【摘要】：針對(duì)渦輪增壓汽油機(jī)氣路系統(tǒng)中節(jié)氣門與廢氣旁通閥動(dòng)力學(xué)耦合、機(jī)理建模復(fù)雜的問(wèn)題,本文提出基于神經(jīng)網(wǎng)絡(luò)模型的氣路系統(tǒng)預(yù)測(cè)控制方法,實(shí)現(xiàn)了節(jié)氣門與廢氣旁通閥的協(xié)調(diào)控制.首先,針對(duì)渦輪增壓汽油機(jī)氣路系統(tǒng)map與機(jī)理混合描述的特性,利用系統(tǒng)的輸入輸出數(shù)據(jù),采用反向傳播神經(jīng)網(wǎng)絡(luò)(back propagation neural network,BPNN)訓(xùn)練得到一個(gè)非線性氣路模型;其次,基于泰勒展開式對(duì)預(yù)測(cè)模型進(jìn)行線性化,并對(duì)模型的精度進(jìn)行了驗(yàn)證,進(jìn)而利用該模型預(yù)測(cè)系統(tǒng)的未來(lái)動(dòng)態(tài);然后,在考慮系統(tǒng)存在輸入約束的條件下,設(shè)計(jì)了一個(gè)線性模型預(yù)測(cè)控制器對(duì)節(jié)氣門與廢氣旁通閥進(jìn)行協(xié)調(diào)控制,實(shí)現(xiàn)了進(jìn)氣歧管壓力和升壓的跟蹤控制進(jìn)而滿足發(fā)動(dòng)機(jī)的扭矩需求;最后,通過(guò)離線仿真和基于d SPACE的快速原型實(shí)驗(yàn)(rapid control prototyping,RCP)驗(yàn)證了控制系統(tǒng)的有效性和實(shí)時(shí)性.
[Abstract]:Aiming at the problem of dynamic coupling of throttle and exhaust gas bypass valve in turbocharged gasoline engine gas path system and complicated mechanism modeling, a predictive control method of gas path system based on neural network model is presented in this paper. The coordinated control of throttle and exhaust gas bypass valve is realized. Firstly, a nonlinear gas path model is obtained by using the input and output data of a turbocharged gasoline engine based on the hybrid description of map and mechanism. A nonlinear gas path model is obtained by using the backpropagation neural network (back propagation neural network BPNN). The prediction model is linearized based on Taylor expansion, and the accuracy of the model is verified, and then the future dynamics of the system are predicted by using the model. A linear model predictive controller is designed for coordinated control of throttle and exhaust gas bypass valve. The tracking control of intake manifold pressure and boost pressure is realized to meet the torque requirement of engine. The effectiveness and real-time performance of the control system are verified by off-line simulation and (rapid control prototyping experiment based on d SPACE.
【作者單位】： 吉林大學(xué)汽車仿真與控制重點(diǎn)實(shí)驗(yàn)室;吉林大學(xué)通信工程學(xué)院;中國(guó)一汽集團(tuán)公司研究設(shè)計(jì)中心;
【基金】：Supported by National Natural Science Foundation of China(61703177,61520106008) Jilin Provincial Science and Technology Department Project(20170520067JH) Jilin Provincial Education Department Project(JJKH20170801KJ)
【分類號(hào)】：TK411;TP183
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本文編號(hào)：2147964