The Experts below are selected from a list of 56556 Experts worldwide ranked by ideXlab platform
Chen Ya-ling - One of the best experts on this subject based on the ideXlab platform.
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Development and Applications of Permanent Magnet Brushless Dc Motor
Electric Switchgear, 2010Co-Authors: Chen Ya-lingAbstract:The development of a permanent magnet brushless Dc Motor is presented.The performance of the permanent magnet bushless Dc Motor is compared with the performance of other Motors.The paper sumps up advantages of the permanet magnet brushless Dc Motor and amalyzes prospects of the permanent magnet brushless Dc Motor.
Alexey Krasilnikov - One of the best experts on this subject based on the ideXlab platform.
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Real-time control system for a Dc Motor
2016 IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference (EIConRusNW), 2016Co-Authors: Vitaliy Sigarev, Tatiana Kuzmina, Alexey KrasilnikovAbstract:In this paper designing of a real-time control system for Dc Motor is considered. Designing of this control system contains two parts: designing of the hardware of the control system and designing of the Dc Motor and developing the control system of Dc Motor by dint of Matlab Real-Time Windows Target Toolbox.
Y.s. Kishore Babu - One of the best experts on this subject based on the ideXlab platform.
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Sliding Mode Speed Control of a Dc Motor
2011 International Conference on Communication Systems and Network Technologies, 2011Co-Authors: Ch. Uma Maheswararao, Y.s. Kishore Babu, K. AmareshAbstract:The main objective of this paper is to control the speed of separately excited Dc Motor using a Sliding mode controller based on VSS approach. This controller is based on variable structure systems which aim at reducing the peak overshoot, steady state error and settling time of a Dc Motor. In the first stage, PI controller is used to control the speed of Dc Motor. A model is developed and simulated using MATLAB/SIMULINK. Later on the same is done with sliding mode controller. The speed control of Dc Motor using both PI and Sliding mode controllers is studied and the results are compared. The simulation results show that Sliding mode controller is superior than PI for speed control of Dc Motor. Since the SMC is robust in presence of disturbances, the desired speed is perfectly tracked.
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A Neuro-fuzzy Based Speed Control of Separately Excited Dc Motor
2010 International Conference on Computational Intelligence and Communication Networks, 2010Co-Authors: Singari V.s.r. Pavankumar, Y.b. Venugopal, Sande Krishnaveni, Y.s. Kishore BabuAbstract:This paper presents the speed control of a separately excited Dc Motor using Neuro-Fuzzy controller. The controller is based on Adaptive Neuro-Fuzzy Inference System (ANFIS), which aims at reducing the peak overshoot, settling time of a Dc Motor. In the first stage, PI controller is used to control the speed of Dc Motor. From the results of PI controller, the training data is taken to design the ANFIS speed and current controllers. The simulation results show that Neuro-Fuzzy controller gives better performance compared to PI controller.
Wenxiang Chen - One of the best experts on this subject based on the ideXlab platform.
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Modeling and simulation for micro Dc Motor based on simulink
IOP Conference Series: Materials Science and Engineering, 2017Co-Authors: Hanxin Shen, Qiao Lei, Wenxiang ChenAbstract:The micro Dc Motor has a large market demand but there is a lack of theoretical research for it. Through detailed analysis of the commutation process of micro Dc Motor commutator, based on micro Dc Motor electromagnetic torque equation and mechanical torque equation, with the help of Simulink toolkit, a triangle connection micro Dc Motor simulation model is established. By using the model, a sample micro Dc Motor are simulated, and an experimental measurements has been carried on the sample micro Dc Motor. It is found that the simulation results are consistent with theoretical analysis and experimental results.
Usha Nair - One of the best experts on this subject based on the ideXlab platform.
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Sensor less fuzzy control of Dc Motor
Nonlinear Dynamics, 2014Co-Authors: K. M. Arun Prasad, Usha NairAbstract:This paper is concerned with the design of the sensorless controller for the position control of Dc Motor. The Dc Motor can be modeled as a linear time invariant single input single output system. In this paper synthesis and analysis of position control of a Dc Motor using sensor less fuzzy control and conventional PID controllers are carried out and their performance is evaluated and compared. The performance of sensor less fuzzy controller is found superior to conventional PID controllers even in the presence of disturbances.
