Field weakening of separately excited dc motor
55750140
Separately Excited DC Motor for Electric Vehicle Controller Design
This paper analyzes the working principle of separately excited DC motor controller putting forward with the STM32 chip as the core. It uses motor rotation controlled by four quadrant full bridge excitation coil and half bridge armature and separately excited motor controller designed by the basic of the principle of regenerative braking. The whole circuit is simple and compact, installation, maintenance, and use is very convenient, stable performance and costs are relatively cheap.
Yulan Qi
6795661
Fuzzy Speed Control of Separately Excited DC Motor Using Armature Voltage Control Method
This paper presents a simulation of the speed control of a separately excited direct current motor (SEDM) using fuzzy logic control (FLC) in Matlab/Simulink environment. A fuzzy logic controller was designed to vary the motor's speed by varying the armature voltage of the separately excited DC motor in the constant torque region (below the rated speed) The simulation results show that the armature voltage control method is better than field control method with regards to delay time and overshoot.
CloudCom 2013
Abubakar Sadiq Abdulkadir Musa Idi Hassan Buhari Mamman
31604291
Evaluation of transient response of a separately excited DC motor under no load condition
DC motor is a motor that converts electrical energy (input DC current/voltage) into mechanical energy (output torque) This paper presents the transient analysis of a separately excited DC motor which is fed from a variable DC source. It focuses on the simulation of the DC motor model using the MATLAB/SIMULINK application to realize and analyse its transient responses under controlled conditions. The simulated model was used to calculate the speed (N) torque (T) armature current (Ia) for the motor at transient no load condition. Variation of selected DC parameters results to a consequent change in the output characteristics of the model. These parameters include the field current, armature voltage and armature circuit resistance.
2013 IEEE International Conference on Emerging Sustainable Technologies for Power ICT in a Developing Society (NIGERCON)
I M Oise Uchenna Hermes Diala Gloria N Ezeh R O Opara
106804257
Diagnostics of separately excited DC motor based on analysis and recognition of signals using FFT and Bayes classifier
In the work results of diagnostic investigations of separately excited dc motor were presented. In diagnostics were applied a Fourier analysis method basing on fast Fourier transform (FFT) and a recognition method using Bayes classifier. In training process a set of the most important frequencies has been determined for which differences of corresponding signals in two states are the largest. Three categories of signals have been recognized in identification process: faultless state, state of breaking the rotor coils and state of shorting the rotor coils. Slowa kluczowe: silnik elektryczny pradu stalego, badania diagnostyczne, FFT, klasyfikator Bayesa
Witold Glowacz Zygfryd Glowacz
18722836
Analysis of Speed Control of Separately Excited DC Motor Using FOPID with LQR
2 Abstract: This paper presents a simulation and performance analysis of speed control of brushless DC motor using FOPID with LQR. DC motor is widely used in industries even if its maintenance cost is higher than the induction motor. Speed control of DC motor is attracted considerable research and several methods are evolved. The LQR controller is the very commonly used compensating controller. This paper presents a comparison of time response specification between conventional Fractional order Proportional Integral Derivatives (FOPID) controller and Linear Quadratic Regulator (LQR) for a speed control of a separately excited DC motor. A class of fractional order systems having single non integer order element which show highly sluggish and oscillatory open loop responses have been tuned with an LQR based FOPID controller. The goal is to determine which control strategy delivers better performance with respect to DC motor"s speed. Performance of these controllers has been verified through simulation using MATLAB/SIMULINK software package. According to the simulation results, liner quadratic regulator method gives the better performance, such as settling time, steady state error and overshoot compared to FOPID controller. This shows the superiority of liner quadratic regulator method over FOPID controller.
Anand Mickky P M Tiwari
209321617
Model based Speed Control of a DC Motor Using a Combined Control Scheme
The separately excited DC motor is a high performance variable speed drive vital for industrial applications such as robotics, actuation, control and guided manipulation because of its precision, simplicity, continuous control feature and wide speed range. Hence there is need to accurately regulate and drive the motor at desired speed. The individual armature voltage and field current methods are flawed in their inability to control the motor speed over a wider range. Hence this paper is proposing a combined armature voltage and field current control method using Internal Model Control (IMC) feedback control scheme that will ensure reference speed tracking, a fast and non oscillatory response for the DC motor speed. The armature voltage and field current control techniques are both modelled, fully capturing the dynamic effects of the armature and field excitation of the DC motor. The derived model is then used to obtain optimal settings for a PID controller that will control the motor speed. This model based controller enhances the performance of the motor. Computer simulations are presented to show the effectiveness of the proposed control scheme.
