In the rotating machinery sector, active magnetic bearing (AMB) has drawn great attention due to its benefits over the conventional bearing system. The high-speed technology is enhanced by AMBs, which also reduce maintenance costs and eliminate friction loss. This paper presents a unique, simpler, efficient design and hardware implementation for high-speed applications using two-coil I-type active magnetic bearings. To maintain the 10 mm air gap between the actuator and the rotor, two categories of controllers have been designed for the proposed system to control the position and another for detecting the coil current through the power amplifier. The AMB system is incorporated into a 3D finite element model for determining magnetic properties. The magnetic analysis is then carried out under various situations, and the attractive force characteristics have been evaluated for this suggested system to check the performance of the multicoil AMB system along with the stability analysis. The system is designed and simulated in MATLAB Simulink and implemented in hardware to validate the different outputs viz. position response and current response. Finally, an AC magnet is designed to rotate the rotor after the levitation, and a higher speed of 19,643 rpm is achieved in comparison to conventional bearings, which can be utilized in different industrial applications.
In this paper, one simplified transfer function based and detailed mathematical modelling based closed loop structure of a BLDC drive has been established with various combinations of classical controllers. Typical PWM operated control strategy is incorporated in the conventional two-level inverter (VSI) fed permanent magnet (BLDC) motor to minimize the torque ripple. To form a typical closed-loop structure, it comprises of two control loops for better speed and torque control implementation in certain purposes. The system is examined in MATLAB Simulink with various combinations of the classical and fuzzy controllers. Though the inner current loop should be ahead in procedureassociatedwith the external speed loop, thus PI controllers are mostlychosen as a current controller. These controller gains are enhancedby means of two optimization methods of Particle swarm optimization and Genetic algorithm to get a betterresponse by eliminating steady-state error, max peak overshoot and decreasing the rising time, peak time, of the projected BLDC motor drive.
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