scholarly journals The stability of cannon position on tank prototype using PID controller

2021 ◽  
Vol 23 (3) ◽  
pp. 1565
Author(s):  
Dimas Farid Arief Putra ◽  
Ahmad Syahril Muharom
Keyword(s):  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Average Error ◽  
Average Value ◽  
The Stability

Tank is a war vehicle made of steel that can be operated on various fields. With various fields and a large amount of terrain that the tank had to pass, this made it necessary for the tank to be able to stabilize the cannon so that the cannon be able to fire right on the target. This study discusses the stability of the position of the cannon on the tank prototype using the PID control system. PID values are obtained by using the Ziegler-Nichols tuning formula and simulink. The system using Arduino MEGA 2560 as microcontroller, gyroscope & accelerometer for the feedback sensor and cannon that driven using three servos that representing the x-axis, y-axis and z-axis. The highest average error value is 4.67 degrees with an overall average value of 2.29 degrees and an accuracy percentage of 98% when the tank tilted randomly on the x-axis, y-axis and z-axis.

PID Control Based Missile Sub-Channel Simulation

2012 ◽  
Vol 433-440 ◽  
pp. 7011-7016 ◽  
Author(s):  
Chao Bo Chen ◽  
Bing Liu ◽  
Ning He ◽  
Song Gao ◽  
Quan Pan
Keyword(s):  
Control System ◽  
Real Time ◽  
Flight Control ◽  
Pid Control ◽  
Pid Controller ◽  
Channel Model ◽  
Control Method ◽  
Flight Control System ◽  
Aerodynamic Control ◽  
The Stability

The accuracy and real-time of modern missile flight control system of traditional aerodynamic can not be satisfied. In this paper a new method is presented to improve the accuracy and real-time of missiles under this condition. First of all, a missile sub-channel model of the dynamic equations and steering gear is established, then based on the established model, using PID controller to control steering gear and three channels of missile pitch, yaw, roll respectively which is called missile sub-channel PID control method, and finally making use of MATLAB/Simulink to complete the simulation. Simulation results show that compared with traditional aerodynamic control system, this method can reduce the response time of aerodynamic missile and enhance the stability of the control system obviously.

Simulation Analysis of Electro-Pneumatic Proportional Fuzzy-PID Control System Based on AMESim/Simulink

2014 ◽  
Vol 945-949 ◽  
pp. 2568-2572
Author(s):  
Si Yuan Wang ◽  
Guang Sheng Ren ◽  
Pan Nie
Keyword(s):  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Simulation Analysis ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Proportional Control ◽  
Fuzzy Pid Controller ◽  
Design Requirements ◽  
Set Up

The test rig for hydro-pneumatic converter used in straddle type monorail vehicles was researched, and its electro-pneumatic proportional control system was set up and simulated based on AMESim/Simulink. Compared fuzzy-PID (Proportion Integral Derivative) controller with PID controller through fuzzy logic tool box in Simulink, the results indicate that, this electro-pneumatic proportional control system can meet design requirements better, and fuzzy-PID controller has higher accuracy and stability than PID controller.

A Study of PID Control System Based on BP Neural Network

2011 ◽  
Vol 328-330 ◽  
pp. 1908-1911
Author(s):  
Wei Liu ◽  
Jian Jun Cai ◽  
Xi Pin Fan
Keyword(s):  
Neural Network ◽  
Control System ◽  
Conjugate Gradient ◽  
Bp Neural Network ◽  
Pid Control ◽  
Pid Controller ◽  
Steepest Descent ◽  
The Neural Network ◽  
On Line ◽  
New Type

To deal with the defects of the steepest descent in slowly converging and easily immerging in partialm in imum,this paper proposes a new type of PID control system based on the BP neural network, which is a combination of the neural network and the PID strategy. It has the merits of both neural network and PID controller. Moreover, Fletcher-Reeves conjugate gradient in controller can make the training of network faster and can eliminate the disadvantages of steepest descent in BP algorithm. The parameters of the neural network PID controller are modified on line by the improved conjugate gradient. The programming steps under MATLAB are finally described. Simulation result shows that the controller is effective.

Design of PID Controller Based on Compensation with Repetitive Control

2011 ◽  
Vol 105-107 ◽  
pp. 2125-2128
Author(s):  
Hong Liang Guo ◽  
Dong Jie Zhao ◽  
Ling Zhao ◽  
Qing Wang
Keyword(s):  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Combustion Engine ◽  
Permanent Magnet Synchronous Motor ◽  
Tracking Error ◽  
Repetitive Control ◽  
Valve Train ◽  
Accuracy Control ◽  
Loop Control

Valve train is one of important mechanisms in internal combustion engine. The experiment is an important method to study the valve train. In the design of valve train experiment, the Permanent-Magnet Synchronous Motor (PMSM) is used as the driving force to drive the camshaft. PID controller based on compensation with repetitive control is designed to control the PMSM. It can eliminate all periodic errors in closed-loop control. And it has a virtue of nonparametric dependence on its control performance by combining with two control methods. An example has been given and simulation has been made. The simulation result shows that the controller apparently improves the position tracking precision and reduces the tracking error of servo system. So the PID control system based on compensation with repetitive control has a much higher accuracy than the PID control system has. It is fit for high-accuracy control of valve train.

