Received Jan 17, 2017 Revised Mar 17, 2017 Accepted Mar 31, 2017 Brushless DC motor is a synchronous machine that makes use of electronic commutation instead of mechanical commutator. Brushless DC motors makes use of inverter encompassing static switches for its operation. A simple bridge converter when used for BLDC drive as front end converter makes input source power factor to get reduced wh...

Solar photovoltaic (SPV) power systems can be employed as electrical power sources to meet the daily residential energy needs of rural areas that have no access to grid systems. In view of this, a standalone SPV powered air cooling system is proposed in this paper, which constitutes a dc-dc boost converter, two voltage source inverters (VSI) connected to two brushless dc (BLDC) motors which are...

When compared to other types of motors, brushless DC (BLDC) motors have, larger torque, higher speed, greater efficiency, better control, longer maintenance life and are cleaner. However, their control circuitry is much more complicated than that of an ordinary brushed DC motor, often resulting in designers’ preference for other motor types. This paper will step through the design of both the h...

This paper presents the control approach for single inverter dual coupled brushless DC motors (DCBLDC) drive system. One of the basic requirements of such systems, is the power balance between two motors and on the other hand, minimizing mechanical fluctuations in order to avoid mechanical equipment damage especially in the state of mechanical resonance. This paper also presents an improved for...

The micro all-electric vehicle pertaining to this study is rear-driven, with motors in the left and right rear wheels. The motors are brushless dc (BLDC) using Hall effect sensors with a trapezoidal back-electromotive force. The control system is developed by using a digital signal processor. To thoroughly utilize the fast torque generation feature of BLDC motors, direct torque control (DTC) is...

Anti-control of chaos of single time-scale brushless DC motors is studied in this paper. In order to analyse a variety of periodic and chaotic phenomena, we employ several numerical techniques such as phase portraits, bifurcation diagrams and Lyapunov exponents. Anti-control of chaos can be achieved by adding an external constant term or an external periodic term.

This paper presents a new position-and-velocity sensorless control of brushless dc motors using an adaptive sliding mode observer. The sliding mode observer is robust to measurement noises. Stability of the adaptive scheme is assured and estimation errors due to parameter deviations are analyzed.