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The paper is proposed maximum torque control of induction motor drive using adaptive learning neuro fuzzy controller and artificial neural network(ANN). The control method is applicable over the entire speed range and considered the limits of the inverter's current and voltage rated value. For each control mode, a condition that determines the optimal d, q axis current ds qs i<SUB>ds</SUB>, i<SUB>qs</SUB> for maximum torque operation is derived. The proposed control algorithm is applied to induction motor drive system controlled adaptive learning neuro fuzzy controller and ANN controller, the operating characteristics controlled by maximum torque control are examined in detail. Also, this paper is proposed the analysis results to verify the effectiveness of the adaptive learning neuro fuzzy controller and ANN controller.
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The purpose of this study is to analyze 5th graders' Understandings of the meaning of Symmetric Figure for a Point and the types of problems or errors while constructing and to develop student's Understandings using the New Educational Method. By the literature I arranged the complex meaning of ‘Symmetry' in the sight of transformation, analyzed curriculums of Korea and other countries about ‘Point Symmetry', and found out the cause of students' difficulties while constructing the Symmetric Figure for a Point. For solving this problem I made the ‘Bilateral Symmetric Ruler' and ‘Problems without the grid'. And students had the lessons of construction of Symmetric Figure for a Point using them. After the lesson, I analyzed the effectiveness of the new educational method using the questionnaire and the interview.
This paper proposes efficiency optimization control of interior permanent magnet synchronous motor(IPMSM) drive using multi adaptive fuzzy learning controller(AFLC). In order to optimize the efficiency the loss minimization algorithm is developed based on motor model and operating condition. The controllable electrical loss which consists of the copper loss and the iron loss can be minimized by the optimal control of the armature current. The minimization of loss is possible to realize efficiency optimization control for the proposed IPMSM The optimal current can be decided according to the operating speed and the load conditions. This paper considers the design and implementation of novel technique of high performance speed control for IPMSM using multi-AFLC. The proposed control algorithm is applied to IPMSM drive system controlled AFLC, the operating characteristics controlled by efficiency optimization control are examined in detail.