Modern electric machine drives, particularly three phase permanent magnet machine drive systems represent an indispensable part of high power density products. Such products include; hybrid electric vehicles, large propulsion systems, and automation products. Reliability and cost of these products are directly related to the reliability and cost of these systems. The compatibility of the electric machine and its drive system for optimal cost and operation has been a large challenge in industrial applications. The main objective of this dissertation is to find a design and control scheme for the best compromise between the reliability and optimality of the electric machine-drive system. The effort presented here is motivated by the need to find new techniques to connect the design and control of electric machines and drive systems. A highly accurate and computationally efficient modeling process was developed to monitor the magnetic, thermal, and electrical aspects of the electric machine in its operational environments. The modeling process was also utilized in the design process in form finite element based optimization process. It was also used in hardware in the loop finite element based optimization process. The modeling process was later employed in the design of a very accurate and highly efficient physics-based customized observers that are required for the fault diagnosis as well the sensorless rotor position estimation. Two test setups with different ratings and topologies were numerically and experimentally tested to verify the effectiveness of the proposed techniques. The modeling process was also employed in the real-time demagnetization control of the machine. Various real-time scenarios were successfully verified. It was shown that this process gives the potential to optimally redefine the assumptions in sizing the permanent magnets of the machine and DC bus voltage of the drive for the worst operating conditions. The mathematical development and stability criteria of the physics-based modeling of the machine, design optimization, and the physics-based fault diagnosis and the physics-based sensorless technique are described in detail. To investigate the performance of the developed design test-bed, software and hardware setups were constructed first. Several topologies of the permanent magnet machine were optimized inside the optimization test-bed. To investigate the performance of the developed sensorless control, a test-bed including a 0.25 (kW) surface mounted permanent magnet synchronous machine example was created. The verification of the proposed technique in a range from medium to very low speed, effectively show the intelligent design capability of the proposed system. Additionally, to investigate the performance of the developed fault diagnosis system, a test-bed including a 0.8 (kW) surface mounted permanent magnet synchronous machine example with trapezoidal back electromotive force was created. The results verify the use of the proposed technique under dynamic eccentricity, DC bus voltage variations, and harmonic loading condition make the system an ideal case for propulsion systems.

The use of brushless motors has increased in recent years due to superior performance characteristics compared with alternatives. The operation of a brushless motor is dependent upon a separate controller which is often in the form of a printed circuit board. As such, the size and performance capability of the controller can restrict the performance of the overall motor control system so advancements of these controllers further the potential use of BLDC motors. This project outlines the design of a PCB based, sensorless motor controller for operation of a three-phase BLDC motor powered by a 24 V, high current external supply. Components used were selected to withstand an ambient temperature environment of 125 degrees C. The design for this PCB based motor control system was completed but fabrication and testing of the system was prevented by COVID-19 related restrictions that prohibited the use of necessary facilities and equipment. The detailed design including component selection, board layout, and software development is included in addition to a plan for fabrication and fundamental functional testing. Although no results are available for analysis to bring about any conclusions, a variety of design strategies and corresponding learnings hold the potential to be a source of valuable reference to the further study and development of future designs.

This thesis deals with position control of movable solenoid core without using a distance sensor. There are several methods of sensorless position estimation presented in theoretical part. The method based on measurement of ripple current is chosen for experiments. Firstly, it is verified by simulations with mathematical model of solenoid. After that, the experiment is created. The goal is position control based on sensorless method.

The thesis deals in the control of the BLDC motor. At first, there is a brief introduction of BLDC motor, in the next chapters are explained possible methods of control. The next part of the thesis deals with the platform STM32, on which the control algorithm is implemented. For the thesis a program for sensor and sensorless control of BLDC motor has been created. In the conclusion, the process of voltage and current has been measured, using the created algorithm.

The diploma thesis is focused on comparison of sensored and sensorless control of 3phase BLDC motor. This diploma thesis was compiled with engineers from Honeywell, spol. s r. o. and NXP Semiconductors comapny. Theoretical part of the diploma thesis is describing princip of function BLDC motor and different methods of control. The testing of NXP sensored and sensorless application is done in the practical part. Regarding to the fact, that applications were provided by NXP, furthemore the diploma thesis additionally contains a state machine using sensorless application from NXP. Finally, the author is evaluating a cooperation with NXP company and he thinks about next possible cooperation.

This diploma thesis is focused on sensorless DC motor control based on its mathematical model. This solution will be used for Honyewell actuators (type ML5410 and N10010/N05010). The aim of this thesis is to find out if there is a possibility to use this type of motor control for future to replace the existing type of motor control using Hall sensor for measuring speed of motor.

The goal of this thesis is to deal with comparison of algorithms in the field of sensorless control of permanent magnet synchronous motor. It is focused mainly on deterministic methods of estimation, verification of their dynamic responses and the influence of parasitic effects. Implementation of selected algortihms on DSP in fractional arithmetic with verification by Processor-in-the-loop method is described in second part. The last part describes use of algorithms on real drive.

This thesis deals with the design and implementation of the electronic speed controller for a BLDC motor that will be used in a quadcopter. The first part of the thesis explains the methods of control and sensorless commutation respectively. The following part describes the design of the hardware controller. The control firmware was programmed and debugged for this controller.

This thesis is focused on the sensorless control of BLDC motor using the Extended Kalman filter. In the first section, process of EKF implementation for estimating rotor speed and electrical angle is described. For this estimation, EKF uses non-linear BLDC motor model and some measurement containing random noise. Second part deals with designing methodology to measure and estimate the quality of BLDC motor sensorless control. Best results were achieved with total current entering power electronics ripple analyzation. In the last section, several BLDC sensorless control algorithms were evaluated.

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