LOW-SPEED, BACKWARD DRIVING VEHICLE CONTROLLER DESIGN

In one embodiment, a method of generating control effort to control an autonomous driving vehicle (ADV) includes determining a gear position (forward or reverse) in which the ADV is driving and selecting a driving model and a predictive model based upon the gear position. In a forward gear, the driv...

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Main Authors ZHOU, Jinyun, JIANG, Shu, MIAO, Jinghao, XU, Jiaxuan, LUO, Qi, WANG, Jingao, HU, Jiangtao, WANG, Yu, HE, Runxin
Format Patent
LanguageEnglish
Published 13.05.2021
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Abstract In one embodiment, a method of generating control effort to control an autonomous driving vehicle (ADV) includes determining a gear position (forward or reverse) in which the ADV is driving and selecting a driving model and a predictive model based upon the gear position. In a forward gear, the driving model is a dynamic model, such as a "bicycle model," and the predictive model is a look-ahead model. In a reverse gear, the driving model is a hybrid dynamic and kinematic model and the predictive model is a look-back model. A current and predicted lateral error and heading error are determined using the driving model and predictive model, respectively A linear quadratic regulator (LQR) uses the current and predicted lateral error and heading errors, to determine a first control effort, and an augmented control logic determines a second, additional, control effort, to determine a final control effort that is output to a control module of the ADV to drive the ADV.
AbstractList In one embodiment, a method of generating control effort to control an autonomous driving vehicle (ADV) includes determining a gear position (forward or reverse) in which the ADV is driving and selecting a driving model and a predictive model based upon the gear position. In a forward gear, the driving model is a dynamic model, such as a "bicycle model," and the predictive model is a look-ahead model. In a reverse gear, the driving model is a hybrid dynamic and kinematic model and the predictive model is a look-back model. A current and predicted lateral error and heading error are determined using the driving model and predictive model, respectively A linear quadratic regulator (LQR) uses the current and predicted lateral error and heading errors, to determine a first control effort, and an augmented control logic determines a second, additional, control effort, to determine a final control effort that is output to a control module of the ADV to drive the ADV.
Author WANG, Yu
LUO, Qi
JIANG, Shu
HU, Jiangtao
WANG, Jingao
HE, Runxin
XU, Jiaxuan
MIAO, Jinghao
ZHOU, Jinyun
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– fullname: LUO, Qi
– fullname: WANG, Jingao
– fullname: HU, Jiangtao
– fullname: WANG, Yu
– fullname: HE, Runxin
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Snippet In one embodiment, a method of generating control effort to control an autonomous driving vehicle (ADV) includes determining a gear position (forward or...
SourceID epo
SourceType Open Access Repository
SubjectTerms CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE ORDIFFERENT FUNCTION
CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES
CONTROLLING
PERFORMING OPERATIONS
PHYSICS
REGULATING
ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TOTHE CONTROL OF A PARTICULAR SUB-UNIT
SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
TRANSPORTING
VEHICLES IN GENERAL
Title LOW-SPEED, BACKWARD DRIVING VEHICLE CONTROLLER DESIGN
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