Abstract: In this study, for optimization of pole arc, parametric approach method of a 16 W powered, high efficiency permanent magnet brushless DC motor (BLDC) which is used especially in rotary cryogenic coolers and other specific applications is discussed. In the study, for the magnets composing rotor poles, the effects of motor on electromagnetic field and output parameters are examined by changing parametrically the offset point of the pole arc. For new magnet geometries acquired by change of pole arc offset point, motor parameters such as magnetic flux distribution, output power, output torque, cogging torque and efficiency were obtained by using analytical and finite element analysis. Motor parameters and parametric solution method used as optimization technique are effectively introduced. Finally, effects of pole arc offset distances to fields and output parameters of the motor are simulated and represented graphically. The proposed machine has 18 slot, surface mounted 6-pole and inner ru

• Publication Date: 14-Jul-2013
• DOI: 10.15224/978-981-07-7021-1-35
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Abstract: Power system performance is affected by dynamic characteristics of hydraulic governor turbines during and following any disturbance, such as occurrence of a fault, loss of a transmission line or a rapid change of load. Accurate modelling of hydraulic system is essential to characterize and diagnose the system response. In this paper the mathematical modelling and simulation of the hydraulic turbine and governing system by using MATLab SISOTOOL has been presented. In addition, stability of turbine has been simulated in MATLab environment and has been shown by varPower system performance is affected by dynamic characteristics of hydraulic governor turbines during and following any disturbance, such as occurrence of a fault, loss of a transmission line or a rapid change of load. Accurate modelling of hydraulic system is essential to characterize and diagnose the system response. In this paper the mathematical modellinious stability plots like, Bode plot, root locus plot, and Nyquist plot.

• Publication Date: 14-Jul-2013
• DOI: 10.15224/978-981-07-7021-1-39
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• Downloads: 0