Model predictive control based on linear programming for engine idle speed control

Author(s):  
Shu Li ◽  
Hong Chen ◽  
Miaomiao Ma
Author(s):  
C Manzie ◽  
H C Watson

Idle speed control remains one of the most challenging problems in the automotive control field owing to its multiple-input, multiple-output structure and the step nature of the disturbances applied. In this paper a simulation model is described for a 4.0 l production engine at idle which includes the standard bypass air valve and spark advance dynamics, as well as the e ects of operating point on cycle-by-cycle combustion-generated torque variations. A model predictive control scheme is then developed for the idle bypass valve and spark advance. The idle speed control algorithm is based on rejecting the torque disturbance using model predictive control for the bypass valve duty cycle while minimizing the transient e ects of the disturbance by adjusting the spark advance. Simulation results are presented to demonstrate the effects of different elements of the controller such as levels of spark offset from minimum spark advance for best torque at idle and feedforward load previews. Compensation of the effects of cyclic variation in combustion torque is also implemented in the controller and its benefits are discussed.


2020 ◽  
Vol 41 (3) ◽  
pp. 960-979
Author(s):  
Amir‐Mohammad Shamekhi ◽  
Amir Taghavipour ◽  
Amir H. Shamekhi

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