@inproceedings{d72006ceed104011bce3b809c5818e96,
title = "A hybrid current controller for linear reciprocating vapor compressors",
abstract = "Direct-drive linear reciprocating compressors offer numerous advantages over conventional counterparts which are usually driven by a rotary induction motor via crank shaft However, to ensure efficient and reliable operation under all conditions, it is essential that the motor current of the linear compressor follows a sinusoidal command profile with a frequency which matches the system resonant frequency. This paper describes a hybrid current controller for the linear compressors. It comprises a conventional proportional-integral (PI) controller, and a B-spline neural network compensator which is trained on-line and in real-time in order to minimize the current tracking error under all conditions with uncertain disturbances. It has been shown that the hybrid current controller has a superior steady-state and transient performance over the conventional carrier based PI controller. The performance of the proposed hybrid controller has been demonstrated by extensive simulations and experiments. It has also been shown that the linear compressor operates stably under the current feedback control and the piston stroke can be adjusted by varying the amplitude of the current command.",
keywords = "linear compressor, current control, hybrid controller, B-spline neural network",
author = "Zhengyu Lin and Jiabin Wang and David Howe",
year = "2007",
month = sep,
day = "23",
doi = "10.1109/07IAS.2007.38",
language = "English",
isbn = "978-1-4244-1259-4",
series = "IAS Annual Meeting. Conference Record - Industry Applications Society",
publisher = "IEEE",
pages = "274--280",
booktitle = "Conference record of the 2007 IEEE industry applications conference forty-second IAS annual meeting",
address = "United States",
note = "42nd Industry Applications Society annual meeting ; Conference date: 23-09-2007 Through 27-09-2007",
}