Improved quantum bacterial foraging algorithm for tuning parameters of fractional-order PID controller

2018 ◽  
Vol 29 (1) ◽  
pp. 166-175 ◽  
Author(s):  
Lu LIU ◽  
◽  
Liang SHAN ◽  
Yuewei DAI ◽  
Chenglin LIU ◽  
...  
Keyword(s):  
Fractional Order ◽  
Pid Controller ◽  
Tuning Parameters ◽  
Bacterial Foraging ◽  
Bacterial Foraging Algorithm ◽  
Fractional Order Pid ◽  
Fractional Order Pid Controller

scholarly journals HELICOPTER FRACTIONAL ORDER PID CONTROLLER BASED THE TECHNIQUE OF BACTERIAL FORAGING

2020 ◽  
Vol 5 (11) ◽  
Author(s):  
Ghassan A. Sultan ◽  
Keyword(s):  
Fractional Order ◽  
Pid Controller ◽  
Optimization Technique ◽  
Global Improvement ◽  
Synthesis Algorithm ◽  
Bacterial Foraging ◽  
Objective Performance ◽  
Three Degree Of Freedom ◽  
Fractional Order Pid ◽  
Fractional Order Pid Controller

The theory of algorithm for improving bacterial feed is considered one of the important theories in advanced research and has been widely accepted for a global improvement algorithm to solve problems of control in improvement research in non-linear systems, which have become among the interests of researchers in this field .In our work, a new method for design of a bacteria foraging algorithm principle based on Proportional-integral-derivative controller (PID) for three degree of freedom (3DoF) helicopter system. This paper presents a method to stabilize pitch, roll and travel angle of the helicopter system using optimization technique based on bacterial foraging (BF) algorithm is used to tune the fractional order PID controller parameters by reducing the objective performance parameters. Transient and constant case responses are found to be appropriate. The result reveals that BF provides a good synthesis algorithm. In addition, BF-FOPID works better than BF-PID controller for the 3DoF helicopter model.

scholarly journals Kalman Filter and Variants for Estimation in 2DOF Serial Flexible Link and Joint Using Fractional Order PID Controller

2021 ◽  
Vol 11 (15) ◽  
pp. 6693
Author(s):  
Sagar Gupta ◽  
Abhaya Pal Singh ◽  
Dipankar Deb ◽  
Stepan Ozana
Keyword(s):  
Kalman Filter ◽  
Fractional Order ◽  
Pid Controller ◽  
Degree Of Freedom ◽  
Flexible Link ◽  
System Properties ◽  
Tool Position ◽  
Fractional Order Pid ◽  
Two Degree Of Freedom ◽  
Fractional Order Pid Controller

Robotic manipulators have been widely used in industries, mainly to move tools into different specific positions. Thus, it has become necessary to have accurate knowledge about the tool position using forward kinematics after accessing the angular locations of limbs. This paper presents a simulation study in which an encoder attached to the limbs gathers information about the angular positions. The measured angles are applied to the Kalman Filter (KF) and its variants for state estimation. This work focuses on the use of fractional order controllers with a Two Degree of Freedom Serial Flexible Links (2DSFL) and Two Degree of Freedom Serial Flexible Joint (2DSFJ) and undertakes simulations with noise and a square wave as input. The fractional order controllers fit better with the system properties than integer order controllers. The KF and its variants use an unknown and assumed process and measurement noise matrices to predict the actual data. An optimisation problem is proposed to achieve reasonable estimations with the updated covariance matrices.

Exploiting Fractional Order PID Controller Methods in Improving the Performance of Integer Order PID Controllers: A GA Based Approach

2009 ◽  
Author(s):  
Bijoy K. Mukherjee ◽  
Santanu Metia ◽  
Sio-Iong Ao ◽  
Alan Hoi-Shou Chan ◽  
Hideki Katagiri ◽  
...  
Keyword(s):  
Fractional Order ◽  
Pid Controller ◽  
Pid Controllers ◽  
Integer Order ◽  
Fractional Order Pid ◽  
Fractional Order Pid Controller
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