Design optimization of a BLDC motor: a comparative analysis

Author(s):  
Miroslav Markovic ◽  
Patrick Ragot ◽  
Yves Perriard
Author(s):  
P. Vimala ◽  
C. R. Balamurugan ◽  
A. Subramanian ◽  
T. Vishwanath

The FOPID and PID controller are designed to control the speed of <br /> the BLDC motor. The parameters , , , λ and µ of these controller are optimized based on genetic algorithm. The optimized coefficients keep in track with zero error signals. The output of the controller is given to the variable dc source which varies the input voltage to the three phase inverter depending on the input signal. The three phase inverter gives the voltage to the BLDC motor which enhances the stability of the system. <br /> The effectiveness of the controller is demonstrated by simulation.


Author(s):  
A Lalithasyamala and Dr.D Ravi Kishore

In this paper, analysis of solar power fed Brushless DC motor (BLDC) motor drive with a boost converter is presented for water pumping application in irrigation system. Nowa days, the usage of renewable PV source is increasing gradually, due to the encouragement of eco-friendly energy sources by providing subsidies for the installation in the initial states. In the agricultural sector, the water pump system requires a 3-ϕ power supply, for that we need a separate transmission line and transformers to meet the load demand. In this paper, a solar power fed BLDC motor water pumping system with boost converter and Voltage source Inverter (VSI) is presented which reduces the converter switch stress by increasing the voltage transfer gain ratio. VSI needs a huge dc link capacitor that is inherently unreliable and is one of the most expensive components of a drive.A MPPT controller is required to extract maximum power from the high penetrating renewable PV source and also proposes the Current source inverter (CSI) fed water pumping system is developed and examine with same operating conditions. A comparative analysis view in existing method of system replace the VSI with CSI. The performance of system is analyzed with speed settling times at same operating conditions. The proposed work is carried out in the MATLAB/Simulinksoftware. A comparative analysis is also presented in lucid manner


Author(s):  
A Lalithasyamala and Dr.D Ravi Kishore

In this paper, analysis of solar power fed Brushless DC motor (BLDC) motor drive with a boost converter is presented for water pumping application in irrigation system. Nowa days, the usage of renewable PV source is increasing gradually, due to the encouragement of eco-friendly energy sources by providing subsidies for the installation in the initial states. In the agricultural sector, the water pump system requires a 3-ϕ power supply, for that we need a separate transmission line and transformers to meet the load demand. In this paper, a solar power fed BLDC motor water pumping system with boost converter and Voltage source Inverter (VSI) is presented which reduces the converter switch stress by increasing the voltage transfer gain ratio. VSI needs a huge dc link capacitor that is inherently unreliable and is one of the most expensive components of a drive.A MPPT controller is required to extract maximum power from the high penetrating renewable PV source and also proposes the Current source inverter (CSI) fed water pumping system is developed and examine with same operating conditions. A comparative analysis view in existing method of system replace the VSI with CSI. The performance of system is analyzed with speed settling times at same operating conditions. The proposed work is carried out in the MATLAB/Simulinksoftware. A comparative analysis is also presented in lucid manner.


Author(s):  
Soo-Whang Baek

In this paper, we propose and perform the robust design optimization (RDO) algorithm for the shape of the BLDC motor used in the electric oil pump. The proposed RDO algorithm improves the torque characteristics of the BLDC motor to improve the performance of the electric oil pump. The previous deterministic design optimization (DDO) method derives an appropriate combination of the design goal and the specific target performance. However, not only the target performance but also other performance constraints must be considered for RDO. To overcome these problems, we consider the penalty function. In conclusion, we can confirm the improvement of the torque characteristics of the BLDC motor used in the EOP by using the proposed RDO algorithm.


Author(s):  
Umadevi Nagalingam ◽  
Balaji Mahadevan ◽  
Kamaraj Vijayarajan ◽  
Ananda Padmanaban Loganathan

Purpose – The purpose of this paper is to propose a multi-objective particle swarm optimization (MOPSO) algorithm based design optimization of Brushless DC (BLDC) motor with a view to mitigate cogging torque and enhance the efficiency. Design/methodology/approach – The suitability of MOPSO algorithm is tested on a 120 W BLDC motor considering magnet axial length, stator slot opening and air gap length as the design variables. It avails the use of MagNet 7.5.1, a Finite Element Analysis tool, to account for the geometry and the non-linearity of material for assuaging an improved design framework and operates through the boundaries of generalized regression neural network (GRNN) to advocate the optimum design. The results of MOPSO are compared with Multi-Objective Genetic Algorithm and Non-dominated Sorting Genetic Algorithm-II based formulations for claiming its place in real world applications. Findings – A MOPSO design optimization procedure has been enlivened to escalate the performance of the BLDC motor. The optimality in design has been out reached through minimizing the cogging torque, maximizing the average torque and reducing the total losses to claim an increase in the efficiency. The results have been fortified in well-distributed Pareto-optimal planes to arrive at trade-off solutions between different objectives. Research limitations/implications – The rhetoric theory of multi objective formulations has been reinforced to provide a decisive solution with regard to the choice of the design obtained from Pareto-optimal planes. Practical implications – The incorporation of a larger number of design variables together with an orientation to thermal and vibration analysis will still go a long way in bringing on board new dimensions to the fold of optimality in the design of BLDC motors. Originality/value – The proposal offers a new perspective to the design of BLDC motor in the sense it be-hives the facility of a swarm based approach to optimize the parameters in order that it serves to improve its performance. The results of a 120 W motor in terms of lowering the losses, minimizing the cogging torque and maximizing the average torque emphasize the benefits of the GRNN based multi-objective formulation and establish its viability for use in practical applications.


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