Identification and adaptive PID Control of a hexacopter UAV based on neural networks

2018 ◽  
Vol 33 (1) ◽  
pp. 74-91 ◽  
Author(s):  
Claudio Rosales ◽  
Carlos Miguel Soria ◽  
Francisco G. Rossomando
Keyword(s):  
Neural Networks ◽  
Pid Control ◽  
Adaptive Pid Control

Research on Single Neuron Adaptive PID Control

2012 ◽  
Vol 150 ◽  
pp. 174-177 ◽  
Author(s):  
Yan Hong Zhang ◽  
De An Zhao ◽  
Jian Sheng Zhang
Keyword(s):  
Neural Networks ◽  
Intelligent Control ◽  
Pid Control ◽  
Control Algorithm ◽  
Single Neuron ◽  
Control Parameters ◽  
Control Effect ◽  
The Common ◽  
Single Neuron Pid ◽  
Adaptive Pid Control

As a branch of the intelligent control, neural networks is applied in control more and more widely, the single neuron adaptive PID control algorithm is studied in this paper, and the program is written by MATLAB, the common object of single neuron adaptive PID is simulated, and the effect of single neuron adaptive PID control parameters on control effect is analyzed, experimental results show that the single neuron PID control has more obvious advantages than general PID control.

Adaptive PID control based on orthogonal endocrine neural networks

2016 ◽  
Vol 84 ◽  
pp. 80-90 ◽  
Author(s):  
Miroslav B. Milovanović ◽  
Dragan S. Antić ◽  
Marko T. Milojković ◽  
Saša S. Nikolić ◽  
Staniša Lj. Perić ◽  
...  
Keyword(s):  
Neural Networks ◽  
Pid Control ◽  
Adaptive Pid Control

Pressing speed stability control of a special ceramic roller bearing press based on fuzzy adaptive PID

2021 ◽  
pp. 1-16
Author(s):  
Lijie Yang ◽  
Guimei Wang ◽  
Huadong Zhang ◽  
Jiehui Liu ◽  
Yachun Zhang
Keyword(s):  
Pid Control ◽  
Simulation Analysis ◽  
Roller Bearing ◽  
Speed Control ◽  
Stability Control ◽  
Interference Signal ◽  
Ceramic Roller ◽  
Speed Stability ◽  
Adaptive Pid Control ◽  
Fuzzy Adaptive

A special ceramic roller bearing press (SCRBP) is developed to press two bearings efficiently and precisely at the same time. A speed control mathematical model of the bearing press is built to obtain stability bearing pressing speed. The fuzzy adaptive PID controller of the bearing pressing speed of SCRBP is designed. The simulation model is also built. Fuzzy adaptive PID control is compared with conventional PID control. By simulation analysis, the simulation results show that adjusting time of fuzzy adaptive PID control is short, and its overshoot is very small, almost coincides with the set pressing speed. Moreover, fuzzy adaptive PID is suitable for the pressing speed control of the bearing pressing speed system with step interference signal. The pressing stability speed is obtained by fuzzy adaptive PID control.

Research on Adaptive PID Control for Load Simulator with Varying Load

2014 ◽  
Vol 568-570 ◽  
pp. 1031-1035
Author(s):  
Ju Tian ◽  
Yao Chen
Keyword(s):  
Pid Control ◽  
Simple Structure ◽  
Control Method ◽  
Parameter Tuning ◽  
Hardware In The Loop ◽  
Tuning Method ◽  
Hydraulic Load ◽  
Variation Characteristics ◽  
Load Simulator ◽  
Adaptive Pid Control

The electro-hydraulic load simulator is an important equipment for aircraft hardware-in-the-loop simulation. An adaptive PID control method for compensating extraneous torque with simple structure and easy to implement is proposed according to the variation characteristics of load gradient in the load simulator. The control parameter tuning method is also given.

Sign in / Sign up

Export Citation Format

Share Document