IMPROVED ALGORITHM OF ELECTROMAGNETIC VIBRATION DRIVE SYSTEM CONTROL
Journal Title: Електромеханічні і енергозберігаючі системи - Year 2018, Vol 2, Issue 42
Abstract
Relevance of the work. Electromagnetic vibration drive system is used predominantly at vibration technology units requiring the automatic control of vibration parameters during operation. These include vibrating conveyors, feeders and other similar devices. The quality of amplitude and frequency control of oscillations affects the quality of technological processes and energy performance. A well-known control algorithm includes the determination of the fundamental harmonic of vibrational displacement, as well as the first and third harmonics of current by means of the discrete Fourier transform procedure sing reference signals synchronized with the moments of the electromagnet winding current transition through a zero level. The main disadvantage of this algorithm is the distortion of the reference signals due to the shift of the average value of the current in the transient processes, as well as the effect of high frequency interference, which prevents precisely determining the moments of the current transition through zero. The aim of the work is development of the electromagnetic vibration drive control algorithm, devoid of these disad-vantages. Results. The paper proposes an improved control algorithm that differs from the existing one in that the for-mation of reference signals for the discrete Fourier transform procedure is carried out regardless of the current sensor signal. Equations describing signal transformations according to the improved control algorithm have been received. A dynamic block diagram of the discrete part of the control system based on the equations has been developed. The dynamic model in the development environment Simulink has been worked out. The result of transient simulation shows, that the proposed control algorithm provides the control quality even in conditions of a significant level of high-frequency noise in the current sensor signal.
Authors and Affiliations
Oleksandr Cherno, Anatolii Hurov
Keywords
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- EP ID EP659773
- DOI 10.30929/2072-2052.2018.2.42.23-29
- Views 200
- Downloads 0
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