| Revisiting the benchmark problem of starting control of combustion engines |
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| 作者姓名： | Jiangyan ZHANG Zhenhui XU Jinwu GAO |
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| 作者单位： | State Key Laboratory of Automotive Simulation and Control, Changchun Jilin 130025, China; College of Mechanical and Electronic Engineering, Dalian Minzu University, Dalian Liaoning 116600, China |
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| 基金项目： | This work was supported by Foundation of State Key Laboratory of Automotive Simulation and Control (No. 20161101) and the National Natural Science Foundation of China (No. 61703179). |
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| 摘 要： | Starting of combustion engines is a typical transient operating mode that has significant influence to the engine performance. Due to the distinct variations in the pathes of air intake and fuel injection, the model of the engine system contains considerable uncertain parameters. To search effective control schemes that guarantee desired performance, engine starting control is proposed as a benchmark challenge problem. As a challenging result, a model-based control scheme is developed perviously. In this work, the benchmark problem is revisited and a modification for the fuel injection path control of the previous work is proposed by integrating a time sequence regressive based parameter tuning strategy. Validation by the benchmark problem simulator shows that although the new strategy has simple structure, similar control performance is obtained. Especially, the new strategy has potential extensibility with learning based methods to further improve the performance of the benchmark problem on engine starting control.
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| 关 键 词： | Combustion engine starting control transient performance benchmark challenging |
Revisiting the benchmark problem of starting control of combustion engines |
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| Jiangyan ZHANG,Zhenhui XU,Jinwu GAO.Revisiting the benchmark problem of starting control of combustion engines[J].Journal of Control Theory and Applications,2019,17(2):148-155. |
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| Authors: | Jiangyan ZHANG Zhenhui XU and Jinwu GAO |
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| Affiliation: | State Key Laboratory of Automotive Simulation and Control, Changchun Jilin 130025, China; College of Mechanical and Electronic Engineering, Dalian Minzu University, Dalian Liaoning 116600, China,Department of Engineering and Applied Sciences, Sophia University, Tokyo, 102-8554, Japan and State Key Laboratory of Automotive Simulation and Control, Changchun Jilin 130025, China; Department of Control Science and Engineering, Jilin University, Changchun Jilin 130025, China |
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| Abstract: | Starting of combustion engines is a typical transient operating mode that has significant influence to the engine performance. Due to the distinct variations in the pathes of air intake and fuel injection, the model of the engine system contains considerable uncertain parameters. To search effective control schemes that guarantee desired performance, engine starting control is proposed as a benchmark challenge problem. As a challenging result, a model-based control scheme is developed perviously. In this work, the benchmark problem is revisited and a modification for the fuel injection path control of the previous work is proposed by integrating a time sequence regressive based parameter tuning strategy. Validation by the benchmark problem simulator shows that although the new strategy has simple structure, similar control performance is obtained. Especially, the new strategy has potential extensibility with learning based methods to further improve the performance of the benchmark problem on engine starting control. |
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| Keywords: | Combustion engine starting control transient performance benchmark challenging |
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