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Master_thesis_Teng_Ma.pdf (8.31 MB)
ETD Abstract Container
Abstract Header
Model-Based Control Design and Experimental Validation of an Automated Manual Transmission
Author Info
Ma, Teng
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=osu1374198354
Abstract Details
Year and Degree
2013, Master of Science, Ohio State University, Mechanical Engineering.
Abstract
With the increasingly rigorous government regulations for fuel economy and exhaust emissions, automotive manufacturers are dedicated to developing vehicles which could have higher fuel economies, lower emissions and at the same time maintain drivability and customer acceptability. Under these demands, automotive manufactures have been developing advanced vehicle powertrains such as hybrid electric vehicle (HEV) and plug-in hybrid electric vehicles (PHEV). This thesis describes the methodology to model and control the linear actuation system of a `clutchless’ automated manual transmission (AMT) in a plug-in hybrid electric vehicle, which could improve the drivability and customer acceptability of PHEVs. The ECOCAR 2 architecture adopts the belt coupling between engine and front electric motor, which utilizes the front electric motor to achieve speed matching between the engine and the transmission; so that the AMT in PHEV could realize `clutchless’ shifting. The AMT used in this thesis is a modified version of conventional manual transmission which utilizes two linear actuators to move the transmission shifting lever through two cables; therefore, new control method needs to be developed for this system. In order to obtain accurate, fast and robust gear shifting during AMT operation, the control system was developed using model-based control theory; with adaptive control algorithm, as well as fault diagnosis. This thesis presents the development of modeling procedure of AMT actuation system and an adaptive control algorithm of AMT gear shifting which could improve the gear shifting speed and fault mitigation. Using system equivalent modeling methodology and test data extraction, the equivalent model for AMT actuation system was developed. Based on the model, the linear actuator position controller was designed to meet the design specifications. In order to prevent and mitigate the transmission shifting fault, an adaptive controller was developed and tested; which could automatically retrieve the neutral position, renew the position values for all gears, provide shifting stage feedback to the supervisory controller and guarantee the completion of shifting. Coupling the above functions with system DFMEA, the AMT could realize stable and reliable gear shifting with reduced sensitivity towards the installation errors. The model, controller and algorithm were verified in the Hardware-in-the-loop devices and transmission test platform. The research described in this thesis shows the reliability and stability of using a model-based method to control AMT gear shifting, and indicates the importance of the adaptive gear shifting algorithm for AMT system.
Committee
Shawn Midlam-Mohler (Advisor)
Marcello Canova (Committee Member)
Pages
173 p.
Subject Headings
Mechanical Engineering
Keywords
Modeling
;
AMT Control design
;
Experimental Validation
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Citations
Ma, T. (2013).
Model-Based Control Design and Experimental Validation of an Automated Manual Transmission
[Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1374198354
APA Style (7th edition)
Ma, Teng.
Model-Based Control Design and Experimental Validation of an Automated Manual Transmission.
2013. Ohio State University, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=osu1374198354.
MLA Style (8th edition)
Ma, Teng. "Model-Based Control Design and Experimental Validation of an Automated Manual Transmission." Master's thesis, Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1374198354
Chicago Manual of Style (17th edition)
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Document number:
osu1374198354
Download Count:
5,219
Copyright Info
© 2013, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.