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GPIO Based Sliding Mode Control for Diesel Engine High Pressure Common Rail System

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Abstract

With the rapid development of diesel engines, reducing the pressure fluctuation of the common rail has become a key factor to improve the performance of the high pressure common rail (HPCR) system. Among traditional rail pressure control approaches, the influence of time-varying disturbances on the HPCR system is not fully considered and is not well dealt with. To this end, a nonlinear model of the HPCR system is firstly established based on fluid dynamics and mechanics laws. And a composite controller based on the nonlinear model is proposed. It consists of two parts: 1) A sliding mode feedback part; 2) A disturbance feedforward compensation part based on a generalized proportional integral observer. Finally, a group of test is simulated in the AMESim simulation environment and the results are shown to demonstrate the effectiveness of the proposed method.

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Abbreviations

p p :

pressure of the HPP, bar

p r :

pressure of the CR, bar

K f(p p):

bulk modulus of elasticity of the HPP

q u :

inlet flow of the HPP, L/min

q pr :

supply flow to the CR, L/min

q 0 :

fuel leakage, L/min

q ri :

fuel injection rate into injectors, L/min

V p(θ):

volume of the HPP, m3

\(V_p^0\) :

maximum volume of the HPP, m3

A p :

cross-sectional area of the cavity of the HPP, m2

h p(θ):

lift of the piston, m

θ :

camshaft angle, °

ω cam :

camshaft angular velocity, rpm

c pr :

outlet flow coefficient of the HPP

A pr :

outlet cross-sectional area of the HPP, m2

V r :

volume of the CR, m3

K f(p r):

bulk modulus of elasticity of the CR

HPCR:

high pressure common rail

HPP:

high pressure pump

CR:

common rail

ECU:

electronic control unit

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Acknowledgement

This paper was supported by the National Natural Science Foundation of China under Grants 62025302 and 61973081.

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Correspondence to Shihua Li.

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Yuan, Z., Dai, C., Sun, H. et al. GPIO Based Sliding Mode Control for Diesel Engine High Pressure Common Rail System. Int.J Automot. Technol. 24, 147–158 (2023). https://doi.org/10.1007/s12239-023-0013-x

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  • DOI: https://doi.org/10.1007/s12239-023-0013-x

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