Abstract
As the demand for high-speed elevators grows, the requirements of elevator performance have also developed. The high speed will produce strong airflow disturbances and drastic pressure changes, which is prone to cause passenger discomfort. In this paper, an elevator car air pressure compensation method based on coupling analysis of internal and external flow fields (IE-FF) is proposed. It helps to adaptively track the ideal air pressure curve (IAPC) inside the car and controls the air pressure fluctuation to improve the ride comfort of the elevator. To obtain the air pressure transient value in the elevator car, an IE-FF modeling method is proposed. Based on the IE-FF model, the air pressure compensation system is developed. To realize the air pressure compensation inside the car, an adaptive iterative learning control (A-ILC) algorithm is proposed, to eliminate the passengers’ ear pressing due to the severe air pressure fluctuation. To verify the proposed method, the KLK2 (Canny Elevator Co., Ltd., 2015, Suzhou, China) high-speed elevator is applied. The numerical experiment results show that the proposed method has higher tracking accuracy and convergence speed compared to the classical Proportion Integral Differential (PID) algorithm and the Proportion Integral-iterative learning control (PD-ILC) algorithm.
Highlights
As the demand for a quick elevator speed rises, the high-speed and ultra-high-speed elevators are becoming more and more widely used
The change in the aerodynamic performance can be used for reference by the high-speed elevator car air pressure compensation research
The controller of the PD-iterative learning control (ILC) algorithm is given by Equation (29)
Summary
As the demand for a quick elevator speed rises, the high-speed (running speed between 5 m/s2 to 8 m/s2 ) and ultra-high-speed (running speed larger than 8 m/s2 ) elevators are becoming more and more widely used. The change in the aerodynamic performance can be used for reference by the high-speed elevator car air pressure compensation research. While the existing research on the law of change, adjustment, compensation and control of the air pressure of the high-speed elevator car has been scarce, the relative research methods of the high-speed train can be as references due to the similarity of operating status. To improve the ride comfort of a high-speed elevator, an air pressure compensation system can be applied to actively compensate and adjust the air pressure inside the elevator car, which can effectively eliminate the passengers’ ear pressing due to the severe air pressure fluctuation. Based on the IE-FF coupling variation model, an air pressure compensation system is developed and an adaptive iterative learning control (A-ILC) algorithm is proposed to adjust the air pressure inside the car in real time.
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