POWER QUALITY CONTROL AND COMMON-MODE NOISE MITIGATION FOR INVERTERS IN ELECTRIC VEHICLES

Inverters are widely utilized in electric vehicle (EV) applications as a major voltage/current source for onboard battery chargers (OBC) and motor drive systems. The inverter performance is critical to the efficiency of EV system energy conversion and electronics system electro-magnetic interference (EMI) design. However, for AC systems, the bandwidth requirement is usually low compared with DC systems, and the control impact on the inverter differential-mode (DM) and common-mode (CM) performance are not well investigated. With the wide-band gap (WBG) device era, the switching capability of power electronics devices drastically improved. The DM/CM impact that was brought by the WBG device-based inverter becomes more serious and has not been completely understood. This thesis provides an in-depth analysis of on-board inverter control strategies and the corresponding DM/CM impact on the EV system. The OBC inverter control under vehicle-to-load (V2L) mode will be documented first. A virtual resistance damping method minimizes the nonlinear load harmonics, and a neutral balancing method regulates the unbalanced load impact through the fourth leg. In the motor drive system, a generalized CM voltage analytical model and a current ripple prediction model are built for understanding the system CM and DM stress with respect to different modulation methods, covering both 2-level and 3-level topologies. A novel CM EMI damping modulation scheme is proposed for 6-phase inverter applications. The performance comparison between the proposed methods and the conventional solution is carried out. Each topic is supported by the corresponding hardware platform and experimental validation

Measurements, Models, Systems and Design

531 s.

Direct Torque Control of Five-Phase Induction Motor Using Space Vector Modulation with Harmonics Elimination and Optimal Switching Sequence

In this paper an effective direct torque control (DTC) for a 5-phase induction motor with sinusoidally distributed windings is developed. First by coordinate transformation, the converter/motor models are represented by two independent equivalent d-q circuit models; and the 5-phase VSI input are decoupled into the torque producing and non-torque producing harmonics sets. Then with the torque production component of the induction motor model, the space vector modulation (SVM) can be applied to the five-phase induction motor DTC control, resulting in considerable torque ripple reduction over the lookup table method. Based on the decoupled system model, the current distortion issue due to lack of back EMF for certain harmonics is analyzed. Two equally effective SVM schemes with the harmonic cancellation effect are introduced to solve this problem. To analyze the DTC control torque ripple, an insightful perspective (also applicable to 3-phase analysis) is introduced to predict the torque ripple pattern evolution with changing motor speed and stator flux angular position. Therefore the switching sequence for lowest torque ripple can be determined and re-arranged online. Finally, with the overall optimal switching scheme adopted, detailed simulations verify the effectiveness of the new control

Control analysis and design of medium voltage converter with multirate techniques

This work aims to unify the current knowledge about multirate controllers with design techniques for grid-tied converters, in this occasion, connected to Medium Voltage AC grid. Therefore, the multirate contributions, that have been given so far, are studied, as well as everything related to modulation techniques for power converters. The temporal implications of the DSPWM actuator will be correlated to multirate analysis, in addition to possible alternatives for applications with a lower sampling frequency than modulation one. Finalizing with explanations and result demonstrations of controllers working between two frequencies or rates, by means of the available power converter in laboratory.Este trabajo pretende unir el conocimiento actual sobre controladores multitasa o multifrecuencia (multirate) con técnicas de diseño para convertidores conectados a la red, en este caso concreto, a la red alterna (AC) de Media Tensión. Por tanto, se estudian las contribuciones multirate realizadas hasta la fecha, así como todo lo relacionado con la modulación de la señal de control para los convertidores. Las implicaciones temporales del actuador DSPWM se relacionarán con el análisis multitasa, así como se explicarán posibles alternativas para aplicaciones con una frecuencia de muestreo menor que la de modulación. Finalizando con la explicación y presentación de resultados de controladores trabajando entre dos frecuencias o tasas, mediante simulaciones del convertidor disponible en laboratorio.Máster Universitario en Ingeniería Industrial (M141

Torque Control

This book is the result of inspirations and contributions from many researchers, a collection of 9 works, which are, in majority, focalised around the Direct Torque Control and may be comprised of three sections: different techniques for the control of asynchronous motors and double feed or double star induction machines, oriented approach of recent developments relating to the control of the Permanent Magnet Synchronous Motors, and special controller design and torque control of switched reluctance machine

Modulation, efficiency and lifetime of two-level and multilevel converters for a hydropower application

Along with the integration of the renewable energy in the electrical grid, the pumped-storage hydropower has gained more and more attention due to its fast response and energy storage ability. To have a higher overall efficiency and more flexibility of the system, variable speed is preferred in the operation of the pumped-storage hydropower applications. The key component for the variable speed pumped-storage hydropower application is the full-size power converter, which is the main study object in this work.Different converter topologies, such as the two-level converter, the neutral point clamped converter, and the modular multilevel converter, have been investigated in this study. The simulation and experimental results verify the feasibility of the studied modulation and control methods for different converter topologies. The nine-level modular multilevel converter needs four times the amount of the power modules compared with the two-level converter, not to mention the extra submodule capacitors and arm inductors in the nine-level modular multilevel converter. However, the nine-level modular multilevel converter shows the best efficiency of 99.37% at nominal power in the loss study, while the classical two-level converter shows an efficiency of 98.44%. At the end, a lifetime study is conducted for power switches inside a modular multilevel converter, and it is found that with the used semiconductors design, i.e., the semiconductors have an RMS current value that of half of its stated maximum value, the lifetime requirement of 30 years can always be fulfilled

