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Dissertation
Year: 2022 Publisher: Liège Université de Liège (ULiège)
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This Master’s Thesis aims to produce a tubular permanent magnet actuator (TPMA) design capable of replacing the hydraulic dampers present in active train suspensions. This design needs to be optimised to provide the best possible performance. In the first part of this thesis, a state of the art of the available TPMA topologies is presented as well as their operating principle. In the second part the analytical model of each topology is developed in order to obtain the behaviour of the magnetic flux within each actuator. This model contains the solution of the Laplace and Poisson equations from Maxwell’s equations. The specific boundary conditions for each of the topologies are exposed in order to obtain the specific solutions. Then the results are compared in order to keep the best topology for the rest of the thesis. The third part is devoted to the modelling of the thrust produced by the actuator. The thrust produced by the actuator is dependent on the type of current injected. Thus three types of current are compared: single-phase, two-phase and three-phase. The fourth part concerns the optimisation of the actuator design. In a first step, the optimisation is done by the particle swarm optimisation (PSO) method. This first optimisation has only one objective, to maximise the thrust produced by the actuator. The dimensions to be optimised are the radii of the actuator and the pole pitch of the magnets. In a second step, a new objective, that of minimising the force variation, is added to the optimisation. This multi-objective optimisation problem is solved using a method derived from PSO: vector evaluated particle swarm optimisation. Finally, the different designs obtained by the two optimisations are compared. The last part is devoted to the presentation of some improvements that could be made to the analytical model of the actuator to make it even more accurate.
Book
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute
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This Special Issue deals with improvements in the energy efficiency of electric devices, machines, and drives, which are achieved through improvements in the design, modelling, control, and operation of the system. Properly sized and placed coils of a welding transformer can reduce the required iron core size and improve the efficiency of the welding system operation. New structures of the single-phase field excited flux switching machine improve its performance in terms of torque, while having higher back-EMF and unbalanced electromagnetic forces. A properly designed rotor notch reduces the torque ripple and cogging torque of interior permanent magnet motors for the drive platform of electric vehicles, resulting in lower vibrations and noise. In the field of modelling, the torque estimation of a Halbach array surface permanent magnet motor with a non-overlapping winding layout was improved by introducing an analytical two-dimensional subdomain model. A general method for determining the magnetically nonlinear two-axis dynamic models of rotary and linear synchronous reluctance machines and synchronous permanent magnet machines is introduced that considers the effects of slotting, mutual interaction between the slots and permanent magnets, saturation, cross saturation, and end effects. Advanced modern control solutions, such as neural network-based model reference adaptive control, fuzzy control, senseless control, torque/speed tracking control derived from the 3D non-holonomic integrator, including drift terms, maximum torque per ampere, and maximum efficiency characteristics, are applied to improve drive performance and overall system operation.
History of engineering & technology --- interior permanent magnet synchronous motor --- torque ripple --- cogging torque --- electric vehicle --- notch --- mathematical model --- Halbach Array --- surface permanent magnet --- magnetic vector potential --- torque --- in-wheel electric vehicle --- independent 4-wheel drive --- torque distribution --- fuzzy control --- traction control --- active yawrate control --- energy efficiency --- industry --- water circuits --- OpenModelica --- optimisation --- induction motor --- speed estimation --- model reference adaptive system --- kalman filter --- luenberger observer --- flux switching machine --- modular rotor --- non-overlap winding --- magnetic flux analysis --- iron losses --- copper loss --- stress analysis --- finite element method --- magnetic loss --- maximum efficiency (ME) characteristic --- maximum torque per ampere (MTPA) characteristic --- modeling --- permanent magnet synchronous machine (PMSM) --- sensorless control --- synchronous machines --- dynamic models --- nonlinear magnetics --- parameter estimation --- DC-DC converter --- resistance spot welding --- transformer --- efficiency --- dynamic power loss --- design --- induction machines --- nonlinear control --- torque/speed control
Book
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute
Abstract | Keywords | Export | Availability | Bookmark
Loading...Choose an application
- Reference Manager
- EndNote
- RefWorks (Direct export to RefWorks)
This Special Issue deals with improvements in the energy efficiency of electric devices, machines, and drives, which are achieved through improvements in the design, modelling, control, and operation of the system. Properly sized and placed coils of a welding transformer can reduce the required iron core size and improve the efficiency of the welding system operation. New structures of the single-phase field excited flux switching machine improve its performance in terms of torque, while having higher back-EMF and unbalanced electromagnetic forces. A properly designed rotor notch reduces the torque ripple and cogging torque of interior permanent magnet motors for the drive platform of electric vehicles, resulting in lower vibrations and noise. In the field of modelling, the torque estimation of a Halbach array surface permanent magnet motor with a non-overlapping winding layout was improved by introducing an analytical two-dimensional subdomain model. A general method for determining the magnetically nonlinear two-axis dynamic models of rotary and linear synchronous reluctance machines and synchronous permanent magnet machines is introduced that considers the effects of slotting, mutual interaction between the slots and permanent magnets, saturation, cross saturation, and end effects. Advanced modern control solutions, such as neural network-based model reference adaptive control, fuzzy control, senseless control, torque/speed tracking control derived from the 3D non-holonomic integrator, including drift terms, maximum torque per ampere, and maximum efficiency characteristics, are applied to improve drive performance and overall system operation.
