Longitudinal Control for Autonomous Racing with Combustion Engine Vehicles
Phillip Pitschi, Simon Sagmeister, Sven Goblirsch, Markus Lienkamp, Boris Lohmann
TL;DR
The paper addresses the challenge of converting high level trajectory commands into low level throttle, brake and gear commands for autonomous racing with combustion engine vehicles. It introduces a modular longitudinal control framework comprising a gear shift controller, brake warmup, and a high frequency longitudinal controller, with ABS and TC for safety. Validation is performed using real world Abu Dhabi Yas Marina race data and high fidelity simulation, showing close tracking of acceleration targets and safe braking under varying tire road conditions. The work provides an open source implementation and discusses future work to extend safety with an electronic stability program.
Abstract
Usually, a controller for path- or trajectory tracking is employed in autonomous driving. Typically, these controllers generate high-level commands like longitudinal acceleration or force. However, vehicles with combustion engines expect different actuation inputs. This paper proposes a longitudinal control concept that translates high-level trajectory-tracking commands to the required low-level vehicle commands such as throttle, brake pressure and a desired gear. We chose a modular structure to easily integrate different trajectory-tracking control algorithms and vehicles. The proposed control concept enables a close tracking of the high-level control command. An anti-lock braking system, traction control, and brake warmup control also ensure a safe operation during real-world tests. We provide experimental validation of our concept using real world data with longitudinal accelerations reaching up to $25 \, \frac{\mathrm{m}}{\mathrm{s}^2}$. The experiments were conducted using the EAV24 racecar during the first event of the Abu Dhabi Autonomous Racing League on the Yas Marina Formula 1 Circuit.
