Tuning the Fractional Order PID Controller in the Forced Air Heating System Using Biologically Inspired algorithms

2020 ◽  
pp. 135-146
Author(s):  
Klaudia Dziedzic
Keyword(s):  
Fractional Order ◽  
Pid Controller ◽  
Heating System ◽  
Biologically Inspired ◽  
Air Heating ◽  
Biologically Inspired Algorithms ◽  
Forced Air ◽  
Fractional Order Pid ◽  
Fractional Order Pid Controller

scholarly journals The Fractional Order PID Control of the Forced Air Heating System

2019 ◽  
Vol 23 (1) ◽  
pp. 5-10 ◽  
Author(s):  
Krzysztof Oprzędkiewicz ◽  
Maciej Podsiadło
Keyword(s):  
Fractional Order ◽  
Pid Control ◽  
Heating System ◽  
Air Heating ◽  
Forced Air ◽  
Fractional Order Pid

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
Sign in / Sign up

Export Citation Format

Share Document