Nonlinear Optimal Control for Six-Phase Induction Generator-Based Renewable Energy Systems

The article aims at optimizing six-phase induction generator-based renewable energy systems (6-phase IGs or dual star generators) through a novel nonlinear optimal control method. Six-phase generators appear to be advantageous compared three-phase synchronous asynchronous power generators, in terms of fault tolerance and improved generation rates. dynamic model the generator is first written multivariable state-space form. It proven that this differentially flat. 6-phase IG approximately linearized around temporary operating point recomputed each sampling interval design controller. linearization based on first-order Taylor series expansion Jacobian matrices IG. A stabilizing (H-infinity) feedback controller designed for description gains are computed by solving an algebraic Riccati equation iteration Lyapunov analysis used demonstrate global stability loop. H-infinity Kalman Filter also as robust state estimator, which allows implementing sensorless IG-based systems. method achieves fast accurate tracking setpoints variables IG, under moderate variations inputs.