scholarly journals INVESTIGATION OF COMPRESSOR START-UP OF CONE DRILLING RIG WITH CURRENT LIMITING FUNCTION

2021 ◽  
pp. 24-29
Author(s):  
Anton Toropov ◽  
Liliya Toropova

The article deals with the problem of investigation of the system "soft starter- induction motor" for compressing equipment of cone drilling machine. Also refined mathematical model of the system, taking into account the behavior of compressor load, as well as existing working algorithm of the stator current control block is developed. The problems of choice of starting mode of compressing equipment are considered, the necessity of full research of the electric drive system with the methods of numerical modeling is determined. The basic parameters which have to be specified and corrected by the designer of the electromechanical system of the compressor during equipment commissioning are determined. Further, an algorithm for firing angle control of power thyristors, which used in modern soft starters, produced by WEG Company, is implemented. After that, the simulation of the procedure for starting the compressor induction motor using thyristors soft starter with the stator current limiting function is performed. As a result of modeling using application Simulink of software environment ATLAB, the graphs of transients for the most important working parameters, such as stator windings current, shaft rotation speed, load torque and firing angle for thyristors are obtained. The analysis of the obtained results, as a result of which formulated the conclusions on the possibility of using soft starters for the cone drill rig compressors is made. It has been determined that in the case of almost linear behavior of compressor load, the motor starts with a smooth change of speed without significant fluctuations of electric motor stator currents. It is proposed to use the current limiting function for easy starting modes and current control functions with an initial kick of torque.

2020 ◽  
Vol 42 (16) ◽  
pp. 3183-3195
Author(s):  
Zebin Yang ◽  
Jiajie Wu ◽  
Chengling Lu ◽  
Ding Wang

A control strategy for a bearingless induction motor (BL-IM) based on the fuzzy dynamic objective function is proposed in this paper. Firstly, based on the discrete mathematical model of the BL-IM, the stator current and flux linkage are predicted according to the given stator current and flux linkage, the objective function of model predictive current control (MPCC) is designed. Secondly, the fuzzy control algorithm is introduced in the objective function of the MPCC to dynamically assign the weighting factors before the current component on the d- q axis and the influence of the objective function on the performance of the BL-IM is analyzed under different weighting factors. By discretizing the rotational speed deviation Δ ω and rotational speed deviation rate, fuzzy reasoning is performed to obtain the optimal fuzzy dynamic function. Finally, the optimal fuzzy dynamic function is selected as the objective function of the MPCC to perform the simulations and experiments. The results show that the performance of the BL-IM under the MPCC strategy based on the fuzzy dynamic objective function is improved compared with the traditional MPCC and the vector control based on the fuzzy PID, due to its better dynamic and suspension performance. Meanwhile, the stability of rotor current component is enhanced.


2019 ◽  
Vol 8 (2) ◽  
pp. 5578-5583

This paper describes the Model Predictive control (MPC) strategy to control the Torque of the Induction Motor (IM) according to the reference torque provided. IM fed with an Three Level Neutral Point Clamped (NPC) Inverter. MPC paves the way to replace complex Space Vector Modulation (SVM) into a simple understandable algorithm. It uses the discretized model of the IM. Stator current is used as a control variable hence called Model Predictive Current Control (MPCC). MPCC is derived from Field Oriented Control (FOC) Technique. MPCC achieves improved nominal torque compared to FOC, But current harmonics are high rather it’s simplicity encourages it’s usage and further development in MPC strategies for Embedded Drives. By the end of the paper, both FOC and MPCC controls of IM drive were discussed using MATLAB/SIMULINK.


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