scholarly journals Fractional-Order Water Level Control Based on PLC: Hardware-In-The-Loop Simulation and Experimental Validation

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 2928 ◽  
Author(s):  
Arkadiusz Mystkowski ◽  
Andrzej Kierdelewicz
Keyword(s):  
Fractional Order ◽  
Pid Control ◽  
Experimental Validation ◽  
Water Tank ◽  
Hardware In The Loop ◽  
Level Control ◽  
Integer Order ◽  
Gain Margin ◽  
Fractional Order Controller ◽  
Fractional Order Pid

An industrial-oriented water tank level control system with PLC- and Simulink-based fractional-order controller realizations is presented. The discrete fractional-order and integer-order PID implementations are realized via the PLC and Simulink simulator. The benefits of the fractional-order PID compared to the integer-order PID control are confirmed by the hardware-in-the-loop (HIL) simulations and experiments. HIL simulations are realized using real-time communication between PLC and Simulink. The fractional-order controller is obtained for a desired phase/gain margin and validated via HIL simulations and experimental measurements.

Tuning of PI λ Controllers Based on Gain and Phase Margins and its Application in Water Tank

2012 ◽  
Vol 263-266 ◽  
pp. 786-789
Author(s):  
De Jin Wang ◽  
Fu Qiang Zhang ◽  
Guo Juan Cai
Keyword(s):  
Fractional Order ◽  
Delay Systems ◽  
Phase Margin ◽  
Water Tank ◽  
Level Control ◽  
Stability Equation ◽  
Parameters Tuning ◽  
Gain Margin ◽  
Fractional Delay ◽  
Fractional Order Controller

This paper discusses the parameters tuning of fractional-order controller satisfying the desired gain-margin and phase-margin specifications in terms of a stability equation method applicable to fractional-delay systems. The tuning procedure is then applied to the level control of double water tank, which is modeled as a second-order transfer function with time-delay. The Matlab simulations and the experiments on the water tank device show the effectiveness of the tuning and the benefits of using fractional-order controllers.

Fractional-Order PID Controller of a Heating-Furnace System

2012 ◽  
Vol 490-495 ◽  
pp. 1145-1149 ◽  
Author(s):  
Yan Mei Wang ◽  
Yi Jie Liu ◽  
Rui Zhu ◽  
Yan Zhu Zhang
Keyword(s):  
Fractional Calculus ◽  
Fractional Order ◽  
Pid Control ◽  
Pid Controller ◽  
Control Method ◽  
Heating Furnace ◽  
Order Model ◽  
Integer Order ◽  
System A ◽  
Fractional Order Pid

This paper discusses the fractional-order controller of heating-furnace system, a new PID controller of heating-furnace system based on fractional calculus will be considered. Classical PID control method is also studied. Then, this paper presents the fractional-order PID control method based on integer-order model of heating-furnace system. Meanwhile, simulation study is done. Comparing the control methods and strategies of integer order model of the heating-furnace system, a conclusion is drawn that PID control based on fractional calculus is much more complex than that of integer order controller. Numerical simulations are used to illustrate the improvements of the proposed controller for the integer-order heating-furnace systems.

Fuzzy Logic Based Set-Point Weighting for Fractional Order PID Control

2013 ◽  
Vol 367 ◽  
pp. 369-376 ◽  
Author(s):  
R. Karthikeyan ◽  
Sreekanth Pasam ◽  
S. Sudheer ◽  
Vallabhaneni Teja
Keyword(s):  
Fractional Order ◽  
Dynamic Systems ◽  
Pid Control ◽  
Pid Controller ◽  
Research Community ◽  
Control Structures ◽  
Set Point ◽  
Integer Order ◽  
Second Order Systems ◽