Title page for etd-0722119-103014

URN	etd-0722119-103014	Statistics	This thesis had been viewed 213 times. Download 1 times.
Author	Hsu Yung Ta
Author's Email Address	No Public.
Department	Department of mechanical engineering
Year	2018	Semester	2
Degree	Master	Type of Document	Master's Thesis
Language	zh-TW.Big5 Chinese	Page Count	76
Title	Neuro PI Controller Applied To Temperature Control for Air Conditioning Systems
Keyword	Temperature control Proportional integral control Artifical neural networks frequency air conditioning systems Variable Variable frequency air conditioning systems Artifical neural networks Proportional integral control Temperature control
Abstract	The modern variable frequency air conditioning systems （VFACS） operate under cooling load variations and parameter variations,still need satisfied performance of temperature response for energy saving. So that the modern air conditioning systems need a controller with adaptability and learning ability. The conventional PID control is not sufficient to modern VFACS,because the difficulty of control parameters design and without adaptability. The conventional adaptive controls with complicate algorithms are not available for the VAFACS. This study,a Neuro,PI controller appled to temperature control for the VFACCS is proposed. A back prpogation neural network （BPN） is applied to tuning the PI controller control parameters algorithms. This study investigates the convergent speed and temperature responses with proposed algorithms by simulations,and the simulation results reveal the proposed method is available to tuning the PI controller control parameters and enhances the adaptability.
Advisor Committee	Chu Ming Huein - advisor
Files	etd-0722119-103014.pdf indicate in-campus access at 5 years and off-campus access at 5 years
Date of Defense	2019-07-10	Date of Submission	2019-07-22

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