Motion Control in a Free Piston Energy Converter Based on a Neural Adaptive PID Decoupling Controller

Yi Min Lu; Xian Feng Huang; Juan Ping Wang; Z.Q. Zhu

doi:10.4028/www.scientific.net/AMM.416-417.454

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 416-417Motion Control in a Free Piston Energy Converter...

Motion Control in a Free Piston Energy Converter Based on a Neural Adaptive PID Decoupling Controller

Abstract:

The free piston energy converter (FPEC) is a combination of a combustion engine and a linear electrical machine which develops a new type of power unit for hybrid electric vehicle. The movement component of the FPEC is a multi-input multi-output coupling nonlinear system. As a consequence, an adaptive decoupling control strategy is presented in this paper for controlling the piston motion. Two neural PID controllers in parallel are employed as the decoupling controller, in which PID gains are auto adjusted by supervised Hebbs learning rule. Simulation results show that the utilization of the neural adaptive PID decoupling controller gives rise to stabilize the piston motion.

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Periodical:

Applied Mechanics and Materials (Volumes 416-417)

Pages:

454-460

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.416-417.454

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Online since:

September 2013

Authors:

Yi Min Lu, Xian Feng Huang, Juan Ping Wang, Z.Q. Zhu

Keywords:

Free Piston Energy Converter, Motion Control, Neuron Learning Algorithm, PID Control

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