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Fuzzy Neural Network PID–based constant deceleration compensation device for the brakes of mining hoists
Advances in Mechanical Engineering ( IF 2.1 ) Pub Date : 2020-07-06 , DOI: 10.1177/1687814020937568
Chi Ma 1 , Suzhi Tian 1 , Xinming Xiao 1 , Yuqiang Jiang 1
Affiliation  

In comparison with constant torque brakes, constant deceleration brakes are more advantageous for the safety of mining hoists, but complete set of such products manufactured by big companies are not what ordinary mining enterprises can afford. As an alternative solution, this article develops a constant deceleration compensation device, which adds the function of constant deceleration brake onto the original brakes. Control strategy based on Fuzzy Neural Network PID is investigated and simulated with the combination of AMEsim and Simulink. An actual device is built and tested in real industrial field. The application illustrates the feasibility of this constant deceleration compensation device, which can achieve constant decelerations within a very short time. This device will prevent dangerous decelerations from happening to hoists at a much lower cost, and greatly improve the safety and reliability of mining hoists.



中文翻译:

基于模糊神经网络PID的矿用提升机制动器恒减速度补偿装置

与恒定扭矩制动器相比,恒定减速制动器在采矿葫芦的安全性方面更具优势,但是大公司生产的此类产品的全套产品是普通采矿企业所无法承受的。作为替代解决方案,本文开发了一种恒定减速度补偿装置,该装置将恒定减速度制动器的功能添加到原始制动器上。结合AMEsim和Simulink对基于模糊神经网络PID的控制策略进行了研究和仿真。在实际的工业领域中构建并测试了实际的设备。该应用说明了这种恒定减速度补偿装置的可行性,该装置可以在很短的时间内实现恒定减速度。

更新日期:2020-07-06
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