الفهرس 
Introduction and Thesis ScopeOnly 14 pages are availabe for public view
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Abstract
The dependence of producing electricity using conventional fossil fuel power plants becomes more challenging due to the increase of power demands and the large industries, despite the existence of other energy sources. Consequently, this required new control strategies to over come the production shortages caused by the intermittency of the renewable sources in addition to the inherent complexities of power plants such as the existence of deadtime associated with solid fuels. Poor control performances generated by using the traditional Proportional Integral Derivative-PID control technique during high load changes have always been a concern. Controlling a convention a plant is very challenging. Because the plant is very sophisticated in its mechanical behavior which reflects on the mathematical representations of the model parts. We need to control the behavior of the plant to maintain stability on the out put and keeping into account the noises,non-linearities, and disturbances that could affect the system performance. This research will investigate the effect of using modern control techniques on conventional steam boilers for producing electrical power. When it comes to control system design requirements, it is important to focus on developing solutions to optimize the overall control processes. In this thesis, we developed and created a new control system design that can successfully deliver an increase in reliability to the process, as well as improving the system efficiency and productivity will also move forward. The accomplished approach also confirms existing control system diagrams to verify that they are still representative of the actual processes and systems. This detailed information is then used as the basis to design a new control system. Overall, the scope is to develop a control design of integrated control systems Model Predictive Control-MPC which is a self tuning system. Its adopts the receding horizon concept in order to maintain the process stability. In this thesis, a model system for a conventional steam boiler power plant is first developed. This system is divided into sub models as follows: the drum model, the super-heaters,turbine model,and combustion model. Second part is the approaches methodology of MPC which ensures that the objectives for the required amount of producing power on a satisfied time is satisfied. The integration of more than one type of Model Predictive Control (MPC) in order to self-tune a control logic which are applying on a boiler model is done. Not only the produced approaches can approximate the unknown tuned control logic model, but also they build a dynamical model of the boiler, and appropriate control law for maintaining high quality of the process. Finally,combustion model performance is modeled in order to have control on the excess oxygen output from the boiler furnace stake using Linear Quadratic Regulator (LQR) with observer design, while also optimizing the drum pressure and drum level.