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Adaptive idling control scheme and its experimental validation for gasoline engines

内燃机自适应怠速控制方案及实验验证

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Abstract

In this paper, the idle speed control problem is investigated for spark-ignition (SI) engines. To scope with physical model parameter-free control scheme, a nonlinear adaptive control law is proposed for the speed regulation loop. The stability analysis result shows that the idle speed converges to the set value and the estimated parameter converges to an equivalent static value of the intake manifold. Furthermore, the proposed fuel injection control law consists of a feedforward and a simple feedback loop. Finally, the proposed control scheme is validated based on a full-scaled six-cylinder gasoline engine test bench.

创新点

本文研究火花点火式发动机的怠速控制问题。对发动机速度调节问题, 提出了不依赖任何物理模型参数的控制方案。稳定性分析结果证明了速度收敛于设定值, 并且参数估计收敛于进气歧管的等价状态值。

同时, 文中还提出了由前馈及简单反馈回路构成的燃油喷射控制率。最终, 通过在一个由六缸发动机构建的实时控制实验台架上实施的实验验证了所提出方案的有效性。

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References

  1. Kamaruddin T, Darus I. PID controller for idle speed control. In: Proceedings of 2013 UKsim 15th International Conference on Computer Modeling and Simulation, Cambridge, 2013. 247–253

    Chapter  Google Scholar 

  2. Thornhill M, Thompson S, Sindano H. A comparison of idle speed control schemes. Control Eng Pract, 2000, 8: 519–530

    Article  Google Scholar 

  3. Yildiz Y, Annaswamy A M, Yanakiev D, et al. Spark-ignition-engine idle speed control: an adaptive control approach. IEEE Trans Control Syst Technol, 2011, 19: 990–1002

    Article  Google Scholar 

  4. Cairano S D, Yanakiev D, Bemporad A, et al. Model predictive idle speed control: design, analysis, and experimental evaluation. IEEE Trans Control Syst Technol, 2012, 20: 84–97

    Google Scholar 

  5. Manzie C, Watson H. A novel approach to disturbance rejection in idle speed control towards reduced idle speed fuel consumption. Proc Inst Mech Eng Part D J Automobile Eng, 2014, 217: 677–690

    Article  Google Scholar 

  6. Czarnigowski J. A neural network model-based observer for idle speed control of ignition in SI engine. Eng Appl Artificaial Intel, 2010, 23: 1–7

    Article  Google Scholar 

  7. Stotsky A, Egardt B, Eriksson S. Variable structure control of engine idle speed with estimation of unmeasurable disturbances. J Dyn Syst Meas Control, 2000, 122: 599–603

    Article  Google Scholar 

  8. Shen T, Zhang J, Jiao X, et al. Transient Control of Gasoline Engines. Boca Raton: CRC Press, 2015

    Book  Google Scholar 

  9. Guzzella L, Onder C H. Introduction to Modeling and Control of Internal Combustion Engine Systems. New York: Springer-Verlag, 2004

    Book  Google Scholar 

  10. Cho D, Hedrick J K. Automotive powertrain modeling for control. J Dyn Syst Meas Control, 1989, 111: 568–576

    Article  Google Scholar 

  11. Wong P K, Wong H C, Vong C M, et al. Online wavelet least-squares support vector machine fuzzy predictive control for engine lambda regulation. Int J Engine Res, in press. doi: 10.1177/1468087415623909

  12. Fan J, Wu Y, Ohata A, et al. Conservation law-based air mass flow calculation in engine intake systems. Sci China Inf Sci, 2016, 59: 112210

    Article  Google Scholar 

  13. Desantes J M, Galindo J, Guardiola C, et al. Air mass flow estimation in turbocharged diesel engines from in-cylinder pressure measurement. Exp Therm Fluid Sci, 2010, 34: 37–47

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant No. 61304128).

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Correspondence to Jiangyan Zhang.

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Zhang, J., Gao, J. & Shen, T. Adaptive idling control scheme and its experimental validation for gasoline engines. Sci. China Inf. Sci. 60, 022203 (2017). https://doi.org/10.1007/s11432-016-0296-3

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  • DOI: https://doi.org/10.1007/s11432-016-0296-3

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