State Estimation for Kite Power Systems with Delayed Sensor Measurements * *This research was supported by the Swiss National Science Foundation (Synergia) No. 141836 and the Swiss Commission for Technology and Innovation (CTI)
| Autor: | Tony A. Wood, Henrik Hesse, Max Polzin, Roy S. Smith |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Robot kinematics Engineering Estimation theory business.industry 020209 energy Estimator 02 engineering and technology Kinematics Kalman filter 7. Clean energy Electric power system 020901 industrial engineering & automation Control and Systems Engineering Inertial measurement unit Position (vector) Control theory 0202 electrical engineering electronic engineering information engineering business Simulation |
| Zdroj: | IFAC-PapersOnLine. 50:11959-11964 |
| ISSN: | 2405-8963 |
| DOI: | 10.1016/j.ifacol.2017.08.1176 |
| Popis: | We present a novel estimation approach for airborne wind energy systems with ground-based control and energy generation. The estimator fuses measurements from an inertial measurement unit attached to a tethered wing and position measurements from a camera as well as line angle sensors in an unscented Kalman filter. We have developed a novel kinematic description for tethered wings to specifically address tether dynamics. The presented approach simultaneously estimates feedback variables for a flight controller as well as model parameters, such as a time-varying delay. We demonstrate the performance of the estimator for experimental flight data and compare it to a state-of-the-art estimator based on inertial measurements. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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