Design of Servo Motor Controller Device for Antenna Stabilization Based on PID Controller

2019 ◽  
Author(s):  
Hendri Maja Saputra ◽  
Abdurrahman Nurhakim ◽  
Midriem Mardanies
Keyword(s):  
Pid Controller ◽  
Servo Motor ◽  
Motor Controller

Camera Stabilizer 2 Axis by Proporsional Integral Derivative (PID) Based LabView

2015 ◽  
Vol 3 (2) ◽  
pp. 25-27
Author(s):  
Anjasmara A
Keyword(s):  
Pid Controller ◽  
Speed Control ◽  
Proportional Integral Derivative ◽  
Servo Motor ◽  
Motor Speed ◽  
Proportional Integral ◽  
Controller Parameter ◽  
Labview Software ◽  
Motor Controller ◽  
Computer Device

Abstract - In taking a video on the camera results that are not much movement are needed, so that the video can be seen properly by the audience. In addition, the video does not have a lot of distortion which is caused by being unstable in its capture. Then a Camera Stabilizer is needed so that the resulting video remains stable. This camera stabilizer uses a computer device in making this program needed to make it easier for the operator to set the desired angle. In order to obtain the best stability, a tuning of the Proportional Integral Derivative (PID) controller parameter is performed. In this tuning we can find out the values of Proportional gain (Kp), Integral Time (Ti), and Derivative Time (Td). The PID controller can provide action to the servo motor controller based on the error obtained, the desired servo motor rotation value is called the setpoint. LabView software is used as a driver, motor speed control. Keyword : LabView, servo motor, arduino, accelerometer, computer

Improved PID Control Using an Adaptive Two-Input Single-Output Coarse/Fine Approach

2011 ◽  
Author(s):  
Eric Wood ◽  
Carl A. Nelson ◽  
Alyssa Koch
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Rotational Velocity ◽  
Operating Parameters ◽  
Error Signal ◽  
Sliding Modes ◽  
Velocity Control ◽  
Single Output ◽  
Motor Controller ◽  
Speed And Accuracy

In robotic manufacturing, the qualities of responsiveness (speed) and accuracy are both desirable, but these two goals tend to oppose each other. A theoretical model of an adaptive PID controller for robotic and other actuated mechanical systems is presented here in pursuit of these combined objectives. Emphasis is placed on rotational velocity control using multiple inputs to produce a single desired output. Shared control of the system between two motors is proposed such that dominance of each motor controller shifts smoothly as a function of error signal based on the kinematic combination of the motor inputs (continuously sliding modes). Performance and stability analyses are provided to illustrate the behavior of the system based on operating parameters.

scholarly journals The use of the localization method for calculation of the robust PID regulator parameters for unmanned aircraft servo motor

2020 ◽  
Vol 23 (1) ◽  
pp. 95-105
Author(s):  
A. A. Sanko ◽  
A. A. Sheinikov ◽  
T. A. Tishchenko ◽  
D. A. Smolskiy
Keyword(s):  
Input Signal ◽  
Pid Controller ◽  
Supply Voltage ◽  
Unmanned Aircraft ◽  
Discrete Control ◽  
Continuous Systems ◽  
Servo Motor ◽  
Servo Drive ◽  
Localization Method ◽  
Control Circuits

The problem of controlling a typical nonlinear servo motor of an unmanned aercraft with non-stationary parameters using a robust PID controller is considered. The procedure for calculating the parameters of a robust PID controller based on the localization method (further - LM PID controller) for continuous and discrete control systems is studied. The influence of disturbing factors (internal and external) acting on the servo motor is considered. It is established that the main perturbations acting on the servo drive include internal perturbations, which are changes in the time constant and its gain from the temperature of the environment and the quality of the supply voltage. The simulation in the class of linear and nonlinear continuous systems showed that a servo drive with a ML PID controller has the property of robustness in the working range of changes in both the input signal and the parameters of the servo drive and controller. Simulation results showing the research are presented. When describing a servo motor with an LM PID controller in the class of linear discrete systems, its robustness is limited by a narrow range of variation of both its parameters and the quantization period of the input signal. As the degree of uncertainty in the parameters of the servo motor increases (approaching the working range of their change), the discrete system loses stability. For the synthesis of robust control circuits of an unmanned aercraft with given characteristics, mathematical dependences of the settling time and static error of a typical servo motor with LM PID controller from the quantization period of the input signal and the degree of uncertainty in its parameters are presented.

scholarly journals Nonlinear Dynamics and Control of a Cube Robot

Mathematics ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. 1840
Author(s):  
Teh-Lu Liao ◽  
Sian-Jhe Chen ◽  
Cheng-Chang Chiu ◽  
Jun-Juh Yan
Keyword(s):  
Pid Controller ◽  
The Self ◽  
Proportional Integral Derivative ◽  
Servo Motor ◽  
External Disturbances ◽  
Braking System ◽  
Dynamics And Control ◽  
And Control ◽  
Balancing Control ◽  
Nonlinear Dynamics And Control

The paper aims to solve problems of the mathematical modeling and realization of a cube robot capable of self-bouncing and self-balancing. First, the dynamic model of the cube robot is derived by using the conservation of the angular momentum and the torque equilibrium theory. Furthermore, the controllability of the cube robot is analyzed and the angle of the cube robot is derived from the attitude and heading reference system (AHRS). Then the parallel proportional–integral–derivative (PID) controller is proposed for the balancing control of the self-designed cube robot. As for the bounce control of the cube robot, a braking system triggered by the servo motor is designed for converting the kinetic energy to the potential energy. Finally, the experimental results are included to demonstrate that the cube robot can complete the actions of self-bouncing and self-balancing with good robustness to external disturbances.

Hardware Design of Bipedal Locomotion Robot

2014 ◽  
Vol 705 ◽  
pp. 174-177
Author(s):  
K.S. Sim ◽  
C.P. Tso ◽  
G.Y. Lim ◽  
M.C. Foo
Keyword(s):  
Control System ◽  
Hardware Design ◽  
Biped Robot ◽  
Bipedal Locomotion ◽  
Servo Motor ◽  
Motor Controller ◽  
Servo Controller ◽  
The Stability ◽  
Controller Board ◽  
Trajectory Angle

This paper aims to design and develop a control system for the biped robot. The Peripheral Interface Controller (PIC) main controller board is designed to control the servo motor controller board which assures the biped robot to maintain its stability. This robot consists of PIC microcontroller, servo controller, servo motor, and sensors. The bracket parts are fabricated to mount the servo motors by constructing the biped structure. The PIC microcontroller provides interface among the sensors input, servo motor controller, and servo motor. The biped robot is able to walk in a stable motion under a flat plane. The sensors feedbacks enable the controller to adjust the stability of biped robot. The biped robot is able to perform walking steps and crouching action through the configuration of trajectory angle values of the servo motors.

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