As the demand of the wind energy increase, investigations focus on maximizing the energy extraction and efficiency through the design of key components such as blades, gearboxes, generators, etc and implementation of advanced control strategies. This paper focuses on a new application of nonlinear, feedback optimal control strategy to Wind Energy Conversion Systems (WECS) with Permanent Magnet Synchronous Generators (PMSG) for the case of incomplete state information. In particular, a finite-horizon nonlinear control technique based on State Dependent Riccati Equation (SDRE) for the design of a closed-loop, optimal controller is applied. This technique based on integrating the Kalman filter algorithm and the finite-horizon State Dependent Differential Riccati Equation (SD-DRE) technique. Simulation results for the PMSG - WECS are given to illustrate the effectiveness of the technique.
|Original language||English (US)|
|Number of pages||6|
|State||Published - Oct 18 2016|
|Event||3rd International Conference on Control, Decision and Information Technologies, CoDIT 2016 - Saint Julian's, Malta|
Duration: Apr 6 2016 → Apr 8 2016
|Other||3rd International Conference on Control, Decision and Information Technologies, CoDIT 2016|
|Period||4/6/16 → 4/8/16|