Model-based approach for elevator performance estimation
| Autor: | I. Isasa, Aitzol Iturrospe, Ekaitz Esteban, Oscar Salgado |
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| Rok vydání: | 2016 |
| Předmět: |
Test bench
Engineering Observer (quantum physics) Elevator business.industry Mechanical Engineering 020208 electrical & electronic engineering 010401 analytical chemistry Aerospace Engineering 02 engineering and technology Ride quality Kalman filter 01 natural sciences 0104 chemical sciences Computer Science Applications Acceleration Control and Systems Engineering Control theory Signal Processing 0202 electrical engineering electronic engineering information engineering business Encoder Simulation Civil and Structural Engineering Machine control |
| Zdroj: | Mechanical Systems and Signal Processing. :125-137 |
| ISSN: | 0888-3270 |
| DOI: | 10.1016/j.ymssp.2015.07.005 |
| Popis: | In this paper, a dynamic model for an elevator installation is presented in the state space domain. The model comprises both the mechanical and the electrical subsystems, including the electrical machine and a closed-loop field oriented control. The proposed model is employed for monitoring the condition of the elevator installation. The adopted model-based approach for monitoring employs the Kalman filter as an observer. A Kalman observer estimates the elevator car acceleration, which determines the elevator ride quality, based solely on the machine control signature and the encoder signal. Finally, five elevator key performance indicators are calculated based on the estimated car acceleration. The proposed procedure is experimentally evaluated, by comparing the key performance indicators calculated based on the estimated car acceleration and the values obtained from actual acceleration measurements in a test bench. Finally, the proposed procedure is compared with the sliding mode observer. |
| Databáze: | OpenAIRE |
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