TY - GEN
T1 - Preliminary Study on Closed-Loop Acceleration Control of Motorcycles
AU - Winkler, Alexander
AU - Grabmair, Gernot
PY - 2018
Y1 - 2018
N2 - In this study a preliminary investigation regarding closed-loop acceleration control for motorcycles is presented. Comprehensive considerations for the implementation of such a controller are discussed. Challenges, which are addressed, are a stable and sufficiently accurate measurement with the help of low-cost sensors and the consideration of the varying available maximum acceleration for set point calculation. In case of torque control, the maximum available torque is scaled by the throttle and thus automatically meets the limitation. Using acceleration as control variable, the varying set point limitation must be considered. According to current hypothesis, a precise closed loop control of the motorcycle longitudinal dynamics can be realized on the basis of the reference variable acceleration, yielding new possibilities in drive train control. The current control of the longitudinal dynamics is done by specifying a target output torque. However, the actual torque of the ICE is not available as a measured variable and is subject to a degree of uncertainty. In the case of a torque-based longitudinal dynamics control, the actual value can only be determined with great expense and thus a closed-loop control is not possible. Instead of the torque, the longitudinal acceleration can alternatively be used as a basis, since it is easier and less expensive to measure. The closed-loop acceleration control represents a methodology for use in future powertrains. For example, the potential use of hybrid powertrains in motorcycles raise new challenges for powertrain and vehicle control strategies. Compared to conventional drive configurations, at least two drive units contribute to the output torque, resulting in a higher control effort, which can be overcome by using acceleration control.
AB - In this study a preliminary investigation regarding closed-loop acceleration control for motorcycles is presented. Comprehensive considerations for the implementation of such a controller are discussed. Challenges, which are addressed, are a stable and sufficiently accurate measurement with the help of low-cost sensors and the consideration of the varying available maximum acceleration for set point calculation. In case of torque control, the maximum available torque is scaled by the throttle and thus automatically meets the limitation. Using acceleration as control variable, the varying set point limitation must be considered. According to current hypothesis, a precise closed loop control of the motorcycle longitudinal dynamics can be realized on the basis of the reference variable acceleration, yielding new possibilities in drive train control. The current control of the longitudinal dynamics is done by specifying a target output torque. However, the actual torque of the ICE is not available as a measured variable and is subject to a degree of uncertainty. In the case of a torque-based longitudinal dynamics control, the actual value can only be determined with great expense and thus a closed-loop control is not possible. Instead of the torque, the longitudinal acceleration can alternatively be used as a basis, since it is easier and less expensive to measure. The closed-loop acceleration control represents a methodology for use in future powertrains. For example, the potential use of hybrid powertrains in motorcycles raise new challenges for powertrain and vehicle control strategies. Compared to conventional drive configurations, at least two drive units contribute to the output torque, resulting in a higher control effort, which can be overcome by using acceleration control.
UR - http://www.scopus.com/inward/record.url?scp=85060919151&partnerID=8YFLogxK
U2 - 10.4271/2018-32-0050
DO - 10.4271/2018-32-0050
M3 - Conference contribution
T3 - SAE Technical Papers
BT - SAE Technical Paper 2018-32-0050 of 24rd Small Engine Technology Conference
T2 - SAE/JSAE 24th Small Engine Technology Conference
Y2 - 6 November 2018 through 8 November 2018
ER -