Closed-Loop Drive Detection and Diagnosis of Multiple Combined Faults in Induction Motor Through Model-Based and Neuro-Fuzzy Network Techniques

In this paper, a fault detection and diagnosis approach adopted for an input-output feedback linearization (IOFL) control of induction motor (IM) drive is proposed. This approach has been employed to detect and identify the simple and mixed broken rotor bars and static air-gap eccentricity faults right from the start its operation by utilizing advanced techniques. Therefore, two techniques are applied: the model-based strategy, which is an online method used to generate residual stator current signal in order to indicate the presence of possible failures by means of the sliding mode observer (SMO) in the closed-loop drive. However, this strategy is not able to recognise the fault types and it can be affected by the other disturbances. Therefore, the offline method using the multi-adaptive neuro-fuzzy inference system (MANAFIS) technique is proposed to identify the faults and distinguish them. However, the MANAFIS required a relevant database to achieve satisfactory results. Hence, the stator current analysis based on the HFFT combination of the Hilbert transform (HT) and Fast Fourier transform (FFT) is applied to extract the amplitude of harmonics due to defects occur and used them as an input data set for the MANFIS under different loads and fault severities. The simulation results show the efficiency of the proposed techniques and its ability to detect and diagnose any minor faults in a closed-loop drive of IM

Voltage-source-inverters with legs connected in parallel

The number of applications that require the use of power converters has been continually increasing in the last years on account of environmental and economical concerns. The power to be processed by these converters has been growing too. These applications include uninterruptible power supplies, motor drives, and distributed generation, such as solar photo-voltaic panels and wind turbines. The rated power of such converters can be raised by increasing the output currents. This can be chieved by connecting converter, converter legs or power devices in parallel. The connection of legs in parallel in a voltage ource inverter is made by means of inductors, hich can be either magnetically coupled or uncoupled. One of the issues that needs to be addressed is achieving an even contribution to the output current from all the legs. Current imbalances are due to circulating currents among the legs which must be avoided or controlled since they produce additional losses and stress to the power devices of the converter. An efficient technique to attain such a balance is presented in this thesis. The balancing technique achieves the objective regardless of the type of inductors used. In spite of the afore mentioned issues, the potential benefits of paralleling converter legs make their use a worthwhile option. Some of the additional benefits of paralleling are the improvement in the total harmonic distortion of the output current and voltage and the reduction of the output filters. Besides, inverters with legs connected in parallel are modular and because of that, their production and maintenance become less expensive. Moreover, they qualify for the implementation of fault-tolerant techniques thus offering the possibility to achieve systems with improved overall reliability. Interleaving of the carriers can be used to modulate the reference signals for each leg, which leads to a reduction in the output current ripple without resorting to increasing the switching frequency. A whole set of shifted carriers is required if interleaved pulse-width modulators are used. Implementing this by means of a digital signal processor (DSP) means that the higher the number of carriers, the higher the number of DSP timing resources required. Provided that the latter are usually limited, this could be a drawback when increasing the number of interleaved carriers. In this thesis the implementation of a pulse-width modulation (PWM) scheme where all modulators use the same carrier offering the same results as if a set of n interleaved carriers were used is presented. Since the proposed algorithm takes maximum benefit from the PWM units available in a DSP, a higher number of legs connected in parallel can be controlled without adding any external processing hardware. In multiphase voltage source inverters with n interleaved parallel-connected legs, the best single-phase output voltage is achieved when the carriers are evenly phase shifted. However, switching among nonadjacent levels can be observed at regular intervals in the line-to-line voltages, causing bad harmonic performance. This thesis includes a novel implementation of PWM that improves the quality of the line-to-line output voltages in interleaved multiphase voltage-source inverters. With the proposed method, switching in the line-to-line voltages happens exclusively between adjacent levels. The modulator utilizes two sets of n evenly phase-shifted carriers that are dynamically allocated. Because of its generality, the proposed implementation is valid for any number of phases and any number of legs in parallel. All the modulation and control algorithms proposed in this thesis have been firstly simulated on Matlab/Simulink models, and then experimentally corroborated on a low power laboratory prototype.El número de aplicaciones que requiere del uso de convertidores de potencia ha crecido de forma regular en los últimos años debido a cuestiones económicas y ambientales. Entre ellas se incluyen fuentes de alimentación ininterrumpibles, accionamientos de motores y sistemas de generación distribuida, como paneles fotovoltaicos o turbinas eólicas. La potencia nominal de dichos convertidores puede aumentarse incrementando las corrientes de salida. Esto puede lograrse mediante la conexión en paralelo de: semiconductores, ramas de convertidor o convertidores. La conexión en paralelo de las ramas de un inversor con fuente de tensión se efectúa mediante inductancias, que pueden estar magnéticamente acopladas o no. Una de las cuestiones que hay que lograr es una contribución equitativa a la corriente de salida por parte de todas las ramas. Los desequilibrios se deben a las corrientes que circulan entre las ramas y que deben evitarse, o controlarse, pues causan solicitaciones y pérdidas adicionales en los dispositivos de potencia del convertidor. En esta tesis se presenta una técnica eficiente para conseguir dicho equilibrio. Dicha técnica es efectiva independientemente del tipo de bobinas utilizado. A pesar de las cuestiones mencionadas, los beneficios de la conexión de ramas en paralelo las convierte en una opción a considerar. Entre sus beneficios adicionales se encuentran la mejora en la distorsión armónica total de las tensiones y corrientes de salida y la reducción de los filtros de salida. Además, los convertidores con ramas en paralelo son modulares y, de este modo, su producción y mantenimiento resulta más económico. Es más, son ideales para la implantación de técnicas tolerantes a fallos, lo que permite obtener sistemas con una mejor fiabilidad global. Para la modulación de las señales de cada rama pueden utilizarse técnicas de entrelazado de las portadoras, lo que conduce a un menor rizado en la corriente de salida sin tener que recurrir a mayores frecuencias de conmutación. Si se usan moduladores de anchura de pulso entrelazados, se necesita un conjunto de señales portadoras desplazadas. La implantación de esto mediante un procesador digital de señal (DSP) implica que a mayor número de portadoras, mayor será el número de recursos de temporización del DSP que se necesiten. Dado que estos últimos son normalmente limitados, esto podría ser un inconveniente cuando se quiera incrementar el número de portadoras entrelazadas. En esta tesis se presenta la implementación de un esquema de modulación de anchura de pulso (PWM) en el que todos los moduladores usan una misma portadora y que ofrece el mismo resultado que si se utilizara todo un conjunto de portadoras entrelazadas. Como el algoritmo propuesto saca el mejor provecho de las unidades de PWM disponibles en el DSP, se podría controlar un mayor número de ramas en paralelo sin necesidad de ninguna circuitería externa adicional. En inversores con fuente de corriente polifásicos con n ramas conectadas en paralelo, la mejor tensión de fase de salida se obtiene cuando las portadoras están desfasadas por igual. Sin embargo, se observan transiciones entre niveles de salida no adyacentes en las tensiones de línea a intervalos regulares, lo que ocasiona malas prestaciones armónicas. Esta tesis incluye una novedosa implementación de PWM que mejora la calidad de la tensión de línea en inversores con fuente de tensión. Con el método propuesto, las transiciones en las tensiones de línea se producen únicamente entre niveles de tensión adyacentes. El modulador utiliza dos conjuntos de n Portadoras regularmente desfasadas cuyo uso se va asignando de forma dinámica. Dada su formulación genérica, la implementación propuesta es válida para cualquier número de fases y cualquier número de rama

