Optimal Coil Design of an Electromagnetic Actuator Using Particle Swarm Optimization (original) (raw)
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IEEE Transactions on Magnetics, 2000
In this paper a variety of analytical/integral methods are compared for calculating the axial force between a cylindrical magnet and a 'thick' solenoid that consists of many turns both radially and axially. Two newly developed techniques are introduced: one being numerical integration-based and the other completely analytical. These are compared to two other techniques, each shown to have various advantages in different contexts. One method in particular is introduced that is shown to be the most computationally efficient in the majority of actuator designs. This method is then used to optimise a typical 'sleevetype' magnet-coil actuator based on the cost function of peak force, and it is shown that optimal values of wire thickness and magnet-coil geometry can be chosen based on desired coil impedance and magnet volume.
In this paper, a variety of analytical/integral methods are compared for calculating the axial force between a cylindrical magnet and a “thick” solenoid that consists of many turns both radially and axially. Two newly developed techniques are introduced: one being numerical integration-based and the other completely analytical. These are compared to two other techniques, each shown to have various advantages in different contexts. One method in particular is introduced that is shown to be the most computationally efficient in the majority of actuator designs. This method is then used to optimize a typical “sleeve-type” magnet-coil actuator based on the cost function of peak force, and it is shown that optimal values of wire thickness and magnet-coil geometry can be chosen based on desired coil impedance and magnet volume.
Optimum Design of Square Air-Core Electromagnetic Coil System
FUOYE Journal of Engineering and Technology, 2021
Designs of electromagnetic (EM) coil have attracted a lot of attention in the research community due to its applications in several areas of human endeavours. However, the optimal selection of coil wire size and current in the design of Square Air-Core Multi-turn Multilayer Electromagnetic Coil (SAMMEC) with significant wire diameter for both safe and cost-effective products has not been given enough research attention. Therefore, the equation for the flux density produced by a rectangular loop of wire was adopted in the modelling of SAMMEC with significant wire diameter. A coil design chart was constructed based on the developed model and design specifications. Both the feasible and non-feasible design regions and the line of optimum magnetic flux density were identified on the constructed chart. The appropriate wire size and current for the coil were both determined from the design-chart. The diameter, length, resistance, copper loss, and weight of the selected wire for the genera...
IEEE Transactions on Antennas and Propagation, 2007
The particle swarm algorithm is a newly introduced method for electromagnetic optimization problems that is based on the observation of swarm intelligence and particle behavior. This paper proposes a novel strategy for the initialization of the agents' position within the multidimensional solution domain. In particular, the domain is initially subdivided into subdomains so to have a more uniform distribution of the agents. At a second stage, the sub-boundaries are removed and the best position information of each group is passed to each agent; the agents are therefore allowed to explore the whole search space. This procedure results to be efficient and to improve the convergence rate. A comparison between the performance of this new implementation and that of the basic particle swarm algorithm is presented for several test cases. Finally, this new procedure is successfully applied to the synthesis of artificial magnetic conductors (AMCs).
Further development of an optimal design approach applied to axial magnetic bearings
2000
Classical design methods involved in magnetic bearings and magnetic suspension systems have always had their limitations. Because of this, the overall effectiveness of a design has always relied heavily on the skill and experience of the individual designer. This paper combines two approaches that have been developed to aid the accuracy and efficiency of magnetostatic design. The first approach integrates classical magnetic circuit theory with modern optimization theory to increase design efficiency. The second approach uses loss factors to increase the accuracy of classical magnetic circuit theory. As an example, an axial magnetic thrust bearing is designed for minimum power. NOMENCLATURE 1 A g = Area of the pole pieces at the air gap B = Flux density B r = Remanence flux of neodymium iron boron F = Force J = Current density K a = Actuator loss factor K F = Flux leakage factor K i = Coil mmf loss factor L g = Length of air gap L m = Permanent magnet thickness (on each pole piece) V c = Volume of the coil 0 = Coil packing factor : 0 = Permeability of free space (4B×10-7 H/m) D = Resistivity of copper (2×10-5 SAm) T = Frequency of occurrence of disturbance force 1. All equations are formulated in SI units
A New Approach Design Optimizer of Induction Motor using Particle Swarm Algorithm
2014
First of all, this paper discusses the use of a novel approach optimization procedure to determine the design of three phase electrical motors. The new lies in combining a motor design program and employing a particle-swarm-optimization (PSO) technique to achieve the maximum of objective function such as the motor efficiency. A method for evaluating the efficiency of induction motor is tested and applied on 1.1 kW experimental machines; the aforementioned is called statistics method (SM) and based on the analysis of the influence losses. As the equations which calculate the iron losses make call to magnetic induction. From this point, the paper proposes to evaluate the B(H) characteristic by estimating the circuit’s flux and the counting of excitation. Next, the optimal designs are analyzed and compared with results of another method which is genetic algorithms (GAs) optimisation technique, was done to demonstrate the validity of the proposed method.
Optimum Design of Single Linear Induction Motors by Particle Swarm Optimization
In this Paper, the analysis of the dynamic response of a Linear Induction Motor as an electromechanical system is done, accounting for all the governing equations implied in the process which are used to develop the corresponding simulation models. Once this model is presented, a feedback control system is implemented in order to analyze the controlled response of the motor, considering the applications and conditions analogue to aircraft launcher systems. This procedure will be done by analytic method and by using the particle swarm optimization technique with PI controller. Results will show the accuracy of the equivalent circuit model and the improvement of objective functions at the end of the optimization procedure.
IEEE Transactions on Magnetics, 2000
Extensive efforts have been long directed towards the development of shape optimization methodologies for electromagnetic devices. In case of devices involving nonlinear magnetic media, this optimization process becomes more complicated. This paper demonstrates how shape optimization and field analysis of such devices may be carried out efficiently and conveniently using the particle swarm evolutionary approach and without the involvement of other computational tools. Details of the proposed approach, its application to different electromagnetic devices, and comparisons with finite-element computations are presented in the paper.
This paper addresses a rotary motion type of electromagnetic actuator that compares two types of electromagnetic actuators; i.e the Permanent Magnet Switching Flux (PMSF) and the Switching Reluctance (SR) actuator. The Permanent Magnet Switching Flux (PMSF) actuator is the combination of permanent magnets (PM) and the Switching Reluctance (SR) actuator. The force optimizations are accomplished by manipulating the actuator parameters; i.e. (i) the poles ratio of the stator and rotor; (ii) the actuator's size; (iii) the number of winding turns; and (iv) the air gap thickness between the stator and rotor through Finite Element Analysis Method (FEM) using the ANSYS Maxwell 3D software. The materials implemented in the actuator's parameters optimizations are readily available materials, especially in Malaysia. The excitation current used in FEM analysis for both actuators was between 0A and 2A with interval of 0.25A. Based on the FEM analyses, the best result was achieved by the Permanent Magnet Switching Flux (PMSF) actuator. The PMSF actuator produced the largest magnetostatic thrust force (4.36kN) once the size is scaled up to 100% with the input current, 2A respectively. The maximum thrust force generated by the Switching Reluctance (SR) actuator was 168.85μN, which is significantly lower in compared to the results of the PMSF actuator.