In many practical applications from the domain of renewable energy the methods used for determining the maximum power point have a simple control logic. A major disadvantage for most methods is given by their low performances characterized by the dependency of the stochastic component, influenced by random environmental changes. Extremal control algorithms, based on robust systems, tolerant to stochastic perturbations, that use PPVO, greatly increase the precision estimation of the point of maximum power generated, therefore of the energy conversion efficiency.

The following solution, that takes into account the price-performance criteria, such as a platform equipped with a horizontal orientation mechanism, is proposed. Thus, the solar irradiation becomes visible on front of 180°C during a day. The advantage of this solution is that the efficiency increases with 24-32%, according to recent statistics, in comparison with a fixed panel.

The project aims to achieve the SINTELPV product which will bring together algorithms for determining the maximum power point (polynomial interpolation algorithm or optimal gradient algorithm), fast identification methods (recursive LSM) for the estimation of PPVO dynamics, and adaptive-robust methods for controlling the orientation of the photovoltaic (PV) panel after the solar irradiation.