Open AccessThe distributed system of multipoint daily monitoring of the technical condition of the working equipment of mobile lifts with mast-type work platforms
Author(s) -
Maria S. KOROVINA,
S. K. Korovin
Publication year - 2021
Publication title -
izvestiâ peterburgskogo universiteta putej soobŝeniâ
Language(s) - English
Resource type - Journals
eISSN - 2658-6851
pISSN - 1815-588X
DOI - 10.20295/1815-588x-2021-2-294-302
Subject(s) - adaptive neuro fuzzy inference system , mast (botany) , gyroscope , torque , engineering , accelerometer , matlab , computer science , simulation , automotive engineering , control engineering , real time computing , fuzzy logic , fuzzy control system , artificial intelligence , physics , mast cell , aerospace engineering , immunology , biology , operating system , thermodynamics
Objective: To consider the requirements for safety devices of mobile lifts with working platforms and ana- lyze the specics of daily monitoring of their technical condition. To consider the need to expand the func- tionality of the built-in safety systems of these lifts. To demonstrate the need for in-depth control and anal- ysis of the work cycle dynamic processes of mobile lifts with mast-type work platforms and provide tech- nical solutions for their implementation. Methods: The relationship of mechanical and electromechanical characteristics of electric drives of mobile lifts with mast-type work platforms with the output parameters of a distributed system of multipoint daily monitoring in various modes has been revealed using the Adap- tive Neuro-Fuzzy Inference System (ANFIS) of the MATLAB package. Results: On the laboratory bench, the values of the minimum root-mean-square errors in determining the speed, torque on the shaft, and the stator current of an asynchronous electric motor with a squirrel-cage rotor were obtained according to the data of the three-axis accelerometer LIS331DLH, gyroscope I3G4250D, and magnetometer LIS3MDL, as well as an electret microphone on training and test samples, various training methods and membership func- tions of the generated structures of ANFIS, the Adaptive Neuro-Fuzzy Inference System. Practical impor- tance: The possibility of expanding the functionality of built-in safety systems of mobile lifts with mast- type work platforms is shown based on the control of the work cycle dynamic processes by a distributed system of multipoint daily monitoring trained using the ANFIS of the MATLAB package, which can be recommended for practical use.