The development of the next generation of integrated chassis controllers for high performance passenger cars.

开发用于高性能乘用车的下一代集成底盘控制器。

• 批准号: 2594818
• 金额: --
• 依托单位: University of Surrey
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2594818
• 关键词: development; next; generation; integrated; chassis

Co-funded by McLaren Automotive and involving an internationally leading supervisory team, this PhD project will focus on the development of the next generation of integrated chassis controllers for high performance passenger cars. The controllers will enhance ride comfort and vehicle dynamics through active suspension control and other actuation systems. The first year of the PhD programme will set the foundations for the project developments. This includes the creation and experimental validation of a model-in-the-loop development environment consisting of a vehicle model, relevant actuation system models, state estimators, a set of benchmarking controllers provided by the industrial sponsor, and relevant post processing tools. Within the first year, appropriate attention will also be paid to the analysis of the literature, and the preparation of the confirmation report (University requirement). The second and third years of the PhD activity will focus on the formulation, implementation and simulation of the novel integrated chassis controllers as well as their experimental assessment on real vehicle prototypes. The chassis controllers will be based on the combination of: a) computationally efficient nonlinear model predictive control technology; b) intelligent control / artificial intelligence for the online update of the controller parameters depending on the current operating conditions of the vehicle; and c) innovative pre-emptive control techniques enabled by vehicle connectivity, using the information on the expected road scenario ahead (e.g., road curvature profile) to enhance control system performance. The potential of the novel controllers will be critically analysed with respect to the available benchmarking controllers. In particular, the effort of the second year will target the formulation and simulation based implementation activities of the nonlinear model predictive controllers including the pre-emptive aspects, while the final year will be dedicated to the artificial intelligence aspects and the experimental assessment of the algorithms. The write-up of the PhD thesis will be carried out in the final 6 months of the project. The research of this PhD project is expected to generate high-quality journal publications (at least three quartile 1 journal publications), and to have long-term academic and industrial impact in the specific subject area.

该博士项目由迈凯伦汽车公司共同资助，并由国际领先的监督团队参与，将重点开发用于高性能乘用车的下一代集成底盘控制器。该控制器将通过主动悬架控制和其他驱动系统增强乘坐舒适性和车辆动力。博士课程的第一年将为项目开发奠定基础。这包括模型在环开发环境的创建和实验验证，该环境由车辆模型、相关驱动系统模型、状态估计器、工业赞助商提供的一组基准控制器以及相关后处理工具组成。第一年内，还将适当关注文献分析和确认报告的准备（大学要求）。博士活动的第二年和第三年将重点关注新型集成底盘控制器的制定、实施和仿真，以及对真实车辆原型的实验评估。底盘控制器将基于以下组合： a) 计算高效的非线性模型预测控制技术； b) 智能控制/人工智能，根据车辆当前运行状况在线更新控制器参数； c) 通过车辆连接实现创新的先发制人控制技术，利用有关前方预期道路情况的信息（例如道路曲率剖面）来增强控制系统性能。将根据可用的基准测试控制器对新型控制器的潜力进行严格分析。特别是，第二年的工作将针对非线性模型预测控制器的制定和基于仿真的实施活动，包括先发制人方面，而最后一年将致力于人工智能方面和算法的实验评估。博士论文的撰写将在项目的最后 6 个月内进行。该博士项目的研究预计将产生高质量的期刊出版物（至少三分位数1期刊出版物），并在特定学科领域产生长期的学术和工业影响。