scholarly journals PERFORMANCE ANALYSIS FUZZY-PID VERSUS FUZZY FOR QUADCOPTER ALTITUDE LOCK SYSTEM

2015 ◽  
Vol 77 (22) ◽  
Author(s):  
Hendi Wicaksono ◽  
Yohanes Gunawan ◽  
Arbil Yodinata ◽  
Leonardie Leonardie
Keyword(s):  
Performance Analysis ◽  
Fuzzy Control ◽  
Control Method ◽  
Fuzzy Controller ◽  
Sensor Data ◽  
Fuzzy Pid ◽  
Motor Speed ◽  
Fuzzy Pid Control ◽  
Comparative Performance ◽  
The Stability

Mostly quadcopter has a flight controller to receive signal from remote control to control four brushless motor speed. In this paper, the researchers introduced a new control method to make quadcopter altitude lock system using Fuzzy-PID and perform a comparative  performance analysis between the Fuzzy controller and the new Fuzzy-PID controller. Fuzzy controller has ability to solve uncertainty within the system, by incorporating with altitude sensor data. On the other hand, Fuzzy-PID has the ability to gain the target level with Kp, Ki, Kd values controlled. In this paper the researchers present an analysis to compare the control method between Fuzzy and Fuzzy-PID with regards to the stability altitude lock system. The stability of the altitude lock system can be measured by how small the oscillations occurred. Fuzzy control has shown to produce better result than Fuzzy-PID control. Fuzzy control has 14 cm as its average oscillation, while Fuzzy-PID recorded 24 cm as its average oscillation.  

Research on Self-Tuning Fuzzy PID Control Strategy of Metallurgy Furnace Temperature

2012 ◽  
Vol 472-475 ◽  
pp. 3063-3066
Author(s):  
Rong Luo ◽  
Lun Wei Chen ◽  
Hong Bo Ren ◽  
Cheng Yu Liu
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
Control Algorithm ◽  
Control Method ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Furnace Temperature ◽  
Advantages And Disadvantages ◽  
Self Tuning ◽  
Concrete Control

Aim at the effect of the control method in traditional metallurgy furnace temperature is not good, a self-tuning fuzzy PID control method combining fuzzy control with PID control was proposed in this paper based on the analysis of the advantages and disadvantages of the PID control and fuzzy control method, and a concrete control algorithm was put forward and simulation experiment was finished. The simulation results show that the effect of the controller is good, and the control of system is fast and smoothly according to it.

scholarly journals A New Adaptive Fuzzy PID Control Method and Its Applicance in FCBTM

2016 ◽  
Vol 11 (3) ◽  
pp. 394 ◽  
Author(s):  
Jingang Lai ◽  
Hong Zhou ◽  
Wenshan Hu
Keyword(s):  
Control Method ◽  
External Disturbance ◽  
Testing Machine ◽  
Three Dimensional ◽  
Test Results ◽  
Motor Speed ◽  
Fuzzy Pid Control ◽  
Adaptive Fuzzy ◽  
The Stability ◽  
Adaptive Fuzzy Pid Control

<p class="Abstract">The process of tension control for material testing using the Flexible ircuit Board testing machine (FCBTM) is featured with multi-variable, nonlinearity, ime delays and time variation. In order to ensure the tension precision, the stability of ervo motor’ speed and the reliability of test results, this paper establishes an accurate ystem model for the FCBTM, in which a novel three-dimensional adaptive fuzzy ID controller is designed. Specially, the simulation results show that the proposed daptive fuzzy control method is not only robust to the external disturbance but also ith more excellent dynamic and steady-state characteristics than traditional ones.</p>

Brushless DC Motor Speed Control System Based on Fuzzy PID Control

2014 ◽  
Vol 989-994 ◽  
pp. 3172-3176
Author(s):  
Yi Hui Zhang ◽  
Le Peng Song
Keyword(s):  
Control System ◽  
Pid Control ◽  
Control Method ◽  
Speed Control ◽  
Dc Motor ◽  
Fuzzy Pid ◽  
Motor Speed ◽  
Fuzzy Pid Control ◽  
Brushless Dc ◽  
Speed Control System

Brushless DC mo tor speed control system is a multivariate, strong coupling, non linear, time-varying complex system, but adopting traditional PID control method to carry ou t control is difficult to achieve good control effect A kind of PID controller with fuzzy algorithm setting on-line PID parameters automatically was designed and applied in brush less DC motor speed control system, using the voltage , speed and torque equation of brush less DC motor, according to the parameters of the mo tor, the controler adopts fuzzy theory to adjust the PID parameters, in order to obtain high-precision speed control Results of simulation experiment show that the fuzzy PID control method compared with normal PID control is with better control performance, non overshoot quick velocity response, higher control precision and good rubustness, which is insensitive to the parameter chattering and many disturbances.

Development of a Novel Robotic Catheter Manipulating System with Fuzzy PID Control

2012 ◽  
Vol 2 (2) ◽  
pp. 58-77 ◽  
Author(s):  
Xu Ma ◽  
Shuxiang Guo ◽  
Nan Xiao ◽  
Jian Guo ◽  
Shunichi Yoshida ◽  
...  
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
Control Method ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fast Reactions ◽  
Control Rules ◽  
Remote Operations ◽  
Intense Radiation ◽  
Better Than

Manual operation of steerable catheter is inaccurate in minimally invasive surgery, requiring dexterity for efficient manipulation of the catheter, and it exposes the surgeons to intense radiation. The authors’ objectives are to develop a robotic catheter manipulating system that replaces the surgeons with high accuracy. Increasing demands for flexibility and fast reactions in a control method, fuzzy control (FC) can play an important role because the experience of experts can be combined in the fuzzy control rules to be implemented in the systems. They present a practical application of a fuzzy PID control to this developed system during the remote operations and compare with the traditional PID (Proportional-Integral-Derivative Controllers) control experimentally. The feasibility and effectiveness of the control method are demonstrated. The synchronous manipulation performance with the fuzzy PID control is much better than using the conventional PID control method during the remote operations.