2019 IEEE PES/IAS PowerAfrica
Ihechiluru Samuel Okoro Clinton Enwerem
108690848
A Review on Speed Control Techniques of Separately Excited DC Motor
Nowadays, many moving devices receive their energy from a battery. DC motor is the most suitable option for these systems. In addition, the speed of these motors can be controlled easily and in the extensive range. Intelligent control methods are widely used in control of the industrial processes due to simplicity and high capabilities. In this paper, the fuzzy resistance speed controller has been designed and presented for DC motor. This controller stabilizes speed of motor in the desirable path despite changes of load torque or change of motor elements. One of the other features of this controller is the multivariate objective function which is able to supply dynamical behavior of the motor. Rapid response, permanent fault and low overshoot are about the other advantages of this method. DOI: http:/dx.doi.org/10.11591/telkomnika.v13i1.7004
Mahmoud Zadehbagheri Rahim Ildarabadi Majid Baghaei Nejad
111302780
Speed control of Separately Excited DC Motor using various Conventional Controllers
This paper presents comparative study of various conventional controllers such as Proportional (P) Proportional Derivative (PD) Proportional integral (PI) and Proportional Integral Derivative (PID) controller for a speed control of a Separately Excited Direct Current (SEDC) motor by using MATLAB SIMULINK. All controllers have their specific function for a particular task. The speed control normally done by feedback loop or closed loop. The aim of development of this paper is towards providing efficient and simple method for controlling the speed. The auto tuning method are used to for this paper to control the speed. Among all this controllers PI controller are frequently utilized in industries as compared to PID because Derivative action are sensitive to noise, though PID controller will improve the steady state error. Additionally it produces less overshoot, decreasing rise time and settling time. The MATLAB simulation are analysed and compared by using the auto tuning method.
Pranoti K Khanke Sangeeta D Jain
160006442
Design and Simulation of Neuro Fuzzy Controller for Speed Control of a Separately Excited dc Motor
DC machines play an important role in industries and in our daily life. DC machines applications involve reconsideration of their operating characteristics, together with their economic and technical evolution as compared with other competing energy conversion devices. The outstanding advantage of DC machines is that they offer easily controllable characteristics. Their main disadvantage is high initial investment. In spite of this DC machines still hold a strong competitive position for industrial applications because of their attractive features. Large DC motors are used in machine tools, printing press, conveyors, pumps, hoists cranes, paper mills and so forth. Small DC machines (in fractional horse power rating) are used primarily as control devices such as tacho generators for speed sensing and servo motors for positioning and tracking. DC motors still dominate fractional motors used in transit cars and locomotives as torque speed characteristics of DC motors can be varied over a wide range while retaining high efficiency. DC motors posses excellent torque speed characteristics and offer a wide range of speed control. Though efforts are being made to obtain wide range speed control with AC motors, yet the versatility and flexibility of DC motor can't be matched by AC motors. Thus, the demand for DC motors would continue undiminished even in future. With the advancement in technology artificial intelligence (AI) tools such expert system, Fuzzy logic, Neural Network and Neuro Fuzzy are being used for design of controllers. In present work we design Neuro Fuzzy controller to control the speed of separately excited DC motor.
Sharad Chandra Rajpoot Prashant Singh Rajpoot Durga Sharma
38078269
OPTIMAL PID CONTROLLER DESIGN FOR SPEED CONTROL OF A SEPARATELY EXCITED DC MOTOR: A FIREFLY BASED OPTIMIZATION APPROACH
This paper presents a new approach to determine the optimal proportional integral derivative controller parameters for the speed control of a separately excited DC motor using firefly optimization technique. Firefly algorithm is one of the recent evolutionary methods which are inspired by the Firefly's behavior in nature. The firefly optimization technique is successfully implemented using MATLAB software. A comparison is drawn from the results obtained between the linear quadratic regulator and firefly optimization techniques. Simulation results are presented to illustrate the performance and validity of the design method.
Pikaso Pal Rajeeb Dey Raj Kumar Biswas Shubhashish Bhakta