DocumentCode :
40235
Title :
Data-Driven Predictive Gearshift Control for Dual-Clutch Transmissions and FPGA Implementation
Author :
Xiaohui Lu ; Hong Chen ; Bingzhao Gao ; Zhenwei Zhang ; Weiwei Jin
Author_Institution :
Dept. of Control Sci. & Eng., Jilin Univ., Changchun, China
Volume :
62
Issue :
1
fYear :
2015
fDate :
Jan. 2015
Firstpage :
599
Lastpage :
610
Abstract :
During the gearshift management process, the shift time and the shift shock affect the shift quality (smoothness and efficiency) greatly. In this paper, a gearshift controller is designed using a data-driven predictive control technique to improve the shift quality of vehicles with a dual-clutch transmission (DCT). It is directly obtained from the input-output data of a DCT model constructed by the commercial software AMESim. In order to obtain an offset-free control for the reference input, a predictor equation is gained with the incremental input and outputs. The conflicting control requirements of a short shift time and a small shift shock are taken into account in the optimal objective function by smoothly tracking a selected proper reference trajectory and limiting the change rate of the actuator. Moreover, due to physical characteristics, the constraints of the actuator are explicitly considered in the problem formulation. Finally, the effectiveness of the proposed data-driven predictive controller is tested in the AMESim simulation model of a DCT vehicle. Aiming to pursue a real-time improvement of the hardware computing speed for the data-driven predictive controller, a novel scheme for implementing the designed controller based on a field-programmable gate array (FPGA) is proposed. Moreover, a rapid prototyping platform based on an FPGA and dSPACE is introduced for testing and verifying the computational performance of the proposed controller. The experimental results show that the designed gearshift control algorithm for gearshift has better performance in real time, and the control performance can be guaranteed in a real-time environment.
Keywords :
actuators; clutches; control system synthesis; digital simulation; field programmable gate arrays; gears; power transmission (mechanical); predictive control; DCT model; DCT vehicle; FPGA implementation; actuator; actuator constraints; commercial software AMESim simulation model; computational performance testing; computational performance verification; conflicting control requirements; dSPACE; data-driven predictive gearshift controller design; dual-clutch transmissions; field-programmable gate array; gearshift management process; hardware computing speed; incremental input; incremental outputs; input-output data; offset-free control; optimal objective function; physical characteristics; predictor equation; reference input; reference trajectory; shift quality; shift shock; shift time; Discrete cosine transforms; Gears; Mathematical model; Predictive control; Vehicle dynamics; Vehicles; Data-driven predictive control; dual-clutch transmission (DCT); field-programmable gate array (FPGA); gearshift control;
fLanguage :
English
Journal_Title :
Industrial Electronics, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0046
Type :
jour
DOI :
10.1109/TIE.2014.2312312
Filename :
6774885
Link To Document :
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