Model Predictive Control of an RCCI Engine

Raut, Avinash Banduji; Bidarvatan, Mehran; Borhan, Hoseinali; Shahbakhti, Mahdi

doi:10.23919/acc.2018.8431172

Cited by 15 publications

(13 citation statements)

References 9 publications

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“…However, in a case where the gasoline fraction would represent an important part of the load charge, such PFI transport dynamics effect should be included in the controller in order to improve its performance. 38 Furthermore, in transient conditions, the residual gases from the previous cycle can affect the combustion of the next cycle 34 and thus, this effect should be assessed. In this work, the change of the residual gases fraction from one cycle to the other was found to be small enough to be directly corrected by the PI actions.…”

Section: Resultsmentioning

confidence: 99%

“…Reference tracking and disturbance rejection were evaluated by simulation showing the capability of the controller to decouple the interaction between the controlled variables with satisfactory results. Recently, Raut et al 38 investigated a model predictive control (MPC) for tracking the IMEP and the CA50 by adjusting the total fuel quantity and the SOI of the n-heptane fuel, respectively, in an RCCI engine. The MPC was chosen for its capacity to include constraints such as the covariance in the IMEP ( CO V IMEP ).…”

Section: Introductionmentioning

confidence: 99%

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Closed-loop control of a dual-fuel engine working with different combustion modes using in-cylinder pressure feedback

Guardiola

Plá

Bares

et al. 2019

International Journal of Engine Research

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This work presents a closed-loop combustion control concept using in-cylinder pressure as a feedback in a dual-fuel combustion engine. At low load, reactivity controlled compression ignition combustion was used while a diffusive dual-fuel combustion was performed at higher loads. The aim of the presented controller is to maintain the indicated mean effective pressure and the combustion phasing at a target value, and to keep the maximum pressure derivative under a limit to avoid engine damage in all the combustion modes by cyclically adapting the injection settings. Various tests were performed at steady-state conditions showing good abilities to fulfil the expected operating conditions but also to reject disturbances such as intake pressure or exhaust gas recirculation variations. Finally, the proposed control strategy was tested during a load transient resulting in a combustion switching-mode and the results exhibited the closed-loop potential for controlling such combustion concept.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Closed-loop control of a dual-fuel engine working with different combustion modes using in-cylinder pressure feedback

Guardiola

Plá

Bares

et al. 2019

International Journal of Engine Research

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“…A high fidelity physics-based RCCI engine model from [19], [20] is used to evaluate the performance of the proposed PSSC. The model is developed, and has been experimentally validated, to predict start of combustion (SOC), crank angle for 50% fuel burnt (CA50), and indicated mean effective pressure (IMEP).…”

Section: A High Fidelity Physics-based Rcci Modelmentioning

confidence: 99%

“…The model is developed, and has been experimentally validated, to predict start of combustion (SOC), crank angle for 50% fuel burnt (CA50), and indicated mean effective pressure (IMEP). The details of the high fidelity physics-based RCCI dynamic model, specifications of the RCCI engine (4-cylinder 2-liter GM engine), and experimental validation results of the model are available in [19].…”

Section: A High Fidelity Physics-based Rcci Modelmentioning

confidence: 99%

Predictive Second Order Sliding Control of Constrained Linear Systems with Application to Automotive Control Systems

Amini

Shahbakhti

Sun

2018

2018 Annual American Control Conference (ACC)

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This paper presents a new predictive second order sliding controller (PSSC) formulation for setpoint tracking of constrained linear systems. The PSSC scheme is developed by combining the concepts of model predictive control (MPC) and second order discrete sliding mode control. In order to guarantee the feasibility of the PSSC during setpoint changes, a virtual reference variable is added to the PSSC cost function to calculate the closest admissible set point. The states of the system are then driven asymptotically to this admissible setpoint by the control action of the PSSC. The performance of the proposed PSSC is evaluated for an advanced automotive engine case study, where a high fidelity physics-based model of a reactivity controlled compression ignition (RCCI) engine is utilized to serve as the virtual test-bed for the simulations. Considering the hard physical constraints on the RCCI engine states and control inputs, simultaneous tracking of engine load and optimal combustion phasing is a challenging objective to achieve. The simulation results of testing the proposed PSSC on the high fidelity RCCI model show that the developed predictive controller is able to track desired engine load and combustion phasing setpoints, with minimum steady state error, and no overshoot. Moreover, the simulation results confirm the robust tracking performance of the PSSC during transient operations, in the presence of engine cyclic variability.

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“…Robust controllers including LQI and MPC controllers were implemented and experimentally validated by Akshat et al [1,4]. [51,57,58]. This involves the tedious task of tuning the controller for different operating points and cannot be a viable option for controlling over a large range of operating points.…”

Section: Ltc Strategiesmentioning

confidence: 99%

Modeling and Control of Maximum Pressure Rise Rate in RCCI Engines

Basina¹

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Model Predictive Control of an RCCI Engine

Cited by 15 publications

References 9 publications

Closed-loop control of a dual-fuel engine working with different combustion modes using in-cylinder pressure feedback

Closed-loop control of a dual-fuel engine working with different combustion modes using in-cylinder pressure feedback

Predictive Second Order Sliding Control of Constrained Linear Systems with Application to Automotive Control Systems

Modeling and Control of Maximum Pressure Rise Rate in RCCI Engines

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