Receding horizon online optimization for torque control of gasoline engines

Energy management for an internal combustion engine waste heat recovery system presents a complex problem. There are the coupling issues of energy recovery and energy utilization. In addition, there are the problems arising from the large thermal inertia of the energy network. A Commander-Tracker-Executor energy manager framework is proposed as the management solution. Under this approach the Commander is designed to optimally split the engine's exhaust energy among the different energy devices of the energy network at the lowest fuel cost. A disturbance estimation-based receding horizon controller is designed as a Tracker to follow the Commander's commands in real time. The Commander's decisions are made in real time based on each energy device's efficiency model, the torque demand given by the driver, and the corresponding heat rejection requirement of the whole system. The Tracker works as a trajectory follower to transform the Commander's decisions into the actuators' control objectives. The Executor ensures that the energy management goals are achieved in line with the actuators' control objectives. An energy network constructed of ----- has been taken as an example for the simulation study. The simulation results indicate that:. the manager exhibited fairly good fuel-saving potentiality along a whole driving cycle;. the proposed Commander showed eective exhaust energy splitting performance; and . the Tracker scheme demonstrated good tracking capability and robustness.

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“…A dummy input is needed to use the C/GMRES algorithm. The inequality constraint (23) can be written as the symmetric form as 30 x À…”

Section: Trackermentioning

confidence: 99%

A Commander–Tracker–Executor based energy management framework for an engine waste heat recovery system

Lei

Xie

2016

Proceedings of the Institution of Mechanical Engineers, Part A:

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“…For example, to handle the torque tracking issue of the engine, a model-based nonlinear receding horizon optimal control strategy is proposed to ensure rapid torque tracking control performance under any given transient driving condition. 32 Based on the crankshaft angular speed of a four-cylinder SI engine, an innovative state observer combining Luenberger and sliding mode strategy is designed to track crankshaft angular speed and estimate engine combustion torque based on the experimental crankshaft angular speed of a four-cylinder Spark Ignition (SI) engine. 33 To maximize the engine efficiency and output torque, a closed-loop knock control method is designed to improve performances while remaining simple to use.…”

Section: Introductionmentioning

confidence: 99%

Robust adaptive control for hybrid electric vehicles using sliding mode control

Ding,

Jiao,

Zhang

2023

Proceedings of the Institution of Mechanical Engineers, Part I:

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The complicated transient coupling driving performance of the electromechanical coupling driving system for hybrid electric vehicles can be guaranteed by reasonably distributing the power between the engine and the electric machine. However, the disturbances resulting from system parameter perturbation, model uncertainty, unknown road condition, and uncertain preceding vehicle acceleration would degrade the control performance. To this issue, this article investigates a robust adaptive control scheme based on sliding mode control techniques to handle the complicated transient coupling driving problem for the electromechanical coupling driving process. In the robust adaptive control method, the coordinated control mechanism is designed using the electric machine to compensate for the response deviation of engine torque. Meanwhile, the double-loop adaptive terminal sliding mode speed-tracking control scheme and the adaptive dynamic sliding mode torque tracking control method are designed for the engine and the electric machine, respectively. The proposed control scheme ensures accurate tracking of the desired trajectories of the engine and electric machine in the presence of parameter perturbation and the unknown driving condition. Both simulation and actual vehicle experimental results demonstrate the effectiveness and practicality of the proposed control strategy.

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“…Researches are paid for applying RHC approach in various systems, such as state delayed systems, 12 input delayed systems, 13 switching systems, 14 stochastic systems with control and state multiplicative noise, 15 linear discrete time systems with probabilistic system parameters, 16 and discrete time mean-field-type games. 17 Meanwhile, RHC are considered in some application areas, such as induction motors, 18 harbor-defense, 19 torque control of gasoline engines, 20 and high-speed train. 21 Undoubtedly, RHC approach has been applied to trajectory tracking problems of re-entry vehicles.…”

Section: Introductionmentioning

confidence: 99%

Guidance for hypersonic re‐entry using receding horizon control with finite terminal weighting matrix

Sun

Jin

Zhang

2022

Optim Control Appl Methods

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In this article, nominal-trajectory-based guidance approach for hypersonic reentry vehicles is considered using the Vinh's equations. The nominal trajectory is generated via pseudo-spectral method and then tracked by receding horizon control approach. Specially, several strategies are adopted to simplify the practical application. First, we formulate the receding optimal problem discretely using the approximated discrete linear state error dynamics. Thus, the differential matrix Riccati equation is substituted by a difference matrix Riccati equation.Second, we set the terminal state weighting matrix finite which brings flexibility of adjusting the sample period and prediction horizon. Third, the time-varying state error dynamics is approximated by time invariant system. Lastly, instead of obtaining terminal weighting matrices which satisfy a linear matrix inequality using the LMI toolbox, we set them the same constant matrix. Naturally, numerical simulation is available to verify the validity and efficiency of the proposed approach.

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Receding horizon online optimization for torque control of gasoline engines

Cited by 15 publications

References 35 publications

A Commander–Tracker–Executor based energy management framework for an engine waste heat recovery system

A Commander–Tracker–Executor based energy management framework for an engine waste heat recovery system

Robust adaptive control for hybrid electric vehicles using sliding mode control

Guidance for hypersonic re‐entry using receding horizon control with finite terminal weighting matrix

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