The survey from US Department of Energy showed that about one-third of energy consumption in US is due to air conditioning and refrigeration systems. This significant usage of electricity in the HVAC industry has prompted researchers to develop dynamic models for the HVAC components, which leads to implementation of better control and optimization techniques. In this research, efforts are made to model a multi-evaporator system. A novel dynamic modeling technique is proposed based on moving boundary method, which can be generalized for any number of evaporators in a vapor compression cycle. The models were validated experimentally on a commercial supermarket refrigeration unit. Simulation results showed that the models capture the major dynamics of the system in both the steady state and transient external disturbances. Furthermore the use of MEMS (microelectromechanical) based Silicon Expansion Valves (SEVs) have reportedly shown power savings as compared to the Thermal Expansion Valves (TEVs). Experimental tests were conducted on a supermarket refrigeration unit fitted with the MEMS valves to explain the cause of these potential energy savings. In this study an advanced cascaded control algorithm was also designed to control the MEMS valves. The performance of the cascaded control architecture was compared with the standard Thermal Expansion Valves (TEVs) and a commercially available Microstaq (MS) Superheat Controller (SHC). The results reveal that the significant efficiency gains derived on the SEVs are due to better superheat regulation, tighter superheat control and superior cooling effects in shorter time period which reduces the total run-time of the compressor. It was also observed that the duty cycle was least for the cascaded control algorithm. The reduction in duty cycle indicates early shut-off for the compressor resulting in maximum power savings for the cascaded control, followed by the Microstaq controller and then the Thermal Expansion Valves.

La stabilisation et l’automatisation du vol de tout véhicule aérien nécessite la mise en oeuvre d’algorithmes de commande. La synthèse et la simulation des lois de commande reposent sur un modèle mathématique du véhicule, qui doit être de complexité et de précision appropriées. Cette thèse présente une méthodologie complète d’identification appliquée à un hélicoptère coaxialminiature. L’étude théorique de son comportement en vol permet d’établir plusieurs modèles basés sur la mécanique du vol, qui diffèrent par les phénomènes aérodynamiques pris en compte. Ils sont identifiés, comparés et validés grâce à des données de vol, mettant en évidence l’importance de certains phénomènes dans la précision du modèle. Différentes lois de commande sont alors étudiées et évaluées en simulation puis par des expérimentations sur un prototype. Les résultats obtenus sont conformes aux simulations numériques, validant ainsi l’ensemble de la démarche. / Control algorithms are at the heart of the stability and automatic flight capabilities of any aerial vehicle. Synthesis and simulation of control laws are based on a mathematicalmodel of the vehicle, which must be a trade-off between simplicity and accuracy. This work presents a complete system identification methodology applied on a miniature coaxial helicopter. Based on flight mechanics and aerodynamics, several models are built. They differ in the aerodynamic phenomena taken into account. They are identified, compared and validated thanks to flight data, highlighting important phenomena in the accuracy of the model. Several flight control strategies are then studied and evaluated through simulations and experiments with a prototype. The results are in accordance with numerical simulations, thus validating the whole approach.

The Diploma thesis deals with control of three-phase active rectifier and a three-phase DC/AC converter. It also explains phase-locked loop principle. The theoretical part including first three chapters lists several control approaches to three phase active rectifier and three phase DC/AC converter. Described control approaches to the active rectifier are control in dq frame and control in dq UVW frame. Listed control approaches to the DC/AC converter include cascaded control structure and a full state feedback control. The practical part is divided into last three chapters and includes mathematical description of phase-locked loop principle, model of active rectifier controlled in dq frame and a model of DC/AC converter controlled both by a cascaded control and a full¬ state feedback. The models are created in Matlab Simulink.

