Get to know your team and responsibilities
Team/division description
The internship will be developed in TME R&D, Chassis group. Chassis engineering division is responsible for the:
- Development of Chassis systems and components (Brake, Steering, Suspension, Tyre, Shift, Pedals, …) for local production, utilising European technologies and suppliers to achieve the highest driving performance and quality standards at competitive cost.
- Vehicle dynamic performance development through simulation and testing of systems and vehicles.
- Investigation and Predevelopment of new European technology for automotive chassis systems and components.
- Research and application of state-of-the-art methodologies for chassis systems and chassis electronic systems’ design and validation, enabling most competitive performance and efficient development processes while securing our quality and safety standards.
We are inspired by the Toyota Way precepts, and we challenge to provide final customers with best quality products with the continuous improvement mindset.
Your project
Integrated Optimal Motion Control and Allocation for Multi-Actuated Vehicles
Objective
The objective of this project is to develop an integrated vehicle motion control framework for a multi-actuated ground vehicle, based on optimal control and control allocation techniques, with explicit consideration of real-time implement-ability.
Scope and Contributions
The work aims to:
- Investigate and critically review the state-of-the-art in vehicle motion control, including optimal control (e.g., MPC, MPPI), control allocation strategies, and integrated chassis control for multi-actuated systems
- Define a coherent control architecture combining to prioritize a high-level optimal controller for vehicle dynamics regulation but also lower-level actuator coordination and allocation layer. Motion control architecture is to be compatible with both trajectory and manual drive inputs interfaces.
- Formulate control strategies that explicitly account for:
- coupled vehicle dynamics (lateral, longitudinal, and roll)
- actuator constraints and redundancy
- stability and adherence limits
- Address real-time feasibility, including:
- model simplification and reduction strategies
- computational complexity analysis
- solver selection and timing considerations
- data driven approaches to control robustness and modelling
- Implement and validate the proposed framework in a high-fidelity simulation environment (potentially both offline and with DiLs), assessing:
- stability and performance improvements
- robustness to varying conditions (e.g., friction, manoeuvres)
- computational performance and real-time suitability
- Validate concept over multiple use cases (comfort, emergency, handling…) with necessary weight-scheduling through automations and pipelines to be developed.
Expected Outcome
The internship is expected to deliver a system-level control framework demonstrating effective coordination of multiple actuators through optimal control and allocation, while ensuring practical feasibility for real-time automotive implementation.
