Real-time control of a two-stage serial VGT Diesel engine using MPC

Dickinson, Paul; Glover, K.; Collings, Nick; Yamashita, Yukio; Yashiro, Yusuke; Hoshi, Toru

doi:10.1016/j.ifacol.2015.10.017

Cited by 13 publications

(8 citation statements)

References 8 publications

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“…The updated main-fuel-injection timing is u M 2 , and it is also substituted into equation (5). Such calculation loop continues to minimize when Du peak n is enough small, the optimized main-fuel-injection timing u M k is obtained and it is sent to actuators through the ECU as the control input.…”

Section: Calculation Procedures In the Controllermentioning

confidence: 99%

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Model-based control of diesel engines with multiple fuel injections

Yamasaki

Ikemura

Kaneko

2017

International Journal of Engine Research

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We developed a feed-forward controller for a conventional diesel combustion engine with triple fuel injection and experimentally evaluated its performance. A combustion model that discretizes an engine cycle into a number of representative points to achieve a light calculation load is embedded into the controller; this model predicts the in-cylinder gas-pressure-peak timing with information about the operating condition obtained from the engine control unit. The controller calculates the optimal main-fuel-injection timing to control the in-cylinder gas-pressure peak using the prediction result as a controller with a single input and output. The controller's performance was evaluated by experiments using a four-cylinder diesel engine under changing the target value of the in-cylinder gas-pressure-peak timing during a target-following test and the performance was also evaluated under changing the exhaust gas recirculation ratio at the constant target value of the in-cylinder gas-pressure-peak timing for the disturbance-response test. It was found that the controller could calculate the optimal main-injection timing over a cycle and maintain the targeted in-cylinder gas-pressure-peak timing even when the target value or exhaust gas recirculation changed. The combustion model was also shown to be fast enough at predicting diesel combustion for onboard control.

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Section: Calculation Procedures In the Controllermentioning

confidence: 99%

“…Dickinson et al 5 applied model predictive control (MPC) with a linearized perturbation-based mean-value model to a two-stage serial VGT for a light-duty diesel engine. MPC is a hot topic in engine control research, but it requires a higher calculation cost, although the engine-control unit (ECU) has a limited calculation speed.…”

Section: Introductionmentioning

confidence: 99%

Model-based control of diesel engines with multiple fuel injections

Yamasaki

Ikemura

Kaneko

2017

International Journal of Engine Research

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“…Using a reduced order physical model of the system, [18] proved that a simple feedback control strategy combined with a switching logic provides global asymptotic stability for the system, while respecting state constraints on the high pressure turbocharger. Comparable approaches can be found in [19] and in [20]. Another approach is presented in [21], where flatness-based control is used based on a model derived in [22].…”

Section: Related Workmentioning

confidence: 99%

“…In the cost function, the deviation between the boost pressure and the reference value is taken into account with the first summand, weighted by the matrix Q. y 1(k+j|k) corresponds to the boost pressure predicted for the time step k + j based on the information available at time step k. The second summand penalizes closing the high pressure wastegate, by the weighting matrix R L . Additionally, a slack variable is introduced, which allows the optimization algorithm to exceed the turbocharger speed limits at a cost scaled with S. This changes the speed limits (20) and (21) to soft constraints, ensuring the feasibility of the optimization problem. The remaining constraints are the dynamic model (18), the upper and lower limits of the actuated values (19) and a hard constraint on the slack variable (23).…”

Section: Control For the Reduction Of Pumping Lossesmentioning

confidence: 99%

Boost Pressure Control Strategy to Account for Transient Behavior and Pumping Losses in a Two-Stage Turbocharged Air Path Concept

et al. 2016

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Increasingly complex air path concepts are investigated to achieve a substantial reduction in fuel consumption while improving the vehicle dynamics. One promising technology is the two-stage turbocharging for gasoline engines, where a high pressure and a low pressure turbocharger are placed in series. For exploiting the high potential, a control concept has to be developed that allows for coordinated management of the two turbocharger stages. In this paper, the control strategy is investigated. Therefore, the effect of the actuated values on transient response and pumping losses is analyzed. Based on these findings, an optimization-based control algorithm is developed that allows taking both requirements into account. The developed new controller allows achieving a fast transient response, while at the same time reducing pumping losses in stationary operation.

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“…Numerous on-board models [8][9][10][11][12] have been proposed, including a few models regarding combustion control [13][14]. In the combustion model for diesel engines with multiple fuel injections developed by Yamasaki et al [14], a single engine cycle was discretized into several calculation points in an effort to reduce computational load.…”

Section: Introductionmentioning

confidence: 99%

Development of On-board Polytropic Index Prediction Model for Injection Timing Optimization of Diesel Engines

Ichiyanagi

Joji

Matsui

et al. 2018

International Journal of Industrial Research and Applied Engineering

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Diesel engines are required to reduce exhaust emissions during real-world operations. In this regard, a new control concept called model-based control has been explored. Unlike the conventional method of relying on steady-state measurements, model-based control allows cycle-bycycle optimization of control inputs based on physical principles. Existing models for combustion control have been using empirical equations to predict polytropic index for the compression stroke for estimation of in-cylinder pressure and temperature at fuel injection. Therefore, in this study, a polytropic index prediction model was developed in MATLAB to maintain the engine performance under transient conditions and to reduce the required number of experiments. The model includes a heat loss model and a gas flow model to consider the effect of wall heat transfer and gas flows inside the cylinder. The computational load of the model was reduced through discretization of a single engine cycle into several calculation points. The model was validated against numerical simulation results under steady conditions first, and then applied to transient conditions for more realistic operational conditions. The model estimated the polytropic index with average errors under steady and transient conditions with 0.22% and 0.37%, respectively. Finally, the calculation time of the model was evaluated to be 50.6 μs. It was concluded the model can be implemented on a model-based controller in the future.

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Real-time control of a two-stage serial VGT Diesel engine using MPC

Cited by 13 publications

References 8 publications

Model-based control of diesel engines with multiple fuel injections

Model-based control of diesel engines with multiple fuel injections

Boost Pressure Control Strategy to Account for Transient Behavior and Pumping Losses in a Two-Stage Turbocharged Air Path Concept

Development of On-board Polytropic Index Prediction Model for Injection Timing Optimization of Diesel Engines

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