Abstract
The application of a controlled electric drive for a chipper machine has been investigated. This allows controlling the cutting speed and torque, ensures the production of high quality wood chips and reduces electricity consumption. Regulating the motor torque and speed based on fuzzy logic improves the drive characteristics. Implementing a multi cascade principle in the design of the fuzzy controller enables accounting for operating modes and load parameters. The aim of the research work is to investigate the possibility of stabilizing the cutting speed and torque of a disc chipper machine by using an electric drive with fuzzy logic-based control, as well as to evaluate the energy efficiency of the developed electric drive. The study of the chipper machine electric drive was conducted in the MATLAB environment using a developed simulation model. A mathematical model of the load was constructed and analyzed, taking into account the varying parameters of the controlled object. The choice of a direct torque control algorithm for stabilizing the cutting process was justified. It was found that the use of a controlled electric drive allows stabilizing the motor speed and torque under abruptly varying loads and reducing power consumption. It was demonstrated that introducing fuzzy control into the inner loop of the control system reduces torque ripples in a direct torque control system. In addition, accounting for the electric drive operating modes by enhancing the fuzzy controller in the speed loop stabilizes the cutting speed and torque under changing working conditions, thereby improving the quality of the final product. A comparison of the simulation results showed a reduction in power consumption when using a controlled electric drive compared to an uncontrolled one, as well as when applying fuzzy control compared to a classical direct torque control system.
Keywords
DTC, fuzzy logic controller, induction machine, disc chipper, electric drive control system, energy efficiency.
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