Wave energy is a promising renewable resource with a higher energy density than both wind and solar. Waves can travel thousands of kilometers with minimal energy loss, making them more reliable than the previously mentioned alternatives. A device that utilizes wave energy to generate electricity is calleda Wave Energy Converter. The converter studied in this thesis is a non-resonant point absorber, a floating device that absorbs energy through its displacement in the water. An incident wave approaching the converter combined with a latching strategy transforms the wave into a water jet, which emerges as a pulse wave and varies from zero to maximum velocity. The kinetic energy of the water jet gets converted to electricity through a Pelton turbine and a permanent magnet synchronous motor that acts as a generator. The thesis investigates three generator velocity control strategies and two deadtime strategies and aims to answer which strategy yields the best efficiency for the selected wave fields. The strategies strive to maximize the efficiency of the Pelton turbine while minimizing the frictional and electrical losses. The first velocity control approach relies on historical data and computes the average based on the previous wavefield. The second approach maintains a predetermined turbine velocity based on the average jet velocity of each incident wave. Lastly, the third strategy continuously adapts the speed during each jet pulse to maximize the Pelton turbine efficiency. The dead-time strategies refer to the approaches employed between waves. The first approach maintainsa constant generator velocity, reducing the necessary acceleration to match the next incident wave. The second approach freewheels the generator, allowing it to decelerate due to friction losses. During the deceleration, the generator draws no current, but as the next wave arrives it must instead accelerate. Consequently, drawing more current but during a shorter period. The results reveal that there is no significant difference between the two deadtime strategies, but there is a significant difference between the velocity control strategies. Furthermore, the results illustrate the effectiveness of the local averaging method and the adaptive control method, which result in the highest system efficiency. / Vågenergi är en lovande energiresurs som har högre energidensitet än både vind- och solkraft. Vågor kan färdas tusentals kilometer med minimal energiförlust,vilket gör dem mer tillförlitliga än de tidigare nämnda alternativen. En anordning som kan nyttja vågors energi för att generera elektricitet kallas för vågenergiomvandlare. Omvandlaren som studerats i detta arbete är en icke-resonant punktabsorbent,vilket är en flytande anordning som absorberar energi genom dess förflyttning i vattnet. När en kommande våg närmar sig omvandlaren transformeras vågen till en vattenstråle, som framträder som en pulsvåg och varierar mellan noll och maxhastighet, via en styrstrategi vid namn ”latching”. Den kinetiska energin från vattenstrålen omvandlas till elektrisk energi via en Peltonturbin och en synkronmotor som agerar som generator. Det här arbetet undersöker tre hastighetsstyrstrategier samt två mellantidsstrategier för generatorn, och ämnar besvara vilken som är den mest effektiva strategin för en uppsättning vågor. Målet med dessa strategier är att maximera effektiviteten hos Peltonturbinen medan friktions- samt elektriska förluster minimeras. Den första hastighetsstyrstrategin håller en konstant hastighetbaserad på ett medelvärde från ett tidigare vågfält. Den andra strategin hålleren konstant hastighet, vilken anpassas till varje inkommande våg. Den tredje strategin anpassar hastigheten kontinuerligt under pulsvågen för att maximera turbineffektiviteten. Med mellantidsstrategierna menas de styrstrategier som nyttjas mellan vattenpulserna. I den första mellantidsstrategin körs generatorn som motor och håller konstant hastighet, vilket minskar de nödvändiga accelerationerna för att möta kommande vågs referenshastighet. Den andra strategin låter generatorn frihjula, vilket gör att hastigheten faller på grund av friktionsförluster. Under hastighetsminskningen drar generatorn ingen ström, men den måste då istället accelerera när kommande våg anländer. Detta innebär att generatorn kommer att dra mer ström, men under en kortare period. Resultaten avslöjade att det inte var någon signifikant skillnad mellan de två mellantidsstrategierna och att det var en signifikant skillnad mellan hastighetsstyrstrategierna. Resultatet visade att de två metoderna med variabel hastighet gav högre systemeffektivitet än metoden med konstant hastighet.