Physics-based modeling and multi-objective parameter optimization of excitation coil for giant magnetostrictive actuator used on fuel injector. (May 2022)

• Record Type: Journal Article
• Authors: Rong, Ce; He, Zhongbo; Xue, Guangming; Zhou, Jingtao; Zhao, Zhenglong
• Is Part Of: Measurement and control. Volume 55:Number 5/6(2022)
• Page Start: 421
• Page End: 436
• Publication Date: 2022-05
• Subjects: physics-based modeling -- giant magnetostrictive actuator -- electronic controlled injector -- excitation coil model -- current response -- multi-objective optimization; Automatic control -- Periodicals; Engineering instruments -- Periodicals; Production engineering -- Periodicals; 629.8
• DOI: 10.1177/00202940221103606
• Languages: English
• ISSNs: 0020-2940

Abstract

Serving as one of the core component, the excitation coil can exert remarkable influence on the output performance of giant magnetostrictive actuator (GMA) for electronic controlled fuel injector. In this paper, a multi-objective coil optimization scheme is proposed to balance the conflicting response speed and magnetic field intensity determined by the coil parameters. Firstly, a physics-based coil model is established for optimization, whose parameters can be directly calculated by the coil dimensions. Then, with the current response of the coil calculated, a multi-objective optimization framework is conducted attempting to get the selection guideline for the enameled wire diameter of the coil. The optimal choices exist when the outer diameter of the enameled wire falls in 0.9∼1.6 mm, and the inner/outer diameter ratio is relatively high. Finally, a series of experiments are conducted and the results indicate that the proposed model is able to accurately describe the current response throughout the operating frequencies, and the optimization scheme can provide a valuable roadmap to design coil for high performance GMA.