scholarly journals Idle speed control with low-complexity offset-free explicit model predictive control in presence of system delay

2022 ◽  
Vol 119 ◽  
pp. 104990
Author(s):  
Sang Hwan Son ◽  
Se-Kyu Oh ◽  
Byung Jun Park ◽  
Min Jun Song ◽  
Jong Min Lee
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

Author(s):  
Mike Huang ◽  
Ken Butts ◽  
Ilya Kolmanovsky

This paper describes a gain scheduling strategy that can be used in conjunction with explicit Model “Predictive Control (MPC). Traditionally, explicit MPC is not reconfigurable to online model changes. To handle off-nominal plant conditions, a common practice is to design multiple explicit MPC’s which are each valid locally around their respective operating points. This inevitably requires large amounts of memory to store the explicit MPC’s and implementation of switching logic and observers. The gain scheduling strategy presented in this paper bypasses the need to store multiple explicit MPC’s. This is done by multiplying the control signal obtained from the nominal explicit MPC by a gain scheduling matrix such that the plant at off-nominal operating conditions is approximately matched to the nominal plant. This is further accomplished in a manner such that the original control constraints are satisfied. The gain scheduling strategy is demonstrated in simulations on a nonlinear diesel air path model over the New European Drive Cycle (NEDC).


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