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Feasibility Study on Model Predictive Control for an EGR-Air Path System in a Turbocharged SI Engine

机译:涡轮增压SI发动机EGR-AIR路径系统模型预测控制的可行性研究

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The purpose of this study is to develop model predictive control (MPC), which addresses MIMO system optimization control problem under constrains while providing efficient engine calibration process, and to be applied to an intake system control in a turbocharged spark ignition engine. Extended Kalman filter, which was based on an air flow sensor and a pressure sensor, was employed to achieve robustness against actual variations and MPC plant model reduction. The control methodology was demonstrated in MILS through its application to torque and EGR cooperative control using throttle and EGR valves. The results show the control outputs are in good agreement with reference trajectories under various transient operations without large amount of calibration efforts associated with the target valve position.
机译:本研究的目的是开发模型预测控制(MPC),其在提供有效的发动机校准过程的同时,在约束的同时解决MIMO系统优化控制问题,并且应用于涡轮增压火花点火发动机中的进气系统控制。 基于空气流量传感器和压力传感器的扩展卡尔曼滤波器用于实现对实际变化和MPC工厂模型减少的鲁棒性。 通过其应用于使用节流阀和EGR阀的扭矩和EGR协作控制,在密耳中说明了控制方法。 结果表明控制输出与各种瞬态操作下的参考轨迹吻合良好,而无需大量与目标阀位置相关的校准工作。

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