scholarly journals An FPGA-Based PID Controller Design for Chaos Synchronization by Evolutionary Programming

2011 ◽  
Vol 2011 ◽  
pp. 1-11 ◽  
Author(s):  
Her-Terng Yau ◽  
Yu-Chi Pu ◽  
Simon Cimin Li
Keyword(s):  
Pid Controller ◽  
Controller Design ◽  
Absolute Error ◽  
Evolutionary Programming ◽  
Gate Arrays ◽  
Digital Pid ◽  
Chaotic Model ◽  
Field Programmable ◽  
Pid Controller Design ◽  
Programmable Gate Arrays

This paper is concerned with the design of a field programmable gate arrays- (FPGAs-) based digital proportional-integral-derivative (PID) controller for synchronization of a continuous chaotic model. By using the evolutionary programming (EP) algorithm, optimal control gains in PID-controlled chaotic systems are derived such that a performance index of integrated absolute error (IAE) is as minimal as possible. To verify the system performance, basic electronic components, including OPA resistor and capacitor elements, were used to implement the chaotic Sprott circuits, and FPGA technology was used to implement the proposed digital PID controller. Numerical and experimental results confirmed the effectiveness of the proposed synchronization procedure.

DIGITAL PID CONTROLLER DESIGN FOR DELAYED MULTIVARIABLE SYSTEMS

2008 ◽  
Vol 6 (4) ◽  
pp. 483-495 ◽  
Author(s):  
Yongpeng Zhang ◽  
Leang-San Shieh ◽  
Cajetan M. Akujuobi ◽  
Warsame Ali
Keyword(s):  
Pid Controller ◽  
Controller Design ◽  
Multivariable Systems ◽  
Digital Pid ◽  
Pid Controller Design

A new approach to digital pid controller design

2003 ◽  
Vol 48 (4) ◽  
pp. 687-692 ◽  
Author(s):  
L.H. Keel ◽  
J.I. Rego ◽  
S.P. Bhattacharyya
Keyword(s):  
Pid Controller ◽  
Controller Design ◽  
New Approach ◽  
Digital Pid ◽  
Pid Controller Design

Digital PID controller design using ARX estimation

1996 ◽  
Vol 20 (11) ◽  
pp. 1317-1334 ◽  
Author(s):  
D.E. Rivera ◽  
S.V. Gaikwad
Keyword(s):  
Pid Controller ◽  
Controller Design ◽  
Digital Pid ◽  
Pid Controller Design

Optimal PID controller design with Kalman filter for Qball-X4 quad-rotor unmanned aerial vehicle

2016 ◽  
Vol 39 (12) ◽  
pp. 1785-1797 ◽  
Author(s):  
Feng Pan ◽  
Lu Liu ◽  
Dingyu Xue
Keyword(s):  
Mathematical Model ◽  
Kalman Filter ◽  
Unmanned Aerial Vehicle ◽  
Pid Controller ◽  
Closed Loop ◽  
Controller Design ◽  
Absolute Error ◽  
Pid Controller Design ◽  
Aerial Vehicle ◽  
Set Up

In this paper, we used a Qball-X4 quad-rotor unmanned aerial vehicle (UAV) which was developed by the Quanser Company as the experimental platform. First, a fundamental mathematical model of the Qball-X4 quad-rotor UAV was built and a simulation model was set up based on the proposed mathematical model; then, a double closed-loop optimal proportional–integral–derivative (PID) controller based on integral of time multiplied by absolute error (ITAE) indices was designed according to the model structure. In consideration of the possible system error and data delay, we designed a corresponding Kalman filter, which can estimate the target trajectory and be put before the proposed PID controller to ensure their validity. Finally, simulation results of the system with presented PID controller and Kalman filter were shown to verify their effectiveness.

scholarly journals Multi-Objective Digital PID Controller Design in Parameter Space and its Application to Automated Path Following

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Haoan Wang ◽  
Sukru Yaren Gelbal ◽  
Levent Guvenc
Keyword(s):  
Parameter Space ◽  
Pid Controller ◽  
Controller Design ◽  
Path Following ◽  
Multi Objective ◽  
Digital Pid ◽  
Pid Controller Design
Sign in / Sign up

Export Citation Format

Share Document