scholarly journals Application of optimized adaptive crow search algorithm based two degree of freedom optimal fuzzy PID controller for AGC system

2021 ◽  
Author(s):  
Jyoti Ranjan Nayak ◽  
Binod Shaw ◽  
Binod Kumar Sahu ◽  
Karanam Appala Naidu
Keyword(s):  
Pid Controller ◽  
Search Algorithm ◽  
Degree Of Freedom ◽  
Fuzzy Pid ◽  
Fuzzy Pid Controller ◽  
Two Degree Of Freedom

A GSA-based adaptive fuzzy PID-controller for an active suspension system

2016 ◽  
Vol 33 (6) ◽  
pp. 1659-1667 ◽  
Author(s):  
Chun-Tang Chao ◽  
Ming-Tang Liu ◽  
Juing-Shian Chiou ◽  
Yi-Jung Huang ◽  
Chi-Jo Wang
Keyword(s):  
Pid Controller ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Suspension System ◽  
Fuzzy Pid ◽  
Content Type ◽  
Fuzzy Pid Controller ◽  
Fast Learning ◽  
Automobile Suspension ◽  
Hybrid Fuzzy Pid

Purpose – The purpose of this paper is to propose a novel design for determining the optimal hybrid fuzzy PID-controller of an active automobile suspension system, employing the gravitational search algorithm (GSA). Design/methodology/approach – The hybrid fuzzy PID-controller structure is an improvement to fuzzy PID-controller by incorporating a fast learning PID-controller. Findings – The GSA can adjust the parameters of the PID-controller to achieve the optimal performance. Research limitations/implications – The GSA may have the advantage of quick convergence, but the required computation may be intensive. Practical implications – The simulation results demonstrate the effectiveness of the proposed approach on active automobile suspension system. Originality/value – In order to demonstrate the theoretical guarantee of the proposed method, comparisons with particle swarm optimization or other methods has also been carried out.

scholarly journals Precision contouring control of five degree of freedom robot manipulators with uncertainty

2016 ◽  
Vol 14 (1) ◽  
pp. 172988141668270 ◽  
Author(s):  
Thanana Nuchkrua ◽  
Shyh-Leh Chen
Keyword(s):  
Pid Controller ◽  
Robot Manipulators ◽  
Operating Conditions ◽  
Degree Of Freedom ◽  
Control Performance ◽  
Fuzzy Pid ◽  
Proportional Integral Derivative ◽  
Excellent Performance ◽  
Fuzzy Pid Controller ◽  
Contouring Control

In this article, we apply a result in equivalent errors to a contouring control problem of five degree of freedom robot manipulators. The proposed technique, fuzzy Proportional Integral Derivative (PID) with the robust extended Kalman filter, is employed to stabilize the dynamic of equivalent errors of robot manipulators. The shape of membership functions and rules of fuzzy PID controller are tuned following operating conditions that make the control performance to improve significantly. A desired path in terms of the position of the end-effector of the robot manipulators is described in generalized coordinates defined by the dynamic of equivalent. The simulation and experimental results demonstrate the excellent performance of the proposed technique.

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