O objetivo deste trabalho é o desenvolvimento do modelo de uma microturbina a gás do tipo split-shaft com sistema de controle por retro-alimentação. Uma revisão bibliográfica dos trabalhos sobre controle de turbinas a gás indicou que praticamente inexistem trabalhos focando este tipo de turbina. O modelo foi desenvolvido a partir da geometria básica da turbina, aplicando-se os fundamentamentos de termodinâmica, mecânica newtoniana e mecânica dos fluidos mencionando os usos da primeira lei da termodinâmica, teoria de momento angular e atrito viscoso entre outros. O trabalho descreve os componentes, materiais e controles que podem ser usados em uma turbina split-shaft. O modelo foi simulado primeiramente sem controle e posteriormente com controle. Através dos resultados da simulação do modelo sem controle puderam ser vistos fenômenos que podem ocorrer em um sistema desse tipo como picos de temperatura, influência de uma turbina sobre a outra e a variação de injeção de combustível devido à variação de pressão na câmara de combustão entre outros. Para o modelo controlado, foram testados os controles PI, PID, PI-D, I-PD e PI-PD com feedback negativo. A escolha dos parâmetros de cada controle foi determinada pelo método ITAE dentro de um intervalo para cada parâmetro. O controle escolhido foi o PI-D por seu melhor desempenho e maior simplicidade. O controle fez com que as temperaturas de pico abaixassem em relação ao sistema sem controle e a rotação do gerador de energia elétrica foi mantida com uma variação máxima menor que 1% em relação à rotação de referência. Uma modelagem foi feita para um sistema lubrificante seguindo os mesmos princípios da modelagem da turbina split-shaft. Usou-se fundamentos de mecânica newtoniana e mecânica dos fluidos, com o equacionamento da conservação da quantidade de movimento, perdas de pressão localizada e distribuída entre outros. O modelo foi simulado primeiramente sem controle e posteriormente com controle. Através do modelo sem controle viu-se os efeitos do aumento da perda de carga em um dos ramos do sistema e os efeitos de uma entrada de referência em degrau. Esses efeitos são as variações das perdas no sistema e a variação do fluxo nos ramos do sistema. Para o modelo controlado foram testados os controles PI e PI-D com feedback negativo. Utilizou-se o método ITAE dentro de um intervalo para escolha dos parâmetros. O controle escolhido foi o PI porque a diferença de desempenho não foi significativa e a parte derivativa poderia tornar o erro maior devido à forma como o sistema foi modelado. A variável de processo foi controlada e os efeitos da variação de perda de carga em um dos ramos do sistema pôde ser observada. Os modelos são constituídos de várias partes simples, cada qual pode ser substituída por um modelo mais preciso. Assim, a modelagem funciona como um guia, mostrando as partes principais do sistema e podendo fornecer dados para a elaboração de novos modelos. / The objective of the present work is the development of the model of a split-shaft micro gas turbine with feed back control system. A bibliographical review of the works on control of gas turbines indicated that there are very few works dealing this type of gas turbines. The model was developed starting from the basic geometry of the turbine and applying the fundamentals of thermodynamics, newtonian mechanics and fluid mechanics. The components, materials and controls which can be used in a split-shaft turbine are described. The model is simulated firstly without control and later with control. The results showed that, for the uncontrolled model, typical phenomena which may happen in this type of system are seen such as temperature peaks, influence of one turbine on the other and fuel injection variation due to combustion chamber pressure variation amongst others. For the controlled model, the controls PI, PID, PI-D, I-PD and PI-PD with negative feedback are tested. The parameters choice of each control is determined by the ITAE method within an interval for each parameter. The PI-D control was chosen for its best performance and simplicity. The control made the peak temperatures lower than the uncontrolled system and the electricity generator rotation error was kept under 1% with respect to the reference value. A modeling is done for a lubrification system following the same principles of the split-shaft turbine modeling. Conservation laws of mechanics and fluid mechanics are used, such as momentum conservation and energy conservation equations (pressure loss). The model is simulated firstly without control and later with control. For the uncontrolled model, the effects on increasing the head loss in one branch of the system and the effects for a step reference was showed. These effects are the variations of system losses and the flow variation in the system branches. For the controlled model, the PI and PI-D controls with negative feedback were tested. The parameters choice of each control is determined by the ITAE method within an interval for each parameter. The PI control was chosen because the performance difference was not significant and the derivative part could turn the error bigger due to the way the system was modelled. The process variable was controlled and the effects on the variation head loss in one of the system branches was observed. The models have many simple parts; each one can be replaced by a more complex one if necessary. Thus, the present modeling may be used as guide for future improvements.

