Compared with traditional electric machines, switched reluctance machines exhibit a significant improvement on production, robustness and efficiency. However, some inherent drawbacks of those kinds of machines such as...
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ISBN:
(纸本)9780889868939
Compared with traditional electric machines, switched reluctance machines exhibit a significant improvement on production, robustness and efficiency. However, some inherent drawbacks of those kinds of machines such as noise and high torque ripple at low speed have to be well managed. In the last years, some dedicated control strategies to overcome the high torque ripple of switched reluctance machines have been proposed, where an accurate mathematical model is often necessary. In this paper, a novel Mod-elica library for physical modeling of switched reluctance machines is addressed. Both linear and nonlinear models of switched reluctance machines are regarded. By using physical modeling approach with Modelica language, the maximal reusability, flexibility and range of modelling can be ensured. Furthermore, fundamental control units both for current based controller design and direct torque controller design are also incorporated into the library. The Modelica switched reluctance machine library allows quick virtual prototyping and simulation of a switched reluctance machine with various relevant controller. One application example with a 16 stator 12 rotor poles 4 phase switched reluctance machine is presented to illustrate the use of the developed Modelica switched reluctance machine library.
This paper presents a novel Modelica library for physical modeling of switched reluctance machines. In order to deal with the nonlinear characteristics of switched reluctance drives, an analytical approximation functi...
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ISBN:
(纸本)9789881925121
This paper presents a novel Modelica library for physical modeling of switched reluctance machines. In order to deal with the nonlinear characteristics of switched reluctance drives, an analytical approximation function is applied when building a motor model. Furthermore, the look-up table based approach derived by the finite element method for computing the nonlinear model is also considered. Compared with other modeling approaches, physical modeling using the object-oriented modeling language-Modelica often exhibits a significant progress regarding model reusability, flexibility and range of modeling. One application example with a 16 stator 12 rotor poles 4 phase witched reluctance machine is presented to illustrate the use of the developed Modelica switched reluctance machine library.
This paper describes the design of a manual flight controller, based upon nonlinear model-based control laws. These control laws include the previously developed concept of Pseudo control Hedging (PCH). This PCH algor...
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We present a new approach for the synthesis of robust fault detection filters for the model based diagnosis of actuator faults. The underlying synthesis model is a linear pa- rameter varying (LPV) description obtained...
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Permanent magnet synchronous motors (PMSMs) produce a parasitic oscillating torque due to several reasons. This contribution cancels the oscillating torque with adaptive control algorithms. Therefore a mathematical mo...
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Permanent magnet synchronous motors (PMSMs) produce a parasitic oscillating torque due to several reasons. This contribution cancels the oscillating torque with adaptive control algorithms. Therefore a mathematical model of the PMSM is necessary. A model with nonlinear dynamics and a Fourier approach for the ripples is used as a mathematical description. Through comparisons between measured data and simulated data it is shown that the model assumptions are valid. The adaptive algorithm is implemented as an add-on controller to the already existing controlsystem which consists of a feedforward part and a basis controller. The challenge is that the closed loop system has a resonant frequency and the algorithm should have the same performance for all frequencies. Experimental results show the performance and convergence of the adaptive algorithm at constant and non constant velocity.
Abstract Robots are often run with permanent magnet synchronous motors (PMSM) with a high ratio gearbox. Both parts can produce parasitic oscillations (ripples), which let the robot shake at tool center point. The gea...
Abstract Robots are often run with permanent magnet synchronous motors (PMSM) with a high ratio gearbox. Both parts can produce parasitic oscillations (ripples), which let the robot shake at tool center point. The gearbox ripple problem is more complicated to be solved with control theory because only motor side sensors should be used. Due to the internal model principle gearbox side information is necessary to solve the problem. The first algorithm uses an observer to get gearbox side information where the second algorithm uses a gearbox side rate sensor. The algorithms are tested with a nonlinear SISO problem and with a nonlinear MIMO system. In both cases the ripples are canceled with an adaptive controller which estimates the phase and magnitude of the ripple. This adaptive controller is designed separately and is added to the existing basis controller. The algorithms are tested in simulation and on a testbed, which is an industrial application.
This paper introduces a multi-level power quality assessment approach towards virtual testing of more electric aircraft. Three levels with increasing accuracies are rough, approximated and exact power quality assessme...
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This paper introduces an optimization based approach towards steady-state analysis of switched power electronic systems. The convergence performance of the optimization is improved by the estimation of the state varia...
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ISBN:
(纸本)9781424474639
This paper introduces an optimization based approach towards steady-state analysis of switched power electronic systems. The convergence performance of the optimization is improved by the estimation of the state variables in steady-state. Accurate state variable estimation can be achieved by previously simulating a set of multi-resolution approximations - averaged models of the original topological model using generalized averaging technique. An unified harmonic state space representation for a wide class of power electronic systems is presented to allow automatical generation of the averaged models with selective approximation accuracy. The proposed approach that has been implemented in Dymola is demonstrated by a pulse width modulated buck converter.
In this paper, a health monitoring problem for the electrical network of more electric aircraft is addressed. To undertake the health monitoring task, the multi‐model detection technique is applied. Multi‐model base...
In this paper, a health monitoring problem for the electrical network of more electric aircraft is addressed. To undertake the health monitoring task, the multi‐model detection technique is applied. Multi‐model based approach associates to each health status a corresponding linear time invariant model which is derived by adjusting appropriately the non‐faulty system model to a particular fault situation. The original health monitoring problem can be therefore formulated as a model detection problem. Besides the introduction of the theoretical preliminary of multi‐model based approach, the computer‐aided design process, right‐sized modelling and realtime simulation based validation for residual generator with Dymola and Matlab are also discussed. Health monitoring for an input filter of an DC motor drive serves as an application case to illustrate the proposed scheme. The designed residual generators are validated on the original nonlinear system with time‐domain simulation.
The development of future more electric aircraft systems is a challenging process: The respective subsystems are highly integrated to achieve an optimum efficiency and performance both at aircraft and at systems level...
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The development of future more electric aircraft systems is a challenging process: The respective subsystems are highly integrated to achieve an optimum efficiency and performance both at aircraft and at systems level. For master this multi-disciplinary challenge, the use of powerful modeling and simulation technologies such as Modelica in all phases of the system development process is a key success factor. In this paper, a novel Modelica signal analysis tool-Modelica Scope that is suitable for the virtual testing activities in the verification and validation phase is presented. The Modelica Scope tool is implemented in the Modelica language incorporating diverse signal measurement and analysis capabilities and can be easily integrated in all simulation environments supporting Modelica such as Dymola, SimulationX etc. The motivation, design concept as well as implementation and distinct features of the tool are discussed and illustrated.
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