Multi-objective optimal design of double-sided switched reluctance linear generator for wave power generation

2019 ◽  
Vol 38 (6) ◽  
pp. 1948-1963
Author(s):  
Shuyan Zhao ◽  
Hao Chen ◽  
Rui Nie ◽  
Jinfu Liu
Keyword(s):  
Power Generation ◽  
Finite Element ◽  
Optimization Design ◽  
Wave Power ◽  
Multi Objective Optimization ◽  
Content Type ◽  
Switched Reluctance ◽  
Multi Objective ◽  
Modified Entropy ◽  
Wave Power Generation

Purpose This paper aims to propose a double-sided switched reluctance linxear generator (DSRLG) exclusively for wave power generation. The initial dimensions are given through design experience and principles. To ameliorate comprehensive performance of the DSRLG, the multi-objective optimization design is processed. Design/methodology/approach The multi-objective optimization design of the DSRLG is processed by adopting a modified entropy technique for order of preference by similarity to ideal solution (TOPSIS) algorithm. First, sensitivity analyzes on geometric parameters of the DSRLG are conducted to determine several pivotal geometric parameters as optimization variables. Then, the multi-objective optimization is conducted on the basis of initial dimensions. After determination of synthetical evaluation value of each structure parameter, the best dimension scheme of the DSRLG is concluded. Findings After verification by finite element method simulation and dynamic simulation, the final dimension scheme proves to perform better than the initial scheme. Finally, experiments are conducted to verify the accuracy of both the stable finite element DSRLG model and dynamic simulation system model so that the conclusion of this paper proves to be reliable and compelling. Originality/value This paper proposes an improved structure of the DSRLG, which is superior for wave power generation. Meanwhile, a novel modified entropy TOPSIS algorithm is applied to the field of electrical machine multi-objective optimal design for the first time.

scholarly journals Design and Research of Double-Sided Linear Switched Reluctance Generator for Wave Energy Conversion

2018 ◽  
Vol 8 (9) ◽  
pp. 1700 ◽  
Author(s):  
Yan Chen ◽  
Min Cao ◽  
Chunyan Ma ◽  
Zhigang Feng
Keyword(s):  
Power Generation ◽  
Power Systems ◽  
Wave Energy ◽  
Structure Design ◽  
Wave Power ◽  
Direct Drive ◽  
Pull Force ◽  
Switched Reluctance ◽  
Continuous Power ◽  
Wave Power Generation

As a clean and renewable energy source, wave energy is of great significance in solving primary energy shortages and environmental pollution. Direct-drive wave power systems consisting of linear generators have attracted the attention of researchers from various countries. Linear Switched Reluctance Generator has the advantages of simple structure, sturdiness, reliable operation, suitable for harsh environments, and easy maintenance, aiming at the problem of single-sided magnetic pull force and serious coupling of phase winding of traditional linear switched reluctance generator, a Double-sided Linear Switched Reluctance Generator (DLSRG) for wave power generation is designed, and its electromagnetic characteristics (including coupling characteristics, magnetic saturation characteristics, and magnetic tension characteristics) are analyzed to verify the rationality of the structure and parameter selection. Finally, the power generation performance is studied. The joint simulation results show that the structure design of DLSRG is reasonable, overcomes the problem of single-sided magnetic pull force, the phase-to-phase coupling is negligible, and it has continuous power generation capability, and the power generation efficiency is as high as 80.6%. Therefore, DLSRG designed in this paper is suitable for wave power generation.

Multi-objective optimization of a spoke-type permanent magnet motor with fractional-slot concentrated windings for EVs

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Suying Liu ◽  
Jinlin Huang
Keyword(s):  
Optimization Design ◽  
Torque Ripple ◽  
Electrical Machine ◽  
Multi Objective Optimization ◽  
Content Type ◽  
Driving System ◽  
Torque Density ◽  
Multi Objective ◽  
Lower Torque ◽  
Fractional Slot

Purpose This paper aims to propose a spoke-type fractional-slot concentrated windings (FSCW) PM machine for EVs driving system to improve torque density. To further improve electromagnetic performance, the multi-objective optimization design is processed based on response surface (RS) model and simulated annealing cuckoo search (SA-CS) algorithm. Design/methodology/approach The spoke-type FSCW PM machine is designed and optimized to meet the requirement of EVs driving system. First, a spoke-type FSCW PM machine is designed and some of key parameters are obtained based on equivalent magnetic circuit (EMC) method. Then, the RS model and modified SA-CS algorithm are proposed to obtain higher torque, lower torque ripple and higher efficiency. Findings After verification by finite element method for no-load and load performance, the optimal machine has higher torque density, lower torque ripple and higher efficiency compared with initial machine. Finally, a 20 kW prototype is manufactured and tested to verify the validity of the proposed optimization design method. Originality/value This paper designs a high torque density spoke-type FSCW PM machine, which is superior for EVs driving system. Meanwhile, a novel modified SA-CS algorithm is applied to the field of electrical machine multi-objective optimal design.

