期刊：
Proceedings of the 27th Chinese Control Conference, CCC,2008年:672-675
通讯作者：
Sheng Yifa
作者机构：
[Sheng Yifa; Hong Zhennan] Univ South China, Sch Elect Engn, Hengyang 421001, Peoples R China.;[Sheng Yifa; Yu Shouyi] Cent South Technol, Sch Informat Sci & Engn, Changsha 410083, Peoples R China.
通讯机构：
[Sheng Yifa] U;Univ South China, Sch Elect Engn, Hengyang 421001, Peoples R China.
会议名称：
27th Chinese Control Conference, CCC
会议时间：
July 16, 2008 - July 18, 2008
会议地点：
Kunming, Yunnan, China
关键词：
Permanent Magnet Synchronous Motor;Direct Torque Control;Torque ripple;Stator Current
摘要：
Based on analysing the factors that cause torque ripple and analysing the nonzero demagnetism/in magnetism component in stator current for the typical direct torque control system of the permanent magnet synchronous motor, this paper presents a novel control system which directly controls the magnetizing component of the stator current with two-level bang-bang controller.The improvement eliminated the component which in the stator current did not hope, enhanced the exchange transmission system efficiency. It is simple and easy to implement. The simulation results indicate static and dynamic performance of the new system is improved and torque ripple is decreased, simultaneously still retains the better control performance and higher efficiency than the typical direct torque control system.
作者机构：
[盛义发; 阳武娇] School of Electric Engineering, South University, Hengyang 421001, China;[Masso, Kasuga] Graduate School of Engineering, Utsunomiya University, Utsunomiya 321-8505, Japan;[洪镇南] School of Electric Engineering, South University, Hengyang 421001, China<&wdkj&>Graduate School of Engineering, Utsunomiya University, Utsunomiya 321-8505, Japan
通讯机构：
[Hong, Z.-N.] S;School of Electric Engineering, South University, China
关键词：
advanced static var generator;variable structure;neural network;fuzzy control
摘要：
A intelligent integrated control method of double close loop is used for advanced static var generator (ASVG). The outer loop based on traditional PI control and the inner loop based on variable structure neural network fuzzy control are presented. Observed signals are firstly collected to input and output signals of FLC for inner loop, and initial fuzzy rules are fast obtained by fuzzy toolbox of MATLAB; A kind of variable structure neural.network algorithm is adopted to adjust fuzzy rules, and improves the ability of self-studying and self-adjusting in fuzzy control rules. The result of simulation shows: the method which is applied in ASVG controller can improve comprehensive ability of the controller and strengthen control effect to the power system.
期刊：
IEEE ICMA 2006: PROCEEDING OF THE 2006 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, VOLS 1-3, PROCEEDINGS,2006年:2459-2464 ISSN：2152-7431
摘要：
Aimed at the characteristics of strong nonlinearity, uncertainty, time-variance and serious interconnection etc for AC electric arc-furnace (EAF). A new control method is put forward, in which fuzzy-neural network is applied. Mamdani fuzzy model is adopted in the control system, its structure has four layers. According to the gradient descent strategy, the variable learning speed algorithm of the off-line is used to seek for the better parameters of membership function and the weights of the links between layer III and layer W, the invariable learning speed algorithm of the on-line is used to search for their optimization parameters. The unbalanced technical question of the AC EAF's three phase current is solved by fuzzy-neural control method. At the same time, the hard structure and soft structure of system are introduced in this paper. It has better robustness and real-time ability in running system.
