Topology design for robustness and performance of vehicle state estimation and control system

Vehicle reliability and safety are critical especially with the growth of Advanced Driver Assistant Systems (ADAS) and automated driving. Vehicle active safety systems have advanced significantly since they were introduced in about 40 years ago. They have played an important role in making vehicles safer and reducing vehicle fatalities.
Current vehicle motion control requires a large-scale estimation system with multiple sub-functions to estimate the vehicle states and parameters that are strongly interacting with each other. The risk in this cascaded structure is if one function fails to perform as expected, the failure may propagate into the system and can cause performance degradation for the whole control system.
In this project, we intend to advance the reliability and performance of vehicle control systems by studying how the topology of estimation and control modules can be designed to optimize the robustness, reliability, and performance of vehicle control systems.

Faculty Supervisor:

Amir Khajepour

Student:

Partner:

General Motors of Canada

Discipline:

Engineering

Sector:

Management of companies and enterprises; Manufacturing

University:

University of Waterloo

Program: