Nonlinear optimal control of wind energy conversion systems with incomplete state information using SD-DRE

Ahmed Khamis; Hoa M. Nguyen; D. Subbaram Naidu

doi:10.1109/CoDIT.2016.7593535

Nonlinear optimal control of wind energy conversion systems with incomplete state information using SD-DRE

Ahmed Khamis, Hoa M. Nguyen, D. Subbaram Naidu

Electrical Engineering

Research output: Contribution to conference › Paper › peer-review

3 Scopus citations

Abstract

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)
Pages	59-64
Number of pages	6
DOIs	https://doi.org/10.1109/CoDIT.2016.7593535
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

Other	3rd International Conference on Control, Decision and Information Technologies, CoDIT 2016
Country/Territory	Malta
City	Saint Julian's
Period	4/6/16 → 4/8/16

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10.1109/CoDIT.2016.7593535

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Nonlinear optimal control of wind energy conversion systems with incomplete state information using SD-DRE. / Khamis, Ahmed; Nguyen, Hoa M.; Naidu, D. Subbaram.

2016. 59-64 Paper presented at 3rd International Conference on Control, Decision and Information Technologies, CoDIT 2016, Saint Julian's, Malta.

Research output: Contribution to conference › Paper › peer-review

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abstract = "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.",

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N2 - 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.

AB - 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.

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Nonlinear optimal control of wind energy conversion systems with incomplete state information using SD-DRE

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