Nonlinear MPC for a two-stage turbocharged gasoline engine airpath

Nonlinear MPC for a two-stage turbocharged gasoline engine airpath
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两级涡轮增压汽油发动机气道的非线性 MPC

DOI:
10.1109/cdc.2015.7402335
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发表时间:
2015
期刊:
2015 54th IEEE Conference on Decision and Control (CDC)
影响因子:
--
通讯作者:
M. Diehl
M. Diehl
中科院分区:
--
文献类型:
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作者:
Thivaharan Albin;Dennis Ritter;D. Abel;Norman Liberda;R. Quirynen;M. Diehl

文献摘要

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由于复杂的非线性系统行为,创新的充电概念(例如汽油发动机的两级涡轮增压)对过程控制提出了很高的要求。对于复杂的非线性系统,基于非线性模型的预测控制器 (NMPC) 具有很大的潜力。它们能够处理耦合的多输入系统,同时实现高控制质量并尊重系统的约束。在涡轮增压的情况下,保护组件的考虑可能会导致限制某些系统值的必要性。本文提出了一种适合在 NMPC 实施中使用的两级涡轮增压汽油气路建模方法。控制实现基于使用在线顺序二次规划 (SQP) 类型算法的直接最优控制。为了验证控制性能,进行了仿真。该算法的计算时间由控制原型平台上的实现来确定,以验证实时能力。
Innovative charging concepts such as two-stage turbocharging for gasoline engines, cause high demands on the process control due to the complex, nonlinear system behavior. For complex, nonlinear systems Nonlinear Model-based Predictive Controllers (NMPC) offer a high potential. They are capable of handling coupled multiple-input systems while achieving high control quality and respecting constraints of the system. In the case of turbocharging, considerations to protect components can introduce the necessity to constrain certain system values. This paper presents a two-stage turbocharged gasoline airpath modeling approach which is suited to be used in a NMPC implementation. The control implementation is based on direct optimal control using an online Sequential Quadratic Programming (SQP) type algorithm. For validating the control performance, simulations are conducted. The computation time of the algorithm is determined by implementation on a control prototyping platform for validation of the real-time capability.