Multiobjective Design Optimization Using Dual-Level Response Surface Methodology and Booth's Algorithm for Permanent Mag...Published: 01 June 2018 by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Energy Conversion
This paper studies a dual-level response surface methodology (DRSM) coupled with Booth's algorithm using a simulated annealing (BA-SA) method as a multiobjective technique for parametric modeling and machine design optimization for the first time. The aim of the research is for power maximization and cost of manufacture minimization resulting in a highly optimized wind generator to improve small power generation performance. The DRSM is employed to determine the best set of design parameters for power maximization in a surface-mounted permanent magnet synchronous generator with an exterior-rotor topology. Additionally, the BA-SA method is investigated to minimize material cost while keeping the volume constant. DRSM by different design functions including mixed resolution robust design, full factorial design, central composite design, and box-behnken design are applied to optimize the power performance resulting in very small errors. An analysis of the variance via multilevel RSM plots is used to check the adequacy of fit in the design region and determines the parameter settings to manufacture a high-quality wind generator. The analytical and numerical calculations have been experimentally verified and have successfully validated the theoretical and multiobjective optimization design methods presented.
Global sizing optimisation using dual-level response surface method based on mixed-resolution central composite design f...Published: 01 May 2018 by Institution of Engineering and Technology (IET) in IET Electric Power Applications
An innovative natural air-cooling system technique for temperature-rise suppression on the permanent magnet synchronous ...Published: 01 January 2018 by Elsevier BV in Electric Power Systems Research
Load identification of different Halbach-array topologies on permanent magnet synchronous generators using the coupled f...Published: 01 January 2018 by Elsevier BV in Electric Power Systems Research
A COMPARATIVE STUDY OF QUASI-FEA TECHNIQUE ON IRON LOSSES PREDICTION FOR PERMANENT MAGNET SYNCHRONOUS MACHINESPublished: 01 January 2018 by EMW Publishing in Progress In Electromagnetics Research C
This paper utilizes a Pareto-based, three-dimensional (3-D) analysis to identify complete and partial shading of photovoltaic (PV) systems for an complicated urban environment, where unusual shape of PV and installation topology is studied. The Pareto optimization attempts to minimize losses in a certain area with an improved output energy and without compromising the overall efficiency of the system of which, the nominal operating cell temperature (NOCT) for a glass/glass-module is considered as a significant parameter. The system is referenced to the environment based on IEC61215 via a closed-circuit and resistive load to ensure the module operates at the maximum power point. A Maximum Power Point Tracking (MPPT) controller is enhanced with an advanced perturb and observe (P&O) algorithm to maintain the PV operating point at its maximum output under various working conditions. The most cost-effective design of the PV module is achieved via optimizing installation parameters such as tilt angle, pitch, and shading to improve the energy yield. The parameter settings and suitability of the design are also determined based on the reduced amount of CO2 emissions. An experimental investigation has been carried out to verify the 3-D shading analysis and NOCT technique for both open-circuit and grid-connected PV modules.
This research presents a rotor shape multi-level-objective optimization designed to reduce the mechanical stress distribution in the rotor core of a double-stator permanent magnet synchronous motor. The second objective is weight minimization performed via a response surface methodology (RSM) with a uniform precision central composite design (UP-CCD) function. The optimal operation point, with a substantial population size, is reached using a Monto Carlo algorithm on the fitted model. The goodness-of-fit for the model is evaluated based on the modified Akaike information criterion (AICc) and the Bayesian information criterion (BIC) with a linear regression approach. To achieve these goals, a multi-level design procedure is proposed for the first time in machine design engineering. All the electromagnetic forces of the machine such as normal, tangential, and centrifugal forces are calculated using 3-D transient finite element analysis (FEA). The outcome of the proposed rotor core optimization shows that the finalized shape of the studied core has significantly smaller weight and mechanical stress, while the electromagnetic performance of the machine has remained consistent with a pre-optimized machine.
Optimal Pole Number for Magnetic Noise Reduction in Variable Speed Permanent Magnet Synchronous Machines with Fractional...Published: 01 January 2018 by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Transportation Electrification
Iron Loss Prediction Using Modified IEM-Formula during the Field Weakening for Permanent Magnet Synchronous MachinesPublished: 05 December 2017 by MDPI in Machines
During field weakening operation time (FWOT), the total iron loss rises and affects the accuracy of loss prediction and efficiency, especially if a large range of FWOT exists due to a large voltage drop that was rooted from the resistance of the used material. Iron loss prediction is widely employed in investigations for a fast electrical machine analysis using 2D finite element analysis (FEA). This paper proposes harmonic loss analytically by a steady-state equivalent circuit with a novel procedure. Consideration of skin effects and iron saturation are utilized in order to examine the accuracy through the relative error distribution in the frequency domain of each model from 50 to 700 Hz. Additionally, this comparative study presents a torque-frequency-field density calculation over each single term of the modified institute of electrical machines formula (IEM-Formula). The proposed analytical calculation is performed using 2D FEA for a classic and modified IEM-Formula along with experimental verifications on a surface-mounted permanent magnet synchronous generator (PMSG) for a wind generation application.
Electromagnetic-based evaluation of different Halbach array topologies with gap consideration for the permanent magnet s...Published: 13 November 2017 by Springer Nature in Electrical Engineering
Iron Loss Prediction Using Modified IEM-Formula during the Flux Weakening for Permanent Magnet Synchronous MachinesPublished: 24 October 2017 by MDPI (Preprints) in ENGINEERING
During flux weakening operation time (FWOT), the total iron loss rises and affects the accuracy of loss prediction and efficiency especially if a large range of FWOT exists. Iron loss prediction is widely employed in investigations for a fast electrical machine analysis using 2-D FEA. This paper studies harmonic loss analytically by a steady-state equivalent circuit. Consideration of skin effects and iron saturation are utilized in order to examine the accuracy through the relative error distribution in the frequency domain of each model from 50 to 700 Hz. Additionally, this comparative study presents a torque-frequency-flux density calculation over each single term of the modified IEM-formula. The analytical calculation is performed using 2-D FEA for a classic and modified IEM-formula along with experimental verifications on a surface-mounted PMSG for a wind generation application.
Design of High-Speed PM Synchronous Motor—Thermal and Mechanical Analyzes Study for Aerospace Retraction Wheel Motor App...Published: 28 April 2016 by David Publishing Company in Journal of Energy and Power Engineering
Losses Calculation of an Aerospace Retraction Wheel Motor with Regarding to Electromagnetic-Field Analysis InvestigationPublished: 28 March 2016 by David Publishing Company in Journal of Energy and Power Engineering