Precise Angle Control of Electromechanical Actuator with Fuzzy PID and Genetic Algorithm

2013 ◽  
Vol 300-301 ◽  
pp. 1479-1485
Author(s):  
Ye Bing Cui ◽  
Jian Zheng ◽  
Yu Tao Ju ◽  
Jing Xu
Keyword(s):  
Genetic Algorithm ◽  
Pid Controller ◽  
Fuzzy Pid ◽  
Space Applications ◽  
Electromechanical Actuators ◽  
Electromechanical Actuator ◽  
Brushless Dc Motors ◽  
Brushless Dc ◽  
Dc Motors ◽  
Control Schemes

With the development of the new kinds of permanent magnetic materials and the tech of drive circuits, more and more electromechanical actuators have been used in the space applications, such as tactical missiles, smart UAV and so on. This study presents an electromechanical actuator actuated by four Brushless DC motors (BLDC) driven rudder wings .Two different control schemes are implemented to regulate the output angle of the EMA rudder wings. Namely a fuzzy logic PID controller （Fuzzy-PID）and a genetic algorithm optimized PID (GA-PID) controller. The feasibility of the two controllers is evaluated both numerically and experimentally, it is shown that Fuzzy-PID leads to a loss of control in high frequency conditions, while, GA-PID can ensure the precise angle control and an accurate tracking performance.

PID control of robot manipulators equipped with brushless DC motors

Robotica ◽  
2009 ◽  
Vol 27 (2) ◽  
pp. 225-233 ◽  
Author(s):  
V. M. Hernández-Guzmán ◽  
V. Santibáñez ◽  
R. Campa
Keyword(s):  
Global Convergence ◽  
Control Strategy ◽  
Pid Control ◽  
Pid Controller ◽  
Torque Control ◽  
Theoretical Justification ◽  
Brushless Dc Motors ◽  
Brushless Dc ◽  
Dc Motors ◽  
Torque Control Strategy

SUMMARYThis paper is concerned with PID control of rigid robots equipped with brushless DC (BLDC) motors when the electric dynamics of these actuators is taken into account. We show that an adaptive PID controller yields global stability and global convergence to the desired link positions. Moreover, we also show that virtually the PID part of the controller suffices to achieve the reported global results. We present a theoretical justification for the torque control strategy, commonly used in practice to control BLDC motors. Our controller does not require the exact knowledge of neither robot nor actuator parameters.

An Enhanced PID Controller for Speed Control of Brushless DC Motors Based on Convex Set Optimization

2010 ◽  
Vol 43 (22) ◽  
pp. 75-80 ◽  
Author(s):  
Chang Hyun Kim ◽  
Ji Hoon Yang ◽  
Dong Gyun Lim ◽  
Byung Suhl Suh
Keyword(s):  
Pid Controller ◽  
Convex Set ◽  
Speed Control ◽  
Set Optimization ◽  
Brushless Dc Motors ◽  
Brushless Dc ◽  
Dc Motors

scholarly journals Speed Control of BLDC Motor using Open Loop, PID Controller and Neural Network

2019 ◽  
Vol 9 (1) ◽  
pp. 2210-2213
Keyword(s):  
Neural Network ◽  
Simulation Study ◽  
Pid Controller ◽  
Speed Control ◽  
Open Loop ◽  
Bldc Motor ◽  
Variable Speed ◽  
Brushless Dc Motors ◽  
Brushless Dc ◽  
Dc Motors

is main goal of upcoming and present applications. However, its possible to achive these aims using brushless DC motors (BLDC), due to its use in many applications. The applications such as sppining, drilling, elevators, lathes, etc can be exicuted using BLDC motor and can replace conventional DC brush motor. The effective vechiel control required for applications of variable speed can be achived using BLDC motors. This paper presents speed control of BLDC motor for open loop using PID and neural network techniques and their comparative study. From the simulation study it is observed that neural network gives better performance compaiered to other technique.

scholarly journals Performance enhancement of BLDC motor using PID controller

2021 ◽  
Vol 12 (3) ◽  
pp. 1335
Author(s):  
S. Usha ◽  
Pranjul Mani Dubey ◽  
R. Ramya ◽  
M. V. Suganyadevi
Keyword(s):  
Pid Controller ◽  
Performance Enhancement ◽  
Speed Control ◽  
Dc Motor ◽  
Bldc Motor ◽  
Brushless Dc Motors ◽  
Brushless Dc ◽  
Dc Motors ◽  
System A ◽  
Current Controller

Mainly the DC motors are employed in most of the application. The main objective is to Regulate the DC motor system. A motor which displays the appearances of a DC motor but there is no commutator and brushes is called as brushless DC motor. These motors are widespread to their compensations than other motors in relationships of dependability, sound, efficiency, preliminary torque and longevity. To achieve the operation more reliable and less noisy, brushless dc motors are employed. In the proposed work, dissimilar methods of speed control are analysed. In real time submission of speed control of BLDC motor, numerous strategies are executed for the speed control singularity. The modified approaches are the employment of PI controller, use of PID controller and proposed current controller.

Design of Adaptive Controller of Brushless DC Motor Based on Fuzzy Genetic Algorithm

2014 ◽  
Vol 644-650 ◽  
pp. 179-183
Author(s):  
Ya Juan Chen ◽  
Yue Hong Zhang
Keyword(s):  
Genetic Algorithm ◽  
Control System ◽  
Pid Controller ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Fuzzy Pid ◽  
Adaptive Fuzzy ◽  
Brushless Dc ◽  
Fuzzy Pid Controller ◽  
Fuzzy Genetic

In this paper, an adaptive fuzzy PID controller based on genetic algorithm is designed. Brushless DC motor uses double closed loop control system. The adaptive fuzzy PID controller based on genetic algorithm is applied to outer ring speed ring, and PI controller is applied to inner ring. The simulation results show that, the designed brushless DC motor control system based on genetic algorithm optimization has a short rise time and no overshoot, small steady-state error and other advantages. And the system has strong robustness and adaptability.

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