TY - JOUR
T1 - A direct Yaw-moment control logic for an electric 2WD formula SAE using an error-cube proportional derivative controller
AU - Medina Murua, Andoni
AU - Bistue, Guillermo
AU - Rubio, Angel
AU - Gonzalez, Jorge
N1 - Publisher Copyright:
©
PY - 2020/7/26
Y1 - 2020/7/26
N2 - A Direct Yaw-Moment Control (DYC) logic for a rear-wheel-drive electric-powered vehicle is proposed. The vehicle is a Formula SAE (FSAE) type race car, with two electric motors powering each rear wheel. Vehicle baseline balance is neutral at low speeds, for increased maneuverability, and increases understeering at high speeds (due to the aerodynamic configuration) for stability. A controller that can deal with these yaw response variations, modelling uncertainties, and vehicle nonlinear behavior at limit handling is proposed. A two-level control strategy is considered. For the upper level, yaw rate and sideslip angle are considered as feedback control variables and a cubic-error Proportional Derivative (PD) controller is proposed for the feedback control. For the lower level, a traction control algorithm is used, together with the yaw moment requirement, for torque allocation. Performance of the controller was evaluated using the Sine with Dwell maneuver and also a lap time simulation around a racetrack. A physically existing go-kart track is modelled for this purpose. Track and vehicle models are built using IPG CarMaker, and a control algorithm is implemented in MATLAB Simulink. Simulations are performed using IPG Racing Driver, varying the learning rate toward aggressive driving and increasing the combined acceleration target, to achieve the best lap times. Simulations results demonstrate the proposed DYC logic using the PD cubic controller substantially improves the simulated vehicle stability on the Sine with Dwell test and around the racetrack. Furthermore, the implementation of the controllers enables a gain of approximately 2 s over a 37 s lap time on the racetrack and allows a more aggressive driving style. As simulations are performed using a driver model, this gain in stability and speed might apply to either a human-operated or autonomous race car. Moreover, the controller could be used in a passenger vehicle, enhancing its safety and maneuverability.
AB - A Direct Yaw-Moment Control (DYC) logic for a rear-wheel-drive electric-powered vehicle is proposed. The vehicle is a Formula SAE (FSAE) type race car, with two electric motors powering each rear wheel. Vehicle baseline balance is neutral at low speeds, for increased maneuverability, and increases understeering at high speeds (due to the aerodynamic configuration) for stability. A controller that can deal with these yaw response variations, modelling uncertainties, and vehicle nonlinear behavior at limit handling is proposed. A two-level control strategy is considered. For the upper level, yaw rate and sideslip angle are considered as feedback control variables and a cubic-error Proportional Derivative (PD) controller is proposed for the feedback control. For the lower level, a traction control algorithm is used, together with the yaw moment requirement, for torque allocation. Performance of the controller was evaluated using the Sine with Dwell maneuver and also a lap time simulation around a racetrack. A physically existing go-kart track is modelled for this purpose. Track and vehicle models are built using IPG CarMaker, and a control algorithm is implemented in MATLAB Simulink. Simulations are performed using IPG Racing Driver, varying the learning rate toward aggressive driving and increasing the combined acceleration target, to achieve the best lap times. Simulations results demonstrate the proposed DYC logic using the PD cubic controller substantially improves the simulated vehicle stability on the Sine with Dwell test and around the racetrack. Furthermore, the implementation of the controllers enables a gain of approximately 2 s over a 37 s lap time on the racetrack and allows a more aggressive driving style. As simulations are performed using a driver model, this gain in stability and speed might apply to either a human-operated or autonomous race car. Moreover, the controller could be used in a passenger vehicle, enhancing its safety and maneuverability.
KW - Cubic error PID
KW - Direct yaw-moment control
KW - Electric vehicle
KW - Lap time simulation
KW - Limit handling
KW - Nonlinear control
KW - Race car
KW - Sideslip control
KW - Torque vectoring
KW - Yaw rate control
UR - http://www.scopus.com/inward/record.url?scp=85104879567&partnerID=8YFLogxK
U2 - 10.4271/12-03-02-0012
DO - 10.4271/12-03-02-0012
M3 - Artículo
AN - SCOPUS:85104879567
VL - 3
SP - 139
EP - 148
JO - SAE International Journal of Connected and Automated Vehicles
JF - SAE International Journal of Connected and Automated Vehicles
SN - 2574-0741
IS - 2
ER -