scholarly journals PID Controller-based Object Tracking and Speed Control System for Wheeled Soccer Robot

2017 ◽  
Author(s):  
Indra Riyanto

This paper discussed about the detection system of ball objects and speed control system of wheeled robot football using PID controller. The object detection system uses behavior-based control methods based on the orientation of the robot position against the object position. The position of the robot is controlled to keep it perpendicular to the ball. When the position of the robot is perpendicular to the ball, the robot will move with a certain speed that is controlled by the PID controller based on the distance between the robot and the ball. Test results in static conditions (static balls) show the robot can detect the object of the ball, either when the position of the object perpendicular, to the right, or left of the robot. In testing the dynamic state (moving ball) with random directions, the robot can also move dynamically as the ball position changes.

2020 ◽  
Vol 8 (4) ◽  
Author(s):  
Abdullah Al-Buzayd ◽  
Nadhim Faleh ◽  
Munaf Badr

This paper describes the design and the execution of a speed control system for a rotary hydraulic actuator by using solenoid valves. The design is to control the rotational velocity (or the speed) of a hydraulic motor without using neither a variable hydraulic pump nor a variable hydraulic motor.  With analysis by the simulation using the package, V 4.2p/1.67 of FluidSIM 4 from FESTO. It is possible to predict the output of the rotational velocity (rpm) and next could take the right decision about the correct specifications of the system components to meet the requirements.


Author(s):  
S. Chattopadhyay ◽  
M. Bandyopadhyay

A PC based speed control system of a PMDC motor using PID controller with the help of Data Acquisition System has been designed in order to control the process variable to achieve the most efficient control in the plant operation. The proposed PID controller has been tested with a process plant analogue and implemented it, in the speed control system of a PMDC motor and voltage control system of a DC generator where DC motor is coupled as a prime mover. The characteristics of the proposed controller along with process plant analogue have been studied. The speed control characteristic of the DC motor with the controller set point and load characteristics of the DC generator with and without this controller have been determined experimentally and reported in this paper.


2014 ◽  
Vol 599-601 ◽  
pp. 1090-1093 ◽  
Author(s):  
Chun Hua Li ◽  
Shao Xiong Xu ◽  
Yang Xie ◽  
Jie Zhao

Variable frequency speed control system hold good stability,more efficient,more energy conservation etc, so it has been widely used in the industrial areas,but the control strategy of traditional was difficult to achieve the desired control effect.This paper adopt particle swarm algorithm and BP neural network to construct the PID controller of PSO-BP neural network , the M-Files of PSO-BP neural network PID based on MATLAB through S-Function, and the mode of PSO-BP neural network PID variable frequency speed control system was established in SIMULINK platform.Simulation results show that the controller hold well robustness, follow and stability,and the dynamic characteristics of the original system was improved, the application value of this method in the variable frequency speed control system was proved.


2012 ◽  
Vol 150 ◽  
pp. 129-132 ◽  
Author(s):  
Zhong Qiao Zheng ◽  
Yan Hong Zhang ◽  
Jian Sheng Zhang

PID controller is widely used in industry field, but when the industry presence exists noise interference, it is difficult for the conventional PID controller to achieve the expected control effect, in view of this situation, the method of combinating Kalman filter with the PID control is studied in this paper, the DC motor speed control system is simulated, the results shows that the PID controller based on Kalman filter is better to inhibit the effect of white noise, and it has a good dynamic response characteristics.


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