Engine idle speed control via maximal safe set computation in the crank-angle domain

Balluchi, A.; Benvenuti, Luca; Berardi, Luca; Santis, Elena De; Benedetto, Maria; Girasole, Giovanni; Pola, Giordano

doi:10.1109/isie.2002.1026362

Cited by 8 publications

(4 citation statements)

References 4 publications

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“…Vd N mcyl(P m, N ) = 1 2 0 RT m TJintak e P m, (2) where N is engine speed, Vd is engine cylinders volume, TJintak e is volumetric efficiency, which can be considered as a function of manifold pressure and engine speed. It can be obtained as a MAP through experimental calibration.…”

Section: B Static Cylinder Air Inductionmentioning

confidence: 99%

Idle speed controller design for SI engine based on ADRC

Gong

Liu

et al. 2012

2012 IEEE International Conference on Control Applications

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Ahstract-In this paper, an idle speed controller is de signed in the framework of active disturbance rejection control (ADRC) for spark ignition (SI) engine. The SI engine model based on the mean value model is proposed. As the system can be considered as a cascade system, the developed controller in corporates a nonlinear state error feedback law (NLSEF) which handles the speed tracking and an ADRC controller based on the Extended State Observer (ESO) to deal with the unknown dynamics and disturbance of the engine system.The robustness stability of the controller is analyzed. Simulation results are provided to demonstrate the advantage and effectiveness of the controller.

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Section: B Static Cylinder Air Inductionmentioning

confidence: 99%

Idle speed controller design for SI engine based on ADRC

Gong

Liu

et al. 2012

2012 IEEE International Conference on Control Applications

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“…In general, it is reported that the mean value engine model (MVEM) is sufficient for controller design [25,26]. But for some control algorithms it can be summed up from previous articles that it is hard to guarantee the objectivity when designing a speed controller for the reciprocating engine, because of the existence of these ignored characteristics in engine speed.…”

Section: Introductionmentioning

confidence: 99%

Speed Control for a Marine Diesel Engine Based on the Combined Linear-Nonlinear Active Disturbance Rejection Control

Wang

Zhang

et al. 2018

Mathematical Problems in Engineering

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In this paper, a compound control scheme with linear active disturbance rejection control (LADRC) and nonlinear active disturbance rejection control (NLADRC) is designed to stabilize the speed control system of the marine engine. To deal with the high nonlinearity and the complex disturbance and noise conditions in marine engines, the advantages of both LADRC and NLADRC are employed. As the extended state observer (ESO) is affected severely by the inherent characteristics (cyclic speed fluctuation, cylinder-to-cylinder deviations, etc.) of the reciprocating engines, a cycle-detailed hybrid nonlinear engine model is adopted to analyze the impact of such characteristics. Hence, the controller can be evaluated based on the modified engine model to achieve more reliable performance. Considering the mentioned natural properties in reciprocating engines, the parameters of linear ESO (LESO), nonlinear ESO (NLESO), and the switching strategy between LADRC and NLADRC are designed. Finally, various comparative simulations are carried out to show the effectiveness of the proposed control scheme and the superiority of switching strategy. The simulation results demonstrate that the proposed control scheme has prominent control effects both under the speed tracking mode and the condition with different types and levels of load disturbance. This study also reveals that when ADRC related approaches are employed to the reciprocating engine, the impact of the inherent characteristics of such engine on the ESO should be considered well.

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“…This is an important technical aspect in general, and in particular for our application, where there is no reason why sampling and switching caused by the piston reaching a dead center 2 should be synchronized. Further, it allows the extension of the results obtained in [Balluchi et al, 2002] where the error due to the lack of synchronization was not taken into account.…”

Section: Introductionmentioning

confidence: 99%