时滞耦合数据丢失系统的滚动时域优化控制研究

This project focuses on the time delay and data drop characteristics arising from automated intelligent driving vehicle and automotive powertrain control, and address the basic scientific issues about modeling and control method. According to the control requirements with respect to stability and fast transient response, this project is first to investigate how to model the coupling relation between the time delay and data drop. Next, we will study moving horizon optimization control methods, this will deal with the problem of time delay and data drop. Innovative results are expected in the following aspects:(1) dynamic prediction for the output in the future; (2) description of the optimization problem. By exploring theoretical results, combined with technological innovation, the proposed theory and methods are expected to be applied in the automated intelligent driving vehicle and automotive powertrain control to handle system constrains, to solve the contradiction founded in the control requirements, and to improve the response rate and the reliability of the electronic control system . The general goal of the project is to promote interdisciplinary research, to explore application-driven control, and to meet the challenges in the field of automotive control, where time delay and data drop are are highly coupled and complex.

面向智能汽车驾驶系统、动力总成控制系统等应用背景，着眼于时滞和数据丢失等系统特征，提炼建模和控制方法层面上的共性基础问题，研究时滞和数据丢失耦合系统的建模新方法。为了满足实际系统的控制需求，提出面向时滞和数据丢失的系统滚动优化控制方法。基于时滞耦合数据丢失的系统模型，在预测系统未来动态、优化问题描述等方面开展创新性研究。结合理论与应用技术创新，将所提出的控制方法应用于智能汽车驾驶系统和动力总成控制系统中，显式考虑系统的性能约束，给出多目标优化问题描述，有望优化解决具体性能需求之间的矛盾，提高系统的响应速度、稳定性及抗干扰能力。本项研究旨在促进控制与车辆工程的学科交叉，拓宽控制应用领域，解决实际应用研究的迫切需求，具有重要的理论意义和实际价值。

时滞和数据丢失广泛存在于网络化控制系统中，它是影响智能车辆控制系统性能的重要特征。针对存在时滞、数据丢失等特征的典型控制系统，考虑系统中相互冲突的性能指标、系统状态的时域硬约束等，本项目旨在研究时滞和数据丢失耦合系统的滚动优化控制方法，建立了包含时滞、数据丢失等特征的系统模型，提出了面向时滞和数据丢失的状态/干扰联合估计方法，数据驱动的滚动优化控制方法、基于前馈-反馈结构的滚动优化控制方法。在网络主动队列管理、发动机空燃比控制、涡轮增压发动机控制等方面取得了一些很好的成果。结合理论与应用技术创新，将预测控制的并行计算方法应用于汽车发动机控制中，可进一步在一汽、东风等产品中得到应用。