Piston motion control for a dual free piston linear generator: predictive-fuzzy logic control approach
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DOI 10.1007/s12206-020-1035-1
Journal of Mechanical Science and Technology 34 (11) 2020 Original Article DOI 10.1007/s12206-020-1035-1 Keywords: · Predictive-fuzzy logic control · PID control · Piston motion · Load change · Cycle to cycle variation
Correspondence to: Ocktaeck Lim [email protected]
Citation: Vu, D. N., Lim, O. (2020). Piston motion control for a dual free piston linear generator: predictive-fuzzy logic control approach. Journal of Mechanical Science and Technology 34 (11) (2020) 4785~4795. http://doi.org/10.1007/s12206-020-1035-1
Received January 11th, 2020 Revised
July 6th, 2020
Accepted August 20th, 2020 † Recommended by Editor Yong Tae Kang
Piston motion control for a dual free piston linear generator: predictive-fuzzy logic control approach Dinh Nam Vu1 and Ocktaeck Lim2 1
2
Graduate School of Mechanical Engineering, University of Ulsan, Ulsan 44610, Korea, School of Mechanical Engineering, University of Ulsan, Ulsan 44610, Korea
Abstract
The free-piston engine has a lot of potential to alter the conventional combustion engine due to mechanical structural simplicity, high engine efficiency, reducing hazardous gas emission and fuel flexible combustion. However, accuracy of piston motion control is a major challenge in all types of free-piston engine as well a dual free piston engine generator (DFPG) because of not having a crankshaft mechanism. This article describes a simulation investigation of a predictive-fuzzy logic control method conducted on the DFPG prototype in University of Ulsan. First, the simulation model of the DFPG consisted of a free-piston engine and a linear alternator is established and running in Matlab/Simulink environment. Then simulation result is validated against experimental data to prove validity of the simulation model. Second, a predictive-fuzzy logic (PFL) control method is proposed to apply to the DFPG and its performance is carried out using the full-cycle simulation model. The PFL strategy is demonstrated to improve the DFPG performance and more effective than the PID one in terms of settling time, TDC error, and cycle-to-cycle variation. According to results, the PFL controller reduces settling time 30 % in comparison to PID controller. The PFL controller has also 0.52 mm better TDC position error than the PID controller is 0.76 mm. Coefficient of variation values is found to be 1.0 %, and 1.9 % for the PFL controller and PID controller, respectively. This means that the PFL controller is a powerful method to dampen cycle to cycle variations in the DFPG.
1. Introduction
© The Korean Society of Mechanical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2020
Due to significant mechanical structural simplicity, increasing mechanical durability, low frictional loss, high engine efficiency and power density, reducing hazardous gas emission and fuel flexible combustion, the free piston engine has been developed for promoting numerous application such as electric generators, hydraulic pumps and air compressors [1-6]. A free piston engin
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