Digital PID controller design for multivariable analogue systems with computational input-delay

2004 ◽  
Vol 21 (4) ◽  
pp. 433-456 ◽  
Author(s):  
Y. Zhang
Keyword(s):  
Pid Controller ◽  
Controller Design ◽  
Input Delay ◽  
Digital Pid ◽  
Pid Controller Design

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

Robust Fuzzy Digital PID Controller Design

2015 ◽  
pp. 226-259
Author(s):  
Danúbia Soares Pires ◽  
Ginalber Luiz de Oliveira Serra
Keyword(s):  
Pid Controller ◽  
Controller Design ◽  
Mathematical Formulation ◽  
Sufficient Conditions ◽  
Fuzzy Model ◽  
Uncertain System ◽  
Digital Pid ◽  
Pid Controller Design ◽  
Necessary And Sufficient ◽  
Takagi Sugeno

A robust fuzzy digital PID control methodology based on gain and phase margins specifications is proposed. A mathematical formulation based on gain and phase margins specifications, the Takagi-Sugeno fuzzy model of the process to be controlled, the structure of the digital PID controller, and the time delay uncertain system are developed. A multiobjective genetic strategy is defined to tune the fuzzy digital PID controller parameters, so the gain and phase margins specified to the fuzzy control system are found. An analysis of necessary and sufficient conditions for fuzzy digital PID controller design with robust stability, with the proposal of the two theorems, is presented. Experimental results show the efficiency of the proposed methodology in this chapter, applying a platform control in real time of a thermic process through tracking the reference and the gain and phase margins keeping closed the specified ones.

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.

Sign in / Sign up

Export Citation Format

Share Document