The book presents high quality research papers presented by experts in the International Conference on Internet Computing and Information Communications 2012, organized by ICICIC Global organizing committee (on behalf of The CARD Atlanta, Georgia, CREATE Conferences Inc). The objective of this book is to present the latest work done in the field of Internet computing by researchers and industrial professionals across the globe. A step to reduce the research divide between developed and under developed countries.

To drive the PMBLDC motor, for the conventional 120-degree commutation, the winding without phase current in each conduction interval can be considered as a sensor for back-emf detection. However, in the case of 180-degree commutation, the back-emf detection cannot be realized because all the three phases conduct current in each interval and no back-emf signals are available on stator terminals, which is the reason why the 180-degree sensorless commutation has not been considered so far. In this thesis, a novel 180-degree sensorless system for a PMBLDC motor is proposed. The position and speed information are estimated based on the back-emf signals, which are estimated from the simple sensing of the stator terminal voltage and phase current signals. Each phase of the conventional 120-degree rotates only 120 degrees with current to generate torque and waits for next excitation in the other 60 degrees without torque generated. However, each phase of the proposed 180-degree sensorless system conducts current for the entire electrical period, which produces more torque. The comparison between the 120-degree and the 180-degree sensorless system is also investigated.

A PM Brushless DC motor drive system is used to control the speed or the position of a Permanent Magnet Brushless DC motor. The position and speed sensors have some disadvantages such as increasing cost and reducing the drive robustness. By the reason, sensorless control has been studied for the last decades but the study has been still reminding problems. Therefore, a novel estimation technique for speed and position of PMBLDC motor is proposed. In the technique, the speed and position is calculated from estimated back-EMF which is estimated by only measurable voltages and currents of the PMBLDC motor. This book indicated following that Analysis of PMBLDC motor, Review of estimation method in previous research in PMBLDC motor, Modeling and simulation and analysis in Matlab/Simulink, Implementing estimation method with LabVIEW.