Nonlinear Estimation and Control of Automotive Drivetrains
Chen, Hong, Gao, Bingzhao
Jointly published with Science Press Beijing, Beijing, China
2014, XII, 250 p. 112 illus.
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Focusing on nonlinear control of automotive drivetrain
Nonlinear methods suitable for automotive drivetrain control are sorted out from a large basis of control theory
Presents a variety of original applications
Large amount of parameter values and simulation results of the powertrains of passenger cars and commercial trucks
Nonlinear Estimation and Control of Automotive Drivetrains discusses the control problems involved in automotive drivetrains, particularly in hydraulic Automatic Transmission (AT), Dual Clutch Transmission (DCT) and Automated Manual Transmission (AMT). Challenging estimation and control problems, such as driveline torque estimation and gear shift control, are addressed by applying the latest nonlinear control theories, including constructive nonlinear control (Backstepping, Input-to-State Stable) and Model Predictive Control (MPC). The estimation and control performance is improved while the calibration effort is reduced significantly. The book presents many detailed examples of design processes and thus enables the readers to understand how to successfully combine purely theoretical methodologies with actual applications in vehicles.
The book is intended for researchers, PhD students, control engineers and automotive engineers.
Hong Chen is a professor at the State Key Laboratory of Automotive Simulation and Control, and the Department of Control Science and Engineering at Jilin University. Bingzhao Gao is an associate professor at the State Key Laboratory of Automotive Simulation and Control at Jilin University.
Content Level »Research
Keywords »Automatic Transmission - Automotive Drivetrain - Modeling - Nonlinear Control - State Estimation