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Sliding mode controllers (SMC) with time delay and a rotor position observer are designed for the sensorless speed control of permanent magnet synchronous motor (PMSM) are proposed in this paper. Based on field-oriented principle, a flux SMC is designed to achieve quick flux control. And then a speed SMC with time delay is presented and compared with PI controller in the direct torque control framework. The effectiveness of the proposed control scheme under the load disturbance and parameter uncertainties is verified by simulation results.

This thesis presented a sensor-less permanent magnet synchronous motor (PMSM) driver for controlling air-conditioner rotary compressor speed. In this thesis, a quasi-sine pulse-width modulation (PWM) driving method was proposed. Furthermore, the current feedback control scheme and rotor magnet pole position detection were included. The system structure was implemented by using a digital signal processing (DSP) platform. The proposed driving scheme was compared with the square-wave driving without current feedback and six-step square-wave driving method with current feedback. Moreover, the passive and shunt semi-active power factor correction (PFC) technique were researched for the air-conditioner application. Experimental results demonstrated that the system power factor could be improved by the proposed shunt semi-active PFC method. Besides, the proposed sensor-less quasi-sine PWM driving method implemented in an air-conditioner compressor driver was capable of reducing the magnitude of rotational speed ripples, compressor vibration, and system power consumption.

A servo system intended to steer antennas on board ships is designed, built and tested. It uses a Brushless Direct Current (BLDC) motor with an encoder to keep track of its position, and Field Oriented Control (FOC) implemented on Toshibas microprocessor TMPM373 in order to control the current flowing to the motor. The servo system will be connected in cascade to another already existing servo system and controlled with two input signals. The first signal determines if the antenna axis should rotate clockwise or counter clockwise. The second signal is a stream of pulses, where each pulse means that the motor should move one encoder point. A printed circuit board is designed and built to complete these tasks. A proportional-integral regulator is used to control the position of the motor, using the position error as the controller input. The servo system is tested. The performance of the resulting servo system is sufficient to satisfy the required position error limit of 0.5 degrees. In order to reduce the periodic disturbances presented in the system in experiments, Iterative Learning Control (ILC) is implemented. It is shown that using ILC further decreases the position error.

Depuis l'essor des ordinateurs et des capacités de calcul, la conception des composants du génie électrique repose largement sur des simulations informatiques et sur des calculs numériques. Dans les systèmes complexes, où de nombreux composants interagissent pour le bon fonctionnement du système, le dimensionnement optimal du composant dépend nécessairement de son environnement systémique. La conception de celui-ci est fortement liée au fonctionnement du système global. La conception intégré du composant dans son environnement systémique permet ainsi de repousser les limites de l'efficacité énergétique, pour des systèmes plus performants et moins consommateurs. En support à ce contexte méthodologique, nous proposons de dimensionner par optimisation un moteur électrique pour un véhicule hybride dans le but d'améliorer l'efficacité énergétique globale du véhicule. Dans ce travail, nous avons modélisé le moteur électrique par un schéma réluctant, et nous proposons deux approches méthodologiques différentes du même problème. Les points clés de notre approches sont : la prise en compte de l'environnement du moteur, du cycle de fonctionnement et de la gestion de l'énergie du système. / Since the development of computers and calculation capacities, the design of electrical components in electrical engineering is widely based on computing simulations and on numeral calculations. In complex systems, where numerous components interact for the working of the system, the optimal sizing of the component deeply depends on its systemic environment. The design of each component is strongly linked to the functioning of the global system. Therefore, the joint design of the component into its systemic environment allows to improve the efficiency of the system. In this methodological context, we optimize an electric machine for a hybrid vehicle. The aim of this work is to improve the global efficiency of the vehicle. In this work, we build a magnetic circuit model, and we propose two approaches for solving the optimization problem. The key points of this work are : the consideration of the environment of the electrical machine, the driving cycle and the energy management of the system.