Research on Fuzzy Pid Control System of Temperatuer for Tertiary Air

2013 ◽  
Vol 341-342 ◽  
pp. 892-895
Author(s):  
Jun Chao Zhang ◽  
Shao Hong Jing
Keyword(s):  
Control System ◽  
Control Theory ◽  
Pid Control ◽  
Pid Controller ◽  
Dynamic Performance ◽  
Effective Control ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Self Tuning

The introduction of the AQC boiler has complex effects on the temperature of Tertiary air, traditional PID is difficult to achieve the effective control. Combined the method of the conventional PID with the fuzzy control theory, a fuzzy self-tuning PID controller is designed. Compared with traditional PID, results of simulation show that the fuzzy PID controller improves not only the adaptability and robustness of the system, but also the system's static and dynamic performance.

Fuzzy PID Control and Simulation of Wind Power Generation Yaw System

2014 ◽  
Vol 953-954 ◽  
pp. 353-356 ◽  
Author(s):  
Fan Yang ◽  
Tong Yang ◽  
Xiao Hong Yang
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Time Performance ◽  
System A ◽  
Self Tuning ◽  
Simulation Results ◽  
The Stability

Aimed at the high inertia and non-linear characteristics of yaw system, a parameter self –tuning fuzzy PID controller is designed. The controller can adjust the PID parameters based on the wind direction variation, and make the turbines track the coming wind timely to obtain maximum power output. Simulation results show that the controller has good real-time performance and robustness compared with the traditional PID control. It can lower the fluctuation and overshoot, and improve the stability of the yaw system significantly.

Application of Gain Scheduled PID Control in the Lithography Positioning System

2012 ◽  
Vol 220-223 ◽  
pp. 1752-1756
Author(s):  
Gui Rong Dong
Keyword(s):  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Structural Vibration ◽  
Positioning System ◽  
Mean Square ◽  
Positioning Control ◽  
System A ◽  
Gain Scheduled ◽  
Small Disturbances

According to the perturbation in lithography positioning control system, a novel gain scheduled PID controller using a root mean square (RMS) signal is proposed. Perturbation is also referred as the stage hunting, and the positioning control system will be very weak against small disturbances such as electrical noise or even structural vibration of the building in which the stage is installed. The gain scheduled PID controller is used to minimize the stage hunting and simultaneously maximize the immunity to disturbances. Simulations results verify the effectiveness of the gain scheduled PID controller for the positioning control in the lithography stage, as compared with the traditional PID controller.

scholarly journals STUDI NUMERIK SIMULASI ROBOT PEMBERSIH KACA PADA GEDUNG BERTINGKAT

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Balisranislam Balisranislam ◽  
I Nyoman Sutantra ◽  
Bambang Sampurno ◽  
Herry Sufyan Hadi
Keyword(s):  
Control System ◽  
Public Relations ◽  
Pid Control ◽  
Pid Controller ◽  
Circulation System ◽  
Natural Lighting ◽  
Pid Tuning ◽  
Human Labor ◽  
Glass Cleaning ◽  
Tuning Methods

<p><span lang="IN">Buildings have priority to support the comfort and public relations of air circulation system and natural lighting, where the most widely used system is glass. In general, the process of cleaning glass in multi-storey building using conventional labor is by human labor. This process is relatively simple but has a loss in work accidents. Therefore, this study discusses glass cleaning robots. the working system of moving the wheel of the robot directly, and the control system using PID control. Tuning PID using Zigler-Nichols and Find Tuning methods with Simulink. Based on the results of PID Controller Calculation using Zigler Nichols method, the value obtained Kp = 0,01446, Ki = 0,0000026, and Kd = 9524,35. While calculation of PID controller using PID tuning with simulink, obtained value Kp = 19,365, Ki = 13,115, and Kd = 5,699. The speed control system using the Zigler-Nichols method does not produce a good response, because the resulting response is still unstable. While PID control using Tuning can produce a good response with up time can be achieved within 1.39 seconds, over shoot by 8% and the exact completion time is 5 seconds</span></p><p> </p>

Fuzzy Immune PID Control for 6-DOF Parallel Platform

2011 ◽  
Vol 128-129 ◽  
pp. 890-893
Author(s):  
De Quan Zhu ◽  
Wen Hua Xie ◽  
Lei Sun
Keyword(s):  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Control Method ◽  
Feedback Mechanism ◽  
Least Square ◽  
Control Precision ◽  
On Line ◽  
Parallel Platform ◽  
Six Degree Of Freedom

To improve the control precision of six degree-of-freedom parallel platform, a fuzzy immune PID control method was presented based on the immune feedback mechanism and fuzzy control theory, and the parameters of PID controller was optimized with hybrid algorithm. First, least square algorithm was used for off-line optimization to form immune feedback control system. Then, genetic algorithm was used for on-line optimization to get the optimal performance parameters of immune PID control system and the optimal fuzzy proportional parameters. Simulation results demonstrated that the control method designed gets tracking effect with high precision and speed.

Digital Automatic Control System with PID Controller

1970 ◽  
Vol 110 (4) ◽  
pp. 13-16
Author(s):  
A. Petrovas ◽  
S. Lisauskas ◽  
R. Rinkeviciene
Keyword(s):  
Control System ◽  
Automatic Control ◽  
Design Process ◽  
Automatic Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Control Algorithm ◽  
General Purpose ◽  
Simulation Results

The design process of digital automatic control system with PID controller is considered. The solution of problems related with implementation of PID control algorithm into general purpose 8-bit microcontroller is discussed. Simulation results demonstrating performance of system are presented. Ill. 4, bibl. 6, tabl. 3 (in English; abstracts in English and Lithuanian).http://dx.doi.org/10.5755/j01.eee.110.4.277

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