Design and indirect adaptive fuzzy H∞ control of a novel retarder coupled with eddy current effect and MR effect

2020 ◽  
pp. 1045389X2096318
Author(s):  
Xiaoqin Xu ◽  
Tianyu Zhu ◽  
Shumei Chen ◽  
Cheng Wang
Keyword(s):  
Eddy Current ◽  
High Speed ◽  
Control Process ◽  
Constant Speed ◽  
Current Effect ◽  
Adaptive Fuzzy ◽  
Eddy Current Effect ◽  
Full Speed ◽  
Braking Process ◽  
Mr Effect

To improve the poor braking performance of the traditional eddy current retarder, a novel retarder is developed by coupling the eddy current effect and the magnetorheological effect, which has large torque at low speed and stable torque at high speed. To meet the constant speed requirement in the braking process, the indirect adaptive fuzzy H∞ control strategy is employed to control the rotor speed of the designed retarder. The results show that the proposed retarder has the characteristics of continuously adjustable large torque in full speed section, sensitive control process and constant speed intelligent control.

Intelligence Monitor and Diagnosis to High Speed Brushes Aeration Mechanics Based on Turbulent Flow Displacement Sensing Theory

2010 ◽  
Vol 426-427 ◽  
pp. 191-196
Author(s):  
H.I. Liu ◽  
X.P. Li ◽  
Yan Nian Rui ◽  
Ying Ping He
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Eddy Current ◽  
High Speed ◽  
Current Effect ◽  
Vibration Signals ◽  
Flow Displacement ◽  
Eddy Current Effect ◽  
Artificial Neural ◽  
Main Spindle

High Speed Brushes Aeration Mechanics are the effective aeration equipments which are widely used in the environmental protection. Because of the big span of main spindle and its high speed when it is working, the breakdown sometimes occurs. It is very importance to monitor its condition and diagnose its breakdowns. Turbulent Flow Displacement Sensors are the non-contact types which are based on eddy current effect. It has many advantages, such as good linearity, wide frequency response scope, convenience installment and so on. So it is very suitable for the main spindle’s vibration signals of a high speed brushes aeration mechanic are monitored. With the development of Artificial Neural Networks technology, the equipment breakdown diagnosis has realized intellectualization. The recognition of equipment failure types is one of the most important studying domains of Artificial Neural Networks at present. Based on the research of eddy current effect and Artificial Neural Networks, we build up a test system which can monitor condition and diagnose breakdown to a GSB-12 high speed brushes aeration mechanic. With the help of it, the vibration signals of the measurement points on the main spindle are measured at two mutually vertical positions. The signals’ base frequency and multiplicative frequency are taken as characteristic value. Six common breakdowns are selected and to be taken as the standard sample and there are 3 lays in the neural network. Using FBP algorithm, we get a satisfied effect. The experiment has confirmed that this method is advanced, reliable and practical. It provides a new method about intelligent monitor and breakdown diagnosis to high speed brushes aeration mechanics’ condition.

scholarly journals Resonant Diaphragm Liquid Density Sensor

2011 ◽  
Vol 1 ◽  
pp. 121-124
Author(s):  
Yu Xiao Zhang ◽  
Xian Quan Zeng ◽  
Xin Jie Wang
Keyword(s):  
Residual Stress ◽  
Eddy Current ◽  
Processing Technology ◽  
Liquid Density ◽  
Current Effect ◽  
Eddy Current Effect

This paper designs a resonant diaphragm liquid density sensor. From the reality, a resonant diaphragm is designed and manufactured. Processing technology on resonant diaphragm is studied and improved through compensating elastic error, and eliminating residual stress. Incentive coil is designed using the eddy current effect.

scholarly journals Research on Absolute Positioning Sensor Based on Eddy Current Reflection for High-Speed Maglev Train

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5167
Author(s):  
Xiaobo Hong ◽  
Jun Wu ◽  
Yunzhou Zhang ◽  
Yongxiang He
Keyword(s):  
Eddy Current ◽  
High Speed ◽  
The Novel ◽  
Maglev Train ◽  
Compact Structure ◽  
Absolute Positioning ◽  
Eddy Current Effect ◽  
Speed Range ◽  
The Impact ◽  
Detection Coil

A novel absolute positioning sensor for high-speed maglev train based on eddy current effect is studied in this paper. The sensor is designed with photoelectric switch and four groups of unilateral coplanar code-reading detection coil combination. The photoelectric switch realizes the positioning of the marker plate, and the four groups of detection coils read the mileage code of the mileage sign plate to obtain the absolute mileage information of the vehicle, which effectively reduces the quality and volume of the sensor, and reduces the impact of ice and snow. At the same time, the code-reading reliability and speed adaptability index are proposed. The code-reading reliability of the sensor is analyzed and tested under the fluctuation of levitation guidance, and the positioning error under the speed range of 0–600 km/h is calculated and analyzed. The results show that the novel sensor has the advantages of simple and compact structure. It still satisfies the system’s requirements for absolute vehicle mileage information under the conditions of vehicle operating attitude fluctuations and changes in the full operating speed range.

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