Traction Control by Multiple-stage Fuel Injection Cut using Model Predictive Control

Modelling of non-linear dynamics of an air manifold and fuel injection in an internal combustion (IC) engine is investigated in this paper using the Volterra series model. Volterra model-based non-linear model predictive control (NMPC) is then developed to regulate the air–fuel ratio (AFR) at the stoichiometric value. Due to the significant difference between the time constants of the air manifold dynamics and fuel injection dynamics, the traditional Volterra model is unable to achieve a proper compromise between model accuracy and complexity. A novel method is therefore developed in this paper by using different sampling periods, to reduce the input terms significantly while maintaining the accuracy of the model. The developed NMPC system is applied to a widely used IC engine benchmark, the mean value engine model. The performance of the controlled engine under real-time simulation in the environment of dSPACE was evaluated. The simulation results show a significant improvement of the controlled performance compared with a feed-forward plus PI feedback control.

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Model predictive control of a fuel injection system with a radial basis function network observer

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium ◽

10.1109/ijcnn.2000.860798 ◽

2000 ◽

Cited By ~ 3

Author(s):

C. Manzie ◽

W. Palaniswami ◽

H. Watson

Keyword(s):

Model Predictive Control ◽

Radial Basis Function ◽

Predictive Control ◽

Basis Function ◽

Fuel Injection ◽

Radial Basis Function Network ◽

Injection System ◽

Fuel Injection System ◽

Radial Basis ◽

Function Network

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Traction control design using model predictive control with fuel cut method for an internal combustion engine

2017 IEEE Conference on Control Technology and Applications (CCTA) ◽

10.1109/ccta.2017.8062525 ◽

2017 ◽

Author(s):

Tsutomu Tashiro ◽

Takashi Maruyama

Keyword(s):

Model Predictive Control ◽

Internal Combustion Engine ◽

Predictive Control ◽

Combustion Engine ◽

Control Design ◽

Internal Combustion ◽

Traction Control ◽

Cut Method

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Model predictive control of HCCI using variable valve actuation and fuel injection

Control Engineering Practice ◽

10.1016/j.conengprac.2011.12.002 ◽

2012 ◽

Vol 20 (4) ◽

pp. 421-430 ◽

Cited By ~ 42

Author(s):

Nikhil Ravi ◽

Hsien-Hsin Liao ◽

Adam F. Jungkunz ◽

Anders Widd ◽

J. Christian Gerdes

Keyword(s):

Model Predictive Control ◽

Predictive Control ◽

Fuel Injection ◽

Variable Valve Actuation ◽

Variable Valve ◽

Valve Actuation

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Model Predictive Control of a Fuel Injection System with a Radial Basis Function Network Observer

Journal of Dynamic Systems Measurement and Control ◽

10.1115/1.1515328 ◽

2002 ◽

Vol 124 (4) ◽

pp. 648-658 ◽

Cited By ~ 52

Author(s):

Chris Manzie ◽

Marimuthu Palaniswami ◽

Daniel Ralph ◽

Harry Watson ◽

Xiao Yi

Keyword(s):

Model Predictive Control ◽

Radial Basis Function ◽

Predictive Control ◽

Basis Function ◽

Fuel Injection ◽

Radial Basis Function Network ◽

Control Algorithms ◽

Control Scheme ◽

Radial Basis ◽

Function Network

This paper proposes a new Model Predictive Control scheme incorporating a Radial Basis Function Network Observer for the fuel injection problem. Two new contributions are presented here. First a Radial Basis Function Network is used as an observer for the air system. This allows for gradual adaptation of the observer, ensuring the control scheme is capable of maintaining good performance under changing engine conditions brought about by engine wear, variations between individual engines, and other similar factors. The other major contribution is the use of model predictive control algorithms to compensate for the fuel pooling effect on the intake manifold walls. Two model predictive control algorithms are presented which enforce input, and input and state constraints. In this way stability under the constraints is guaranteed. A comparison between the two constrained MPC algorithms is qualitatively presented, and conclusions are drawn about the necessity of constraints for the fuel injection problem. Simulation results are presented that demonstrate the effectiveness of the control scheme, and the proposed control approach is validated on a four-cylinder spark ignition engine.

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