Chance-Constrained Optimization for Torque Tracking Control with Improving Fuel Economy in Spark-Ignition Engines
Chance-Constrained Optimization for Torque Tracking Control with Improving Fuel Economy in Spark-Ignition Engines
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DOI：
10.9746/jcmsi.11.365
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发表时间：
2018-07
期刊：
影响因子：
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通讯作者：
Xun Shen;T. Shen
中科院分区：
文献类型：
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作者：
Xun Shen;T. Shen
提出了一种基于机会约束优化的火花点火发动机控制方案，在燃烧阶段机会约束条件下，在保证瞬态转矩跟踪性能的同时提高热效率。首先，基于情景法离线求解一个机会约束优化问题，得到最优平衡运行点。然后，采用线性二次型调节器控制发动机在一定的转矩需求和发动机转速下工作在最优平衡点。在一台商用汽油机上进行了实验验证，结果表明了该方法的有效性。
This paper proposes a control scheme based on chance-constrained optimization for spark-ignition engines to ensure transient torque tracking performance with improving thermal efficiency under chance-constraint for combustion phase. Firstly, the optimal equilibrium operating points are obtained by solving a chance-constrained optimization problem offline based on scenario approach. Then, linear quadratic regulator is applied to control the engine operate at the optimal equilibrium operating points under certain torque demand and engine speed. The proposed method is experimentally validated on a commercial gasoline engine, and the results demonstrate the method’s performance.