Abstract
In the work, a program of experimental studies of a belt conveyor during its start-up is developed. The design of the laboratory model of the belt conveyor is presented. the most significant characteristics that need to be measured are selected. The selection of sensors (electric motor current, acceleration of conveyor metal structure, and velocity of belt linear movement) and appropriate equipment for recording and transmitting the received data are carried out. The places of installation of the necessary equipment on the laboratory model of the belt conveyor are shown. Experimental studies have been planned to determine the dynamic, kinematic, and energy parameters of the belt conveyor. The characteristics of the start (direct start, frequency-controlled with different dependences of the frequency increase (linearly ramped and S-curved), frequency-controlled according to the optimal law of the frequency increase), as well as the duration of the frequency increase, are chosen as independent factors. An additional independent factor is the type of conveyor start: with no load (without bulk material on the belt surface) and with a fully charged belt. A total number of experiments equals twenty. In order to implement a frequency-controlled start frequency inverter exploited, it is supplied with a power supply grid. Outputs of the frequency inverter are connected to the electric motor of the belt conveyor drive. For the recording of the data and converting it to a digital form device m-DAQ 14 is chosen. Corresponding software for its control is described. In addition to that, the software «OPTIMAL CONTROL OF BELT CONVEYOR» for optimal control of the belt conveyor start-up is developed. It realizes the control of frequency inverter via calculation of optimal start curve and sending control commands through the digital channel. In order to avoid noise in the recorded experimental data, the technique of its filtering and processing is presented. For this goal digital filters (moving median, moving average, and Savitzky-Golay) are chosen. For estimation of experimental and theoretical data deviations coefficient of variation is proposed to apply.
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