Electromagnetic design optimization of single-sided linear induction motor for improved drive performance based on linear metro application

Abstract

Single-sided linear induction motors (SLIMs) have been increasingly developed in industries in the past ten years, especially in transportation systems. This is basically due to their merits of direct thrust, high acceleration and deceleration, less mechanical loss, etc. However, for the SLIMs special physical structure, including the cut-open magnetic circuit, different width between primary and secondary (along the axial direction), they suffer from longitudinal end-effect and transversal edge-effect, which would make their mutual inductance and secondary equivalent resistance change unregularly, and hence increase the complexity of their equivalent circuit model (ECM). Meanwhile, for the influence by skin effect resulted from the secondary eddy current, the resistance of secondary back-iron, etc., the SLIMs are inherited by seriously partial electromagnetic saturation or nonlinear effect particularly in large current excitation condition, and their accurate ECM are difficult to get, which might bring great difficulty to their electromagnetic design and performance analysis. In this paper, first, one improved ECM that fully considers longitudinal end-effect, transversal edge-effect, skin effect and electromagnetic saturation of secondary sheet back-iron, is presented. Second, the influence of different structure parameters on SLIM key drive indexes, e.g. thrust, efficiency and power factor, is analyzed. Third, a multi-objective optimization function is established based on genetic algorithm (GA), which aims to increase the efficiency, power factor and thrust as well as to reduce primary weight simultaneously.Index Terms-Single-sided linear induction motor (SLIM), equivalent circuit model (ECM), genetic algorithm (GA), drive performance, multi-objective optimization function.

Review on dynamic group data sharing in cloud environment

“…Researchers [67][68][69][70][71][72][73][74][75] proposed attribute-based encryption method for secure sharing of data. However, their encryption and decryption lack efficiency because of the expensive pairing operations involved [73], [76].…”

Design Optimization and Performance Comparison of Two Linear Motor Topologies With PM-Less Tracks

“…As an addition, the existing design solutions for LIM differ very much from each other, as they are implemented in different applications. LIM having short movers and therefore relatively small volume [4] [5], are designed with lower thrust, compared to designs with much larger overall dimensions [6] [7] [8]. However, both the LIM and LFSM are considered to be promising alternatives to LSM for long-stroke applications, because of their cheaper and more robust tracks.…”

Optimal design selection and analysis of single sided linear induction motor

“…high efficiency and power factor, [18]- [22] have made many research works to design the SLIM. Unfortunately, these works either fall short to consider the coupling relationship among all structure parameters fully or fail in aligning proper constraints to meet the standard working conditions [23]. Also, from the review of the existing literature studies, it can be recognised that only some of the studies focused towards the optimisation of SLIM.…”

“…Also, from the review of the existing literature studies, it can be recognised that only some of the studies focused towards the optimisation of SLIM. Optimization techniques namely, GA [23], [24],PSO [25],cuckoo search algorithm [26], backtracking search algorithm [27], etc., are being used in many studies in order to enhance the performance of IM drives, in particular, its control systems [28]- [30]. In [31], GA was applied to improve the fuzzy-phase plane controller for speed tracking/ ideal position control in IM.…”

“…In [31], GA was applied to improve the fuzzy-phase plane controller for speed tracking/ ideal position control in IM. Similarly, for optimum torque control and loss minimisation operation in IMs, GA-PSO algorithm was used to enhance the indirect vector control [23], [32], [33] likewise, for model-parameter identification technique, PSO was applied in permanent-magnet synchronous motors.…”