Stewart, Paul and Gladwin, Dan and Fleming, P. J. (2007) Multiobjective analysis for the design and control of an electromagnetic valve actuator. Proceedings of the IMechE, Part D: Automobile Engineering, 221 (5). pp. 567-577. ISSN 0954-4070

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Abstract

The electromagnetic valve actuator can deliver much improved fuel efficiency and reduced emissions in spark ignition (SI) engines owing to the potential for variable valve timing when compared with cam-operated, or conventional, variable valve strategies. The possibility exists to reduce pumping losses by throttle-free operation, along with closed-valve engine braking. However, further development is required to make the technology suitable for accept- ance into the mass production market. This paper investigates the application of multiobjective optimization techniques to the conflicting objective functions inherent in the operation of such a device. The techniques are utilized to derive the optimal force–displacement characteristic for the solenoid actuator, along with its controllability and dynamic/steady state performance.

Item Type:	Article
Additional Information:	The electromagnetic valve actuator can deliver much improved fuel efficiency and reduced emissions in spark ignition (SI) engines owing to the potential for variable valve timing when compared with cam-operated, or conventional, variable valve strategies. The possibility exists to reduce pumping losses by throttle-free operation, along with closed-valve engine braking. However, further development is required to make the technology suitable for accept- ance into the mass production market. This paper investigates the application of multiobjective optimization techniques to the conflicting objective functions inherent in the operation of such a device. The techniques are utilized to derive the optimal force–displacement characteristic for the solenoid actuator, along with its controllability and dynamic/steady state performance.
Keywords:	Multiobjective optimisation, electromagnetics, electromechanical energy conversion
Subjects:	G Mathematical and Computer Sciences > G700 Artificial Intelligence H Engineering > H330 Automotive Engineering H Engineering > H360 Electromechanical Engineering
Divisions:	College of Sciences > Faculty of Science > Lincoln School of Engineering
Depositing User:	Paul Stewart
Date Deposited:	05 Mar 2010 12:13
Last Modified:	13 Mar 2013 08:35
URI:	http://eprints.lincoln.ac.uk/id/eprint/2227

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