To control the exhaust gas recirculation (EGR) and the exhaust brake, the position of a butterfly valve connected to a piston inside a pneumatic cylinder is controlled by altering the pressure inside the cylinder. This thesis evaluates the possibility to do this with pulse width modulation (PWM) controlled On/Off valves. The whole electro-pneumatic actuator system is built out of two On/Off valves and a cylinder. A mathematical model of the system is constructed. The complete system model on state space form consists of nine states and is nonlinear. The model captures the dynamics of the system. The statics of the system is not captured as accurately. The model is still good enough to be used as aid when developing control strategies, since position feedback is available. Automatic control strategies for the system are first developed and tested in simulation. The first approach is PID control. Because of the nonlinear properties of the system the results from a PID with a constant proportional part is unsatisfactory. To cope with the nonlinearities, a fuzzy controller is constructed; the results prove somewhat better, but not as good as expected due to implementation difficulties. In a test bench the system is controlled by a P controller with feedforward from position. The feedforward strongly reduces the nonlinear behavior of the system. With this implementation the results that were hoped for with the fuzzy controller are reached.

In Scania’s single speed engines for industrial and marine use, the engine speed is controlled by a PI-controller. This controller is tuned independent of engine type and application. This brings certain disadvantages since the engines are used in a wide range of applications where the dynamics may differ. In this thesis, the possibility to tune the controller automatically for a specific engine installation has been investigated. The work shows that automatic tuning is possible. By performing an identification experiment on the engine, the parameters in a first order model describing the dynamics of the engine and the load aggregate are determined. The control parameters are then determined as functions of the model parameters. Measurements on a generator set show that the proposed method provides a controller which is able to follow changes in the reference value, and to compensate for load disturbances. / I Scania’s envarvsmotorer för industri- och marin-bruk regleras varvtalet av en PI-regulator. Denna regulator är inställd oberoende av motortyp och applikation. Detta medför vissa nackdelar då motorerna används i flera olika typer av applikationer där dynamiken kan variera. I detta arbete har det undersökts huruvida det är möjligt att automatiskt ställa in parametrarna i en PID-regulator för en enskild motorinstallation. Arbetet visar att automatisk inställning är möjlig. Genom att göra ett identifieringsexperiment på motorn bestäms parametrarna i en första ordningens modell som beskriver dynamiken för den aktuella konfigurationen av motor och belastande aggregat. Därefter bestäms regulatorparametrarna som funktion av modellparametrarna. Mätningar på ett generatoraggregat visar att man med hjälp av den föreslagna metoden erhåller en inställning av regulatorn som både klarar av att följa börvärdesförändringar och kompensera för laststörningar.

As the development of highways, it is quite normal for buses running in a speed around 100km/h. When buses are running in a high speed, they may suffer from the influence of side wind disturbances at anytime. Sometimes, it may result in traffic accidents. Therefore, the study of bus stability under side wind disturbances becomes more and more important. Due to restrictions of real tests, computer simulation can be used to study this subject. The bus side wind response character is reflected through the driver’s manoeuvre , so open-loop analysis is hard to give a comprehensive evaluation of the side wind stability of the bus. Therefore, closed-loop analysis is studied in this thesis. An ADAMS bus model and a side wind force model are developed in this thesis, along with two driver models, the PID control model and the preview curvature model. The driver models are built in Simulink and co-simulation between ADAMS/View and Simulink is conducted. The results of co-simulation show that the two driver models can both control the bus from deviating from the desired course under side wind disturbances. The PID control model is simple and shows a very good control effect. The maximum lateral displacement of the bus by PID control model is just 0.0205m under maximum side wind load 1000N and 2500Nm when preview time is 1.2s, while it is 0.0702m by preview curvature model, however, it is difficult to determine the coefficients Kd, Kp, and Ki in the PID controller. The preview curvature model also shows a good control effect in terms of the maximum lateral displacement and yaw angle of the bus. Comparing these two models, the PID control model is more sensitive to deviations, with quicker response and larger steering input. The bus model system is stable under side wind disturbances. Through driver ’s proper steering manoeuvre, the bus is well controlled. The closed-loop analysis is a good method to study the bus stability under side wind disturbances.

This thesis demonstrates how small wind turbines can contributeto a greener planet by using wind energy to generateelectrical power. It compares the conventional PIDcontroller with the Fuzzy PID controller, implemented ina small wind turbine that was constructed using variousmachines. The concept of changing the gain parameters of the PIDcontroller with fuzzy logic, depending on the wind directionfor greater power generation, is explained and tested. This,with usage of a DC-motor that gets an output signal fromthe system which reads input values from an encoder anda wind vane. The construction included a powertrain inwhich a transmission, roller bearings and shafts were implementedin the yaw mechanism. The tests resulted in showing that the Fuzzy PID controllerperformed better, minimizing the error, when theerror between the wind turbine and the wind itself, wassmall. The power generation was also increased when utilizingthe Fuzzy PID controller. However, the PID controllerperformed similar to the Fuzzy PID controller whenexposed to larger errors. / Det här arbetet visar hur små vindkraftverk kan bidra tillen grönare planet genom att omvandla vindenergi till elektriskenergi. Det beskriver jämförelsen mellan den vanligtförekommande PID regulatorn och den suddiga PID regulatorn,implementerad i ett litet vindkraftverk som konstruerades med hjälp av flertalet maskiner. Konceptet att ändra på parametrarna i PID regulatorn med hjälp av suddig logik, beroende på vindriktningen, förklaras och testas med syfte att generera energi. Dettamed hjälp av en DC-motor som får utsignaler från systemet som läser insignaler från en encoder och en vindflöjt. Konstruktionen av rotatonsmekanismen innehöll implementation av en växel, kullager och axlar. Testresultaten visade att den suddiga PID regleringenvar bättre på att minimera felet, när felet mellan vindkraftverket och vinden var litet. Även vid generering av energi,visade det sig att den suddiga PID regleringen presterade bättre. Likväl presterade PID regulatorn på samma nivå som den suddiga, när felet var större.

