Motor Control using Discontinuous Signals

1970 ◽  
Vol 108 (2) ◽  
pp. 15-18 ◽  
Author(s):  
C. Aghion ◽  
O. Ursaru
Keyword(s):  
Motor Control ◽  
Comparative Analysis ◽  
Alternating Current ◽  
Control Methods ◽  
Control Techniques ◽  
Reference Signals

This paper makes a comparative analysis of the behaviour of an alternating current motor with different control methods. Two control techniques were used, based on discontinuous reference signals, namely DPWM-S4 and DPWM-S5. Ill. 9, bibl. 7, tabl. 1 (in English; abstracts in English and Lithuanian).http://dx.doi.org/10.5755/j01.eee.108.2.135

A Review of Classical and Modern Control Techniques Utilized in Modern Microgrids

2021 ◽  
Vol 14 ◽  
Author(s):  
Muhammad Hamza Shahbaz ◽  
Arslan Ahmed Amin
Keyword(s):  
Control Strategies ◽  
Optimal Solution ◽  
Energy Resources ◽  
Control Methods ◽  
Research Gaps ◽  
Control Techniques ◽  
Micro Grid ◽  
Exciting Development ◽  
Micro Grids ◽  
Modern Control

: Because of the consistently expanding energy request, the introduction of a decentralized micro-grid based on energy resources will soon be the most exciting development in the power system. Micro-grids, which are mainly based on inverters, are becoming more popular as they can handle different forms of renewable energy effectively. However, one of the most challenging areas of research is their control. In the last few years, many control strategies have been developed. In this review, different control methods have been discussed that apply to the micro-grid system. Furthermore, the comparative analysis of classical and modern control strategies is also considered. This survey guides the new researchers about all available control strategies and room for improvement towards the optimal solution of the micro-grid control techniques. It also identifies several research gaps and future trends therein as well as provides a solution to manage problems in MGs. The strategies are then compared based on their applicability to different control requirements.

Analysis Performance of SRM Based on the Novel Dependent Torque Control Method

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8203
Author(s):  
Piotr Bogusz ◽  
Mariusz Korkosz ◽  
Jan Prokop ◽  
Mateusz Daraż
Keyword(s):  
Motor Control ◽  
Natural Frequencies ◽  
Control Method ◽  
Torque Control ◽  
The Novel ◽  
Control Methods ◽  
Vibration Acceleration ◽  
Switched Reluctance ◽  
Reluctance Motor ◽  
Source Current

This paper presents a description and the results of simulations and laboratory tests of proposed methods for dependent torque control in a Switched Reluctance Motor (SRM). The proposed methods are based on Dependent Torque Motor Control (Rising Slope), DTMC(RC), and Dependent Torque Motor Control (Falling Slope), DTMC(FC). The results of these studies were compared with those on the Classical Torque Motor Control (CTMC) method. Studies were conducted for each of the analyzed control methods by determining the efficiency of the drive and the RMS of the source current and analyzing the vibrations generated for each of the control methods. The harmonics of the phase currents, which caused an increase in the level of vibrations generated, were determined. The usefulness of the proposed methods for controlling SRMs was assessed based on simulations and experiments. Additionally, the natural frequencies of the stator of the tested SRM were determined by a simulation using the Ansys Maxwell suite. The levels of vibration acceleration generated by the SRM were compared for the considered control methods.

COMPARATIVE ANALYSIS OF DIFFERENT ROTARY CONTROL SYSTEMS

2020 ◽  
Vol 6 ◽  
pp. 86-93
Author(s):  
R.K. ZARETSKIY
Keyword(s):  
Comparative Analysis ◽  
Control Systems ◽  
Friction Torque ◽  
Rotor System ◽  
Control Methods ◽  
Fluid Friction ◽  
Q Learning ◽  
Stiffness Coefficients ◽  
Relative Eccentricity ◽  
Bearing Stiffness

This article provides a comparative analysis of various control systems for a rotor system on fluid friction bearings. The control was carried out on the basis of the criterion of the minimum friction moment, the controlled parameter was the bearing stiffness coefficients. The following control methods were compared in terms of friction torque and rotor eccentricity: STATIC, PID, DQN, DDPG, Q-Learning and SARSA. The control systems were guided by the following observed parameters: the values of coordinates and velocities along the x, y axes, as well as the frictional moment and relative eccentricity.

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