interior permanent magnet synchronous motor --- torque ripple --- cogging torque --- electric vehicle --- notch --- mathematical model --- Halbach Array --- surface permanent magnet --- magnetic vector potential --- torque --- in-wheel electric vehicle --- independent 4-wheel drive --- torque distribution --- fuzzy control --- traction control --- active yawrate control --- energy efficiency --- industry --- water circuits --- OpenModelica --- optimisation --- induction motor --- speed estimation --- model reference adaptive system --- kalman filter --- luenberger observer --- flux switching machine --- modular rotor --- non-overlap winding --- magnetic flux analysis --- iron losses --- copper loss --- stress analysis --- finite element method --- magnetic loss --- maximum efficiency (ME) characteristic --- maximum torque per ampere (MTPA) characteristic --- modeling --- permanent magnet synchronous machine (PMSM) --- sensorless control --- synchronous machines --- dynamic models --- nonlinear magnetics --- parameter estimation --- DC-DC converter --- resistance spot welding --- transformer --- efficiency --- dynamic power loss --- design --- induction machines --- nonlinear control --- torque/speed control
Book
Year: 2020 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute
Abstract | Keywords | Export | Availability | Bookmark
Loading...Choose an application
- Reference Manager
- EndNote
- RefWorks (Direct export to RefWorks)
This Special Issue deals with improvements in the energy efficiency of electric devices, machines, and drives, which are achieved through improvements in the design, modelling, control, and operation of the system. Properly sized and placed coils of a welding transformer can reduce the required iron core size and improve the efficiency of the welding system operation. New structures of the single-phase field excited flux switching machine improve its performance in terms of torque, while having higher back-EMF and unbalanced electromagnetic forces. A properly designed rotor notch reduces the torque ripple and cogging torque of interior permanent magnet motors for the drive platform of electric vehicles, resulting in lower vibrations and noise. In the field of modelling, the torque estimation of a Halbach array surface permanent magnet motor with a non-overlapping winding layout was improved by introducing an analytical two-dimensional subdomain model. A general method for determining the magnetically nonlinear two-axis dynamic models of rotary and linear synchronous reluctance machines and synchronous permanent magnet machines is introduced that considers the effects of slotting, mutual interaction between the slots and permanent magnets, saturation, cross saturation, and end effects. Advanced modern control solutions, such as neural network-based model reference adaptive control, fuzzy control, senseless control, torque/speed tracking control derived from the 3D non-holonomic integrator, including drift terms, maximum torque per ampere, and maximum efficiency characteristics, are applied to improve drive performance and overall system operation.
History of engineering & technology --- interior permanent magnet synchronous motor --- torque ripple --- cogging torque --- electric vehicle --- notch --- mathematical model --- Halbach Array --- surface permanent magnet --- magnetic vector potential --- torque --- in-wheel electric vehicle --- independent 4-wheel drive --- torque distribution --- fuzzy control --- traction control --- active yawrate control --- energy efficiency --- industry --- water circuits --- OpenModelica --- optimisation --- induction motor --- speed estimation --- model reference adaptive system --- kalman filter --- luenberger observer --- flux switching machine --- modular rotor --- non-overlap winding --- magnetic flux analysis --- iron losses --- copper loss --- stress analysis --- finite element method --- magnetic loss --- maximum efficiency (ME) characteristic --- maximum torque per ampere (MTPA) characteristic --- modeling --- permanent magnet synchronous machine (PMSM) --- sensorless control --- synchronous machines --- dynamic models --- nonlinear magnetics --- parameter estimation --- DC-DC converter --- resistance spot welding --- transformer --- efficiency --- dynamic power loss --- design --- induction machines --- nonlinear control --- torque/speed control
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