In this thesis, a full design, development and application of an autonomous robotic automation system using vision feedback is performed. To realize this system, a cylindrical manipulator configuration is implemented, using a personal computer (PC) based PID controller from National Instruments. Full autonomous control will be achieved via a programmable human machine interface (HMI) developed on a PC using Borland C++ Builder. The vision feedback position control is accomplished using an ordinary "off-the-shelf" web camera. The manuscript is organized as follows; After Chapter 1, an introduction to automation history and its role in the manufacturing industry, Chapter 2 discusses and outlines the development of the robotic kinematics and dynamics of the system. A control strategy is also developed and simulated in this chapter. Chapter 3 discusses color image processing and shows the development of the algorithm used for the vision feedback position control. Chapter 4 outlines the system development, which includes the hardware and software. Chapter 5 concludes with a summary, and improvement section. The process used as a basis for the design and development of this thesis of this thesis topic was constructed from a manual capacitor orientation check test station. A more detailed definition and objective is presented in the introduction.

Vehicle Suspension is an important sub-system in an automobile as it is directly related to the subjective qualities of ride comfort that the passengers perceive. A vehicle suspension works by insulating the driver and the passengers from the irregularities of the road. Moreover, a suspension is required to ensure the tires properly contact the surface for adequate traction. This study aims to analyze whether a damper that is made out of two individual dampers joined together can be used to provide better ride comfort and better road handling with appropriate control strategies and if this damper can work more effectively than a single semi-active damper / Master of Science / A car's suspension is crucial for a smooth ride and passenger comfort, as it absorbs bumps and keeps your tires in contact with the road. This research looks at a new type of shock absorber made of two connected parts to see if it improves ride comfort and handling compared to the traditional single shock absorber. We'll explore how this new design, along with smart control methods, might make driver and passenger comfort better.

Vision-based object stabilisation is an exciting and challenging area of research, and is one that promises great technical advancements in the field of computer vision. As humans, we are capable of a tremendous array of skilful interactions, particularly when balancing unstable objects that have complex, non-linear dynamics. These complex dynamics impose a difficult control problem, since the object must be stabilised through collaboration between applied forces and vision-based feedback. To coordinate our actions and facilitate delivery of precise amounts of muscle torque, we primarily use our eyes to provide feedback in a closed-loop control scheme. This ability to control an inherently unstable object by vision-only feedback demonstrates an exceptionally high degree of voluntary motor skill. Despite the pervasiveness of vision-based stabilisation in humans and animals, relatively little is known about the neural strategies used to achieve this task. In the last few decades, with advancements in technology, we have tried to impart the skill of vision-based object stabilisation to machines, with varying degrees of success. Within the context of this research, we continue this pursuit by employing the classic Cart Inverted Pendulum; an inherently unstable, non-linear system to investigate dynamic object balancing by vision-only feedback. The Inverted Pendulum is considered to be one of the most fundamental benchmark systems in control theory; as a platform, it provides us with a strong, well established test bed for this research. We seek to discover what strategies are used to stabilise the Cart Inverted Pendulum, and to determine if these strategies can be deployed in Real-Time, using cost-effective solutions. The thesis confronts, and overcomes the problems imposed by low-bandwidth USB cameras; such as poor colour-balance, image noise and low frame rates etc., to successfully achieve vision-based stabilisation. The thesis presents a comprehensive vision-based control system that is capable of balancing an inverted pendulum with a resting oscillation of approximately ±1º. We employ a novel, segment-based location and tracking algorithm, which was found to have excellent noise immunity and enhanced robustness. We successfully demonstrate the resilience of the tracking and pose estimation algorithm against visual disturbances in Real-Time, and with minimal recovery delay. The algorithm was evaluated against peer reviewed research; in terms of processing time, amplitude of oscillation, measurement accuracy and resting oscillation. For each key performance indicator, our system was found to be superior in many cases to that found in the literature. The thesis also delivers a complete test software environment, where vision-based algorithms can be evaluated. This environment includes a flexible tracking model generator to allow customisation of visual markers used by the system. We conclude by successfully performing off-line optimization of our method by means of Artificial Neural Networks, to achieve a significant improvement in angle measurement accuracy. / Goodrich Engine Control Systems and Balfour Beatty Rail Technologies

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