Microprocessor based signal processing techniques for system identification and adaptive control of DC-DC converters

PhD ThesisMany industrial and consumer devices rely on switch mode power converters (SMPCs) to provide a reliable, well regulated, DC power supply. A poorly performing power supply can potentially compromise the characteristic behaviour, efficiency, and operating range of the device. To ensure accurate regulation of the SMPC, optimal control of the power converter output is required. However, SMPC uncertainties such as component variations and load changes will affect the performance of the controller. To compensate for these time varying problems, there is increasing interest in employing real-time adaptive control techniques in SMPC applications. It is important to note that many adaptive controllers constantly tune and adjust their parameters based upon on-line system identification. In the area of system identification and adaptive control, Recursive Least Square (RLS) method provide promising results in terms of fast convergence rate, small prediction error, accurate parametric estimation, and simple adaptive structure. Despite being popular, RLS methods often have limited application in low cost systems, such as SMPCs, due to the computationally heavy calculations demanding significant hardware resources which, in turn, may require a high specification microprocessor to successfully implement. For this reason, this thesis presents research into lower complexity adaptive signal processing and filtering techniques for on-line system identification and control of SMPCs systems. The thesis presents the novel application of a Dichotomous Coordinate Descent (DCD) algorithm for the system identification of a dc-dc buck converter. Two unique applications of the DCD algorithm are proposed; system identification and self-compensation of a dc-dc SMPC. Firstly, specific attention is given to the parameter estimation of dc-dc buck SMPC. It is computationally efficient, and uses an infinite impulse response (IIR) adaptive filter as a plant model. Importantly, the proposed method is able to identify the parameters quickly and accurately; thus offering an efficient hardware solution which is well suited to real-time applications. Secondly, new alternative adaptive schemes that do not depend entirely on estimating the plant parameters is embedded with DCD algorithm. The proposed technique is based on a simple adaptive filter method and uses a one-tap finite impulse response (FIR) prediction error filter (PEF). Experimental and simulation results clearly show the DCD technique can be optimised to achieve comparable performance to classic RLS algorithms. However, it is computationally superior; thus making it an ideal candidate technique for low cost microprocessor based applications.Iraq Ministry of Higher Educatio