Modeling, parameter estimation and nonlinear control of automotive electronic throttle using a Rapid-Control Prototyping technique

被引:0
作者
R. Grepl
B. Lee
机构
[1] Brno University of Technology,Mechatronics Laboratory, Faculty of Mechanical Engineering
[2] Keimyung University,Department of Mechanical and Automotive Engineering
来源
International Journal of Automotive Technology | 2010年 / 11卷
关键词
Electronic throttle control; Nonlinear control; Friction compensation; Parameter estimation; Rapid control prototyping;
D O I
暂无
中图分类号
学科分类号
摘要
An electronic throttle consists of a DC motor, spur gears, a return spring, a position sensor, power electronics and an electronic control unit. Fast and precise position control of this electromechanical system is relatively difficult due to very high friction and the strong nonlinearity of the spring. Simple application of linear control, such as PID, fails. In this paper, two new controller structures suitable for different reference signal types are described. The key component of the position controller is the friction compensator based on either/both feedforward or feedback principles. The quality of the resulting behavior was measured using several criteria including the measure of control activity around the equilibrium position. The control activity directly influences the vibration, the noise and the wear of the servo system. The proposed controllers demonstrated superior behavior compared with other published structures.
引用
收藏
页码:601 / 610
页数:9
相关论文
共 50 条
[41]   Estimation of Nonlinear Control Parameters In Induction Machine Using Particle Filtering [J].
Mansouri, Majdi ;
Mohamed-Seghir, Mostefa ;
Nounou, Hazem ;
Nounou, Mohamed ;
Abu-Rub, Haitham .
2013 10TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS & DEVICES (SSD), 2013,
[42]   Parameter estimation of single and decentralized control systems using pulse response data [J].
Cheres, E ;
Podshivalov, L .
BULLETIN OF THE KOREAN CHEMICAL SOCIETY, 2003, 24 (03) :279-284
[43]   Nonlinear mapping-based feedback technique of dynamic surface control for the chaotic PMSM using neural approximation and parameter identification [J].
Gao, Shigen ;
Dong, Hairong ;
Ning, Bin ;
Tang, Tao ;
Li, Yidong .
IET CONTROL THEORY AND APPLICATIONS, 2018, 12 (06) :819-827
[44]   Design of multi innovation fractional LMS algorithm for parameter estimation of input nonlinear control autoregressive systems [J].
Chaudhary, Naveed Ishtiaq ;
Raja, Muhammad Asif Zahoor ;
He, Yigang ;
Khan, Zeshan Aslam ;
Machado, J. A. Tenreiro .
APPLIED MATHEMATICAL MODELLING, 2021, 93 :412-425
[45]   Nonlinear differential-geometric technique for the control of DC-machines with online parameters estimation [J].
Department of Electrical Engineering, Jordan University of Science and Technology, P.O. Box 3030, Irbid, Jordan .
Int J Modell Simul, 2007, 1 (60-66) :60-66
[46]   A Parameter Estimation Based MPPT Method for a PV System Using Lyapunov Control Scheme [J].
Hussain, Amir ;
Garg, Man Mohan ;
Korukonda, Meher Preetam ;
Hasan, Shamim ;
Behera, Laxmidhar .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2019, 10 (04) :2123-2132
[47]   Torque Ripple Suppression Control for PMSMs using Feedforward Compensation and Online Parameter Estimation [J].
Nakao, Noriya ;
Tobari, Kazuaki ;
Sugino, Tomohiro ;
Ito, Yoshiki ;
Mishima, Mitsuhiro ;
Maeda, Daisuke .
IEEJ JOURNAL OF INDUSTRY APPLICATIONS, 2021, 10 (04) :497-505
[48]   Three Phase Induction Motor Drive: A Systematic Review on Dynamic Modeling, Parameter Estimation, and Control Schemes [J].
Sengamalai, Usha ;
Anbazhagan, Geetha ;
Thentral, T. M. Thamizh ;
Vishnuram, Pradeep ;
Khurshaid, Tahir ;
Kamel, Salah .
ENERGIES, 2022, 15 (21)
[49]   Parameter Estimation and Its Application on Designing Adaptive Nonlinear Model Based Control Schemes for the Time Varying System [J].
Banerjee, S. ;
Panda, A. ;
Pandey, I ;
Bhowmick, P. .
AUTOMATIC CONTROL AND COMPUTER SCIENCES, 2022, 56 (04) :324-336
[50]   Parameter Estimation and Its Application on Designing Adaptive Nonlinear Model Based Control Schemes for the Time Varying System [J].
S. Banerjee ;
A. Panda ;
I. Pandey ;
P. Bhowmick .
Automatic Control and Computer Sciences, 2022, 56 :324-336