scholarly journals A Review of the Optimization Design and Control for Ocean Wave Power Generation Systems

Energies ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 102
Author(s):  
Juanjuan Wang ◽  
Zhongxian Chen ◽  
Fei Zhang
Keyword(s):  
Power Generation ◽  
Wave Energy ◽  
Optimization Design ◽  
Electrical Energy ◽  
Ocean Waves ◽  
Ocean Wave ◽  
Wave Power ◽  
Optimization Control ◽  
Power Generation Systems ◽  
Wave Power Generation

Ocean wave power generation techniques (converting wave energy into electrical energy) have been in use for many years. The objective of this paper is to review the design, control, efficiency, and safety of ocean wave power generation systems. Several topics are discussed: the current situation of ocean wave power generation system tests in real ocean waves; the optimization design of linear generator for converting ocean wave energy into electrical energy; some optimization control methods to improve the operational efficiency of ocean wave power generation systems; and the current policy and financial support of ocean wave power generation in some countries. Due to the harsh ocean environment, safety is another factor that ocean wave power generation systems will face. Therefore, before the conclusion of this review, a damping coefficient optimization control method based on the domain partition is proposed to improve the efficiency and safety of ocean wave power generation systems.

Multi-objective optimization design of engine crankshaft bearing

2016 ◽  
Vol 68 (1) ◽  
pp. 86-91 ◽  
Author(s):  
Jun Sun ◽  
Lei Shu ◽  
Xianhao Song ◽  
Guangsheng Liu ◽  
Feng Xu ◽  
...  
Keyword(s):  
Internal Combustion Engine ◽  
Power Loss ◽  
Optimization Design ◽  
Combustion Engine ◽  
Internal Combustion ◽  
Multi Objective Optimization ◽  
Content Type ◽  
Multi Objective ◽  
Engine Crankshaft ◽  
Bearing System

Purpose – This paper aims to use the crankshaft-bearing system of a four-cylinder internal combustion engine as the studying object, and develop a multi-objective optimization design of the crankshaft-bearing. In the current optimization design of engine crankshaft-bearing, only the crankshaft-bearing was considered as the studying object. However, the corresponding relations of major structure dimensions exist between the crankshaft and the crankshaft-bearing in internal combustion engine, and there are the interaction effects between the crankshaft and the crankshaft-bearing during the operation of internal combustion engine. Design/methodology/approach – The crankshaft mass and the total frictional power loss of crankshaft-bearing s are selected as the objective functions in the optimization design of crankshaft-bearing. The Particle Swarm Optimization algorithm based on the idea of decreasing strategy of inertia weight with the exponential type is used in the optimization calculation. Findings – The total frictional power loss of crankshaft-bearing and the crankshaft mass are decreased, respectively, by 26.2 and 5.3 per cent by the multi-objective optimization design of crankshaft-bearing, which are more reasonable than the ones of single-objective optimization design in which only the crankshaft-bearing is considered as the studying object. Originality/value – The crankshaft-bearing system of a four-cylinder internal combustion engine is taken as the studying object, and the multi-objective optimization design of crankshaft-bearing based on the crankshaft-bearing system is developed. The results of this paper are helpful to the design of the crankshaft-bearing for engine. There is universal significance to research the multi-objective optimization design of crankshaft-bearing based on the crankshaft-bearing system. The research method of the multi-objective optimization design of crankshaft-bearing based on the crankshaft-bearing system can be used to the optimization design of the bearing in the shaft-bearing system of ordinary machinery.

Multi-objective optimization of quarter car passive suspension design in the frequency domain based on PSO

2016 ◽  
Vol 33 (5) ◽  
pp. 1422-1434 ◽  
Author(s):  
Herbert Martins Gomes
Keyword(s):  
Frequency Domain ◽  
Optimization Design ◽  
Heuristic Algorithms ◽  
Computational Effort ◽  
Multi Objective Optimization ◽  
Content Type ◽  
Passive Suspension ◽  
Multi Objective ◽  
Suspension Parameters ◽  
Quarter Car

Purpose – The purpose of this paper is to investigate the optimum design of a quarter car passive suspension system using a particle swarm optimization algorithm in order to minimize the applied loads and vibrations. Design/methodology/approach – The road excitation is assumed as zero-mean random field and modeled by single-sided power spectral density (PSD) based on international standard ISO 8608. The variance of sprung mass displacements and variance of dynamic applied load are evaluated by PSD functions and used as cost function for the optimization. Findings – The advantages in using this methodology are emphasized by an example of the multi-objective optimization design of suspension parameters and the results are compared with values reported in the literature and other gradient based and heuristic algorithms. The paper shows that the algorithm effectively leads to reliable results for suspension parameters with low computational effort. Research limitations/implications – The procedure is applied to a quarter car passive suspension design. Practical implications – The proposed procedure implies substantial time savings due to frequency domain analysis. Social implications – The paper proposes a procedure that allows complex optimization designs to be feasible and cost effective. Originality/value – The design optimization is performed in the frequency domain taking into account standard defined road profiles PSD without the need to simulate in the time domain.

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