Neural control for a field of concentrator heliostats

Today the world is facing a huge problem because of energy scarcity. Many alternative options are being developed. Solar energy has been proved to be a very promising alternative, but manychallenges are to be solved to do the advancements in this sector. Towardsthis, we develop an approach by doing the neural control for a field ofconcentrator heliostats. We have done use ofadvanced techniques like Extended Kalman Filter (EKF), Particles Swarm Optimization (PSO), Recursive High Order Neural Networks (RHONN) andSliding Modes Control to achieve the goal. PSO is used to initialize the parameters for the EKF. The performances of the above techniques are illustrated through simulation.