Starting and Speed Control Methods

2020 ◽  
pp. 189-217
Author(s):  
Ion Boldea
Author(s):  
Carlo Joseph Makdisie ◽  
Marah Fadl Mariam

Most of the electric machines had a conventional design for speed –control. Previously, the speed regulation of these motors was done via traditional or mechanical contacts, for example: inserting resistors to the armature circuit or controlling the excited circuit of DC motor, and other methods of control. These classical methods, however, lead to non-linearity in mechanical or electromechanical characteristics [ω= f(M) or ω= f(I)], which in turn lead to increased power losses as the result of the non-soft regulation of speed, as well as the great inertia of classical control methods that rely on mechanical and electromagnetic devices.


Author(s):  
P. I. Obi ◽  
Osita Opua ◽  
C. A. Okeke ◽  
G. C. Diyoke ◽  
I. K. Onwu

The desired speed of DC motors in most cases is a function of the intending usage, hence, the speed is continually regulated/controlled to suit different usage. Three basic methods are employed in the speed control; the quantitative comparison of these methods was investigated in this paper. For shunt and series motors delivering 11.07Hp and 13.94Hp respectively (at rated speed), the efficiencies were 84.43% and 90.22% with running cost of ₦246.00 and ₦276.00 respectively. Increasing the shunt motor speed by reducing armature resistance (armature control) reduces the running cost but increases the efficiency from its original values to ₦238.70 and 82.89% respectively at 0.6 of the rated armature resistance; decreasing the speed of the motor by this means decreases efficiency and increases running cost. However, increasing the motor speed by decreasing the armature resistance for series dc motors decreases efficiency and also increases running cost, with 0.6 of rated armature resistance used, the efficiency dropped to 83.15% while running cost went up to ₦299.47. But decreasing the series motor speed increases efficiency and reduces running cost.


2015 ◽  
Vol 4 (1) ◽  
pp. 53-58 ◽  
Author(s):  
Rohitash Singh ◽  
Saurabh Kr. Bajpai ◽  
Harinder Singh Sandhu

The induction motor is without doubt the most used electrical motor because of its unique characteristics.  Most of its applications need fast and intelligent speed control system. This paper presents comparison of the intelligent and advanced speed control methods based on PWM technique and PI controller to achieve maximum torque and efficiency.  Simulation is carried out in MATLAB environment and results are investigated for speed control of induction motor without any controller and with PI controller on full load condition.


2015 ◽  
Vol 220-221 ◽  
pp. 244-250 ◽  
Author(s):  
Ľubica Miková ◽  
Ivan Virgala ◽  
Michal Kelemen

One of the most commonly used actuators in industry are DC motors because of their relative control simplicity, small dimensions and a low price. The paper analyses a DC motor with focus on speed control using two different approaches. First, a mathematical model of the DC motor is introduced. For controller design, two methods, namely the frequency shaping method and PWM control, are used. Both approaches are simulated and compared to each other. For running simulations, software Matlab/Simulink has been applied. The conclusion discusses the advantages and disadvantages of the employed control methods. The contribution of the paper brings information about the advantages and disadvantages of approaches.


2021 ◽  
Vol 5 (1) ◽  
pp. 17-25
Author(s):  
Izza Anshory ◽  
Dwi Hadidjaja ◽  
Indah Sulistiyowati

Measurement, modeling, and optimization are three important components that must be done to get a better system on the BLDC motor speed control system. The problem that arises in the BLDC motor speed control system is the instability indicated by a high overshoot value, a slow rise time value, and a high error steady-state. The purpose of this study is to increase the stability indicator by eliminating the high value of overshoot and error steady-state and increasing the value of the rise time. The method used in this research is to measure the input and output physical parameters, to model the BLDC motor plant mathematically and the last is to perform optimization using several control methods such as Proportional Integral Derivative (PID) control, fuzzy logic intelligent control, and Particle Swarm Optimization algorithm. (PSO). Experimental and simulation results show that the PSO algorithm has a better value in increasing stability indicators when compared to the other two control methods with a rise time of 0.00121 seconds, settling time of 0.00241 seconds, and overshoot of 0%.


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