NDLI: Implementation of online maximum efficiency tracking control for a dual-motor drive system

Content Provider	IET Digital Library
Author	Tseng, Shao Kai Liu, Tian Hua Hsu, Jing Wei Ramelan, Luiz Rizki Firmansyah, Eka
Abstract	This paper proposes an online maximum efficiency tracking control for a dual-motor drive system. The efficiency of each drive system is obtained by online measuring the input power and online estimating the output power. Two algorithms, including the steepest ascent algorithm and fuzzy logic algorithm are proposed to achieve maximum efficiency tracking. The proposed methods do not require any computations related to the copper and core losses of the motor and the switching and conduction losses of the inverter. In addition, the proposed drive system can have better efficiency and better flexibility and requires smaller power ratings of each motor and inverter, which are easily manufactured in industry. The control algorithms are executed by using two digital signal processors, type TMS 320-F2808, made by Texas Instruments Incorporated Company. A controller area network (CAN) bus is used as a communication tool. Several experimental results show the correctness and feasibility of the proposed method. The proposed method can be easily applied in industry because of its simplicity.
Starting Page	449
Ending Page	458
Page Count	10
ISSN	17518660
Volume Number	9
e-ISSN	17518679
Issue Number	Issue 7, Aug (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-epa/9/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-epa.2014.0415
Journal	IET Electric Power Applications
Publisher Date	2015-07-20
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	A.C. Machine CAN Bus Communication Tool Conduction Loss Control Algorithm Control of Electric Power System Copper Loss Core Loss D.C. Machines Digital Signal Processors Drive Dual-motor Drive System Fuzzy Control Fuzzy Logic Algorithm Machine Control Motor Drive Online Maximum Efficiency Tracking Control Power Ratings Steepest Ascent Algorithm Switching Loss Texas Instrument Incorporated Company Type TMS 320-F2808
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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