During these decades, Permanent Magnet Synchronous Motor (PMSM) has become a vital part of military, industry and civil applications due to the advantages of high power density, high efficiency, high reliability and simple structure, small volume and light weight. Sometimes, multiple PMSMs are used to carry out cooperative functions. For example, the bogie of a locomotive, the flight control surface of an airplane. These PMSMs usually operates at the same speed. To reduce the volume and weight, an idea of sharing the static power conversion devices, which is called Mono-Inverter Multi-PMSM system (MIMPMSM), is raised. Although many researchers have given different controller solutions for the MIMPMSM system, most of them are not clear in the aspects of system stability and efficiency issues. This has become the biggest obstacle to the practical use of MIMPMSM. Oriented with these problems, starting with a MIMPMSM system with 2 motors, in the first step, we have tested some control strategies by an experiment to verify the feasibility and performance of them. In final, based on the experiment data, we have figured that the overconstraint problem exists in some control strategies. Then, an analysis and controller design based on steady-state model of a Mono-Inverter Dual-PMSM (MIDPMSM) system is carried out.By studying the solution existence problem of the steady-state model, we give out the design guideline to the controller structure. Combining the open-loop stability and steady-state solution, the region of controllability and stability is obtained. Lagrange Multiplier is used develop theexpression of efficiency-optimal steady-staterelated to torque and speed. The experiment has shown that the efficiency of the new controller has improved significantly. Meanwhile, we have explored the influence of parameter variation in system stability and efficiency-optimization. The variation will influence the stability region. But its influence can be eliminated by using Master- Slave strategy. On the other hand, in the aspect of efficiency optimization, the simulation results have shown that parameter mismatch, especially the permeant flux, can cause high efficiency loss. In the last step, this controller is also adapted to a MIMPMSM system with more than two motors. The simulation results demonstrate the effectiveness.

The master’s thesis deals with the design of a synchronous motor with embedded magnets. First of all, the general theory of synchronous motor, which is focused on field-weakening drive, is described. Then a 6-pole and a 8-pole version of the motor with embded magnet, which has 65 kW and 3000 rpm is complexly designed. Motors are compared with each other and with a motor with surface magnets, that was also designed in this work. Finally, all motors are compared with a mafufactured and measured motor.

This thesis focuses on the possibilities of application of nonlinear model predictive control for electric drives. Specifically, for drives with a permanent magnet synchronous motor. The thesis briefly describes the properties of this type of drive and presents its mathematical model. After that, a nonlinear model of predictive control and methods of nonlinear optimization, which form the basis for the controller output calculation, are described. As it is used in the proposed algorithm, the Active set method is described in more detail. The thesis also includes simulation experiments focusing on the choice of the objective function on the ability to control the drive. The same effect is examined for the different choices of the length of the prediction horizon. The end of the thesis is dedicated to the comparison between the proposed algorithm and commonly used field oriented control. The computational demands of the proposed algorithm are also measured and compared to the used sampling time.

The goal of this diploma work is to design a control for permanent magnet synchronous motor in sliding mode. The introduction describes a synchronous motor, sensors which are used in the control process as well as power devices. Further, there is description of mathematical model for the synchronous motor. Another part of the diploma work deals with classic vector control for this kind of motor followed by the sliding mode control for the motor. At the end, there is presented an algorithm which has been implemented in the processor designed for this equipment. All the controllers used in the equipment have been tested on motor simulations. In conclusion, there is a target analysis and facts finding.

The submitted Master’s thesis deals with the general principle of the electric drives’ functioning and with the construction of a synchronous electric motor. A comparison of a linear drive and a rotary drive with rack and pinion system is provided, as well as an overview of common type linear drives. A mathematical model of a rotary synchronous motor, the Clark’s and Park’s transformation and the principle of vector control is explained. A method of the linear parameters’ conversion to the rotary equivalents is demonstrated. A block diagram to motor control is designed. The control quality is tested by various criteria. Lastly, there is a simulation provided on how the changes of motor’s parameters affect the control quality.