The Research of Fuzzy-PID Control Based on Grey Predition for AUV

2012 ◽  
Vol 246-247 ◽  
pp. 888-892 ◽  
Author(s):  
Qi Li ◽  
Xiu Hua Shi ◽  
Zhi Qiang Kang
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
Control Method ◽  
High Accuracy ◽  
Grey Model ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fast Speed ◽  
Adaptive Property ◽  
Heading Control

The complexity of sea environment and the uncertainty of AUV model lead to difficulties of heading control. It is difficult to satisfy its requirement for high accuracy and fast speed through the use of a single control method, based on the peculiarity of AUV and the existing problem of control, We propose a fuzzy-PID control method based on a grey model, which combines fuzzy control with PID control, Our simulations confirm that our method provides higher robustness and adaptive property than regular PID, it is suitable for the use of AUV in complexity sea environment.

The Environment Monitoring System of Refuge Cabin and its Simulation Based on Fuzzy-PID Algorithm

2014 ◽  
Vol 568-570 ◽  
pp. 1113-1121 ◽  
Author(s):  
Huai Chao Yan ◽  
Lin Jie Li ◽  
Jun Ge Huang
Keyword(s):  
Fuzzy Control ◽  
Monitoring System ◽  
Pid Control ◽  
Control Method ◽  
Stable Operation ◽  
Control Technology ◽  
Environment Monitoring ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Environmental Monitoring System

In order to improve people's chances of survival, Multifunctional fire refuge compartment, a kind of emergency equipment, was invented when a high-rise building breaking out of fire. One key component of it is the environmental monitoring system of refuge cabin. Meanwhile, to ensure that the refuge chamber system can respond quickly and be stable operation, it takes an kind of intelligent control technology which combined with traditional PID control(Proportion、Integration、Differentiation)and fuzzy control technology, namely fuzzy PID control to regulate. In this paper, combined with the fuzzy control technology, we discuss the fuzzy self-tuning PID control method of refuge cabin environment monitoring system. Try to make digital processing of control system by MCU(Micro Control Unit), we use the Simulink and Fuzzy toolbox in MATLAB to simulate the refuge compartment cooling system which using the fuzzy PID control method and compare with the conventional PID control. The result shows that Fuzzy-PID control method reduces the overshoot of the system, shortens the settling time, decreases steady-state deviation, improves the static and dynamic characteristics of the system effectively. Finally, it can enhance the reliability and adaptability of the system.

Research and Application of Fuzzy Control in Boiler Combustion System Based on ACA

2012 ◽  
Vol 461 ◽  
pp. 642-646
Author(s):  
Chen Wu ◽  
Guo Huan Lou
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
Ant Colony Algorithm ◽  
Control Method ◽  
Linear Time ◽  
Control Parameters ◽  
Combustion System ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Control Rules

In the complex control processes of the industrial boiler combustion system with non-linear, time-varying and multivariable, aim at the original control parameters fixed, slow response, delay regulation and other problems, this paper introduces a control method that combines ant colony algorithm with fuzzy PID control, improves the design of fuzzy control rules table and optimizes the PID control parameters. Simulation results show that this control scheme is superior to conventional PID control and fuzzy PID control.

Intelligent Information of TS Fuzzy PID Control System of BLDCM

2013 ◽  
Vol 846-847 ◽  
pp. 313-316 ◽  
Author(s):  
Xiao Yun Zhang
Keyword(s):  
Control System ◽  
Dynamic Model ◽  
Pid Control ◽  
Control Method ◽  
Design Method ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Control Precision ◽  
Simulation Results ◽  
Intelligent Information

This paper presented a new method based on the Fuzzy self - adaptive PID for BLDCM. This method overcomes some defects of the traditional PID control. Such as lower control precision and worse anti - jamming performance. It dynamic model of BLDCM was built, and then design method for TS fuzzy PID model is given, At last, it compared simulation results of PID control method with TS Fuzzy PID control method. The results show that the TS Fuzzy PID control method has more excellent dynamic antistatic performances, as well as anti-jamming performance. The experiment shows that TS fuzzy PID control has the stronger adaptability robustness and transplant.

Energy Management System Optimal Strategy for Pure Electric Vehicle Based on the Dynamic Programming

2014 ◽  
Vol 556-562 ◽  
pp. 1472-1475 ◽  
Author(s):  
Bing Dong ◽  
Yan Tao Tian ◽  
Chang Jiu Zhou
Keyword(s):  
Dynamic Programming ◽  
Fuzzy Control ◽  
Electric Vehicle ◽  
Energy Management ◽  
Management System ◽  
Control Method ◽  
Fuzzy Controller ◽  
Adaptive Fuzzy Control ◽  
Energy Management System ◽  
Fuzzy Control Strategy

This thesis puts forward one optimal adaptive fuzzy control method based on the pure electric vehicle energy management system of the fuzzy control which has been founded already. By adding an optimizing researching model based on the conventional fuzzy control strategy, the thesis can pick up the valuable control rules based on the dynamic programming theory and also can adjust the parameter of the fuzzy controller automatically according to the system operating. These can make the sum of the energy loss reduce to the min. The experiment points out that this method makes the vehicle possess good economic performance in the same driving cycle.

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