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

Author(s):  
Anjasmara A

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

2021 ◽  
Vol 2 (1) ◽  
pp. 7
Author(s):  
Irfan Irhamni ◽  
Riries Rulaningtyas ◽  
Riky Tri Yunardi

DC motor is an easy-to-apply motor but has inconsistent speed due to the existing load. PID (Proportional Integral Differential) is one of the standard controllers of DC motors. This study aimed to know the PID controller's performance in controlling the speed of a DC motor. The results showed that the PID controller could improve the error and transient response of the system response generated from DC motor speed control. Based on the obtained system response data from testing and tuning the PID parameters in controlling the speed of a DC motor, the PID controller parameters can affect the rate of a DC motor on the setpoint of 500, 1000, 1500: Kp = 0.05, Ki = 0.0198, Kd = 0.05.


This paper proposes a step by step procedure design and analysis of proportional Integral (PI) and proportional integral derivative (PID) controller. These controllers are employed to control the speed of a DC shunt motor. DC shunt motor Characteristics are modeled in s-function, the speed characteristic of motor is analyzed in open loop condition and closed loop condition without controller and Parameter controlling of PI & PID controller is designed by frequency response analysis. Design, analysis and implementation of PI & PID controller are conducted separately. The performances controllers such as rise time (tr), settling time (ts), steady state error, percent overshoot (%OS), and phase margin are compared to both controllers. Design and analysis of controller are verified by simulation, the results show that PID controller that applied speed control DC shunt motor is better than PI controller.


Author(s):  
Ivan Candra Utama

Abstract - The balancing ball system is a system where there is a ball that can move freely on a rod and the position of the ball move can be adjusted automatically according to the desired set point. The balancing ball system is a very important system in studying the control system. This is because the balancing ball system is an unstable system where the output of the system (ball position) always increases indefinitely for each input (rod angle) with a fixed value. Therefore, ball balancing systems require complex control theories. To be able to stabilize the balancing ball system, a controller is needed. In order to get the best controller, tuning the Integral Derifative (PID) controller parameter is done. In this tuning we can know the value of proportional gain (Kp), integral time (Ti) and derivative time (Td). The PID controller will give action to the balancing ball control based on the error obtained, the distance between the ultrasonic sensor and the desired ball is called the set point. LabVIEW software is used as a monitor, servo motor speed control. Keyword : Labview, Balance Ball, Arduino, Motor Servo, Ultrasonic Sensor


Author(s):  
Muhammad Apriliyanto ◽  
Miftachul Ulum ◽  
Koko Joni

<em>The process of folding clothes is one of the activities carried out in the laundry business or household. The activity is fairly easy but many people are still lazy to do it. As a result, clothes that have been washed will fall apart in certain rooms, thereby reducing the aesthetic value of a home. Semi Automatic T-Shirt Folding Machine is the right solution to make folding clothes easier and more time efficient. This tool is equipped with a servo motor that moves the folding board that has been designed in such a way that the user only needs to manghandle the shirt just once and simply push one button then the shirt will fold itself and will be neatly arranged through the clothes stacker board. The PID method is applied to DC motors that move under the clothes folder so that the buildup of clothes underneath will not be pressured upward when the clothes are piled up when they are folded. Ultrasonic sensor will measure the right height between the clothes with the door opening the stacking clothes with kp = 1, ki = 0.1, kd = 0.5 for thin clothes and kp = 5, ki = 1, kd = 2.5 for thick clothes so that the movement of the motor can adjust its speed . This tool can fold one shirt in 16.83 seconds 11 seconds faster than folding clothes manually</em>


Author(s):  
Andrean George W

Abstract - Control and monitoring of the rotational speed of a wheel (DC motor) in a process system is very important role in the implementation of the industry. PWM control and monitoring for wheel rotational speed on a pair of DC motors uses computer interface devices where in the industry this is needed to facilitate operators in controlling and monitoring motor speed. In order to obtain the best controller, tuning the Integral Derifative (PID) controller parameter is done. In this tuning we can know the value of proportional gain (Kp), integral time (Ti) and derivative time (Td). The PID controller will give action to the DC motor control based on the error obtained, the desired DC motor rotation value is called the set point. LabVIEW software is used as a PE monitor, motor speed control. Keyword : LabView, Motor DC, Arduino, LabView, PID.


The classical proportional integral derivative (PID) controllers are still use in various applications in industry. Magnetic levitation (ML) systems are rigidly nonlinear and sometimes unstable systems. Due to inbuilt nonlinearities of ML systems, tracking of position of ML Systems is still difficult. For the tracking purpose of position, PID controller parameters are found by choosing Cuckoo Search Algorithm (CSA) of optimization. The ranges of parameters are customized by z-n method of parameters. Simulation results show the tracking of position of ML systems using conventional and optimized parameters obtained with the CSA based controller.


2018 ◽  
Vol 15 (2) ◽  
pp. 93 ◽  
Author(s):  
Muhammad Fajar ◽  
Ony Arifianto

The autopilot on the aircraft is developed based on the mode of motion of the aircraft i.e. longitudinal and lateral-directional motion. In this paper, an autopilot is designed in lateral-directional mode for LSU-05 aircraft. The autopilot is designed at a range of aircraft operating speeds of 15 m/s, 20 m/s, 25 m/s, and 30 m/s at 1000 m altitude. Designed autopilots are Roll Attitude Hold, Heading Hold and Waypoint Following. Autopilot is designed based on linear model in the form of state-space. The controller used is a Proportional-Integral-Derivative (PID) controller. Simulation results show the value of overshoot / undershoot does not exceed 5% and settling time is less than 30 second if given step command. Abstrak Autopilot pada pesawat dikembangkan berdasarkan pada modus gerak pesawat yaitu modus gerak longitudinal dan lateral-directional. Pada makalah ini, dirancang autopilot pada modus gerak lateral-directional untuk pesawat LSU-05. Autopilot dirancang pada range kecepatan operasi pesawat yaitu 15 m/dtk, 20 m/dtk, 25 m/dtk, dan 30 m/dtk dengan ketinggian 1000 m. Autopilot yang dirancang adalah Roll Attitude Hold, Heading Hold dan Waypoint Following. Autopilot dirancang berdasarkan model linier dalam bentuk state-space. Pengendali yang digunakan adalah pengendali Proportional-Integral-Derivative (PID). Hasil simulasi menunjukan nilai overshoot/undershoot tidak melebihi 5% dan settling time kurang dari 30 detik jika diberikan perintah step.


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