DocumentCode :
3009369
Title :
Control of intake manifold pressure for lean-burn motorcycle engine
Author :
Bo-Chiuan Chen ; Yuh-Yih Wu ; Anh-Trung Tran
Author_Institution :
Dept. of Vehicle Eng., Nat. Taipei Univ. of Technol., Taipei, Taiwan
fYear :
2013
fDate :
25-28 Nov. 2013
Firstpage :
196
Lastpage :
200
Abstract :
Applying lean burn for motorcycle engines is a preferred solution to reduce fuel consumption and exhaust pollutants. It is however difficult to use conventional air/fuel control solutions for a lean-burn engine as the fuel duration is controlled to achieve desired torque, while airflow is controlled by the throttle valve to maintain air/fuel ratio demand. So for lean-burn motorcycle engine, the throttle valve must be automatically controlled depending on airflow requirement. However airflow cannot be controlled directly by throttle position due to high error. Since the airflow is closely related to the manifold pressure, this paper proposes an adaptive controller for pressure intake manifold control of a motorcycle engine using an electronic throttle valve control. The throttle position is employed as the control input for maintaining desired intake manifold pressure, and is designed based on a lead-lag compensator. The speed-density solution is employed to estimate the parameter of dynamic model. The root-locus technique is used to design the adaptive controller. Performance of the proposed controller is evaluated using a nonlinear motorcycle engine model in matlab/Simulink and experimental validation.
Keywords :
adaptive control; air pollution control; angular velocity; combustion; intake systems (machines); internal combustion engines; manifolds; motorcycles; parameter estimation; pressure control; valves; vehicle dynamics; Matlab; Simulink; adaptive controller; air-fuel ratio; electronic throttle valve control; exhaust pollutants reduction; fuel consumption reduction; intake manifold pressure control; lead lag compensator; lean burn motorcycle engine; parameter estimation; root locus technique; speed density solution; Adaptation models; Engines; Equations; Fuels; Manifolds; Mathematical model; Motorcycles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Information Sciences (ICCAIS), 2013 International Conference on
Conference_Location :
Nha Trang
Print_ISBN :
978-1-4799-0569-0
Type :
conf
DOI :
10.1109/ICCAIS.2013.6720553
Filename :
6720553
Link To Document :
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