The energy sources may be conventional or alternative. Although conventional energy is characterized by low cost, alternative energy gains visibility and among them solar, being clean, quiet and able to adapt to many different places. The big problem in the use of this energy is its low efficiency in converting electrical energy generated from the solar rays. And to make their energy efficiency improve work proposes coupled to a solar panel for guidance of the movements from the sunlight on the surface of the solar cell tracking mechanism to provide this movement was used two servo motors and a system embedded with sensors light (LDR-5mm) directly connected to servo mechanisms. The embedded software using C programming language which allows the determination of the correct position of the solar panel and the use of these mechanisms are expected to collect maximum solar radiation, thereby enhancing the efficiency of the whole apparatus using a low cost.
Complex space missions involving large angle maneuvers and rapid attitude control, require new non-linear control techniques to design the Satellite Control System (SCS) in order to have reliability and adequate performance. In that context, one investigates a new SCS technique based on the State Dependent Riccati Equation (SDRE) methodology which can be considered as an adaptive form of the Linear Quadratic Regulator (LQR) but which allows to deal with the non linearities of the system. A nonlinear mathematical model of a flexible rotatory beam is built through the Lagrangian formulation where the flexible displacement is modelled using the assumed modes theory and a structural damping is added applying the Rayleigh technique. The SDRE controller objectives are to control the hub angular position and simultaneously to damp the flexible displacements. A computational procedure is developed which allows drawing a performance map of the system showing all SDRE reachable performances. Using this control algorithm one can obtain the Pareto's border representing the set of optimal performances. On the other hand, analyzing the influence of the weight matrixes terms, it is shown that it is possible to get the Pareto's border performances using only a few terms of the SDRE weight matrixes. On the basis of this analysis, a control law enabling to get weight matrixes' values as a function of a required performance is developed. Last of all, state dependent weight matrixes are used to show that they can improve the system performance. Based on the results, it turned out that the SDRE's performance is better than the LQR's one, not only because it can deal with non linearities, but also because its design is more flexible and permits to control the rigid-flexible satellite in the same time interval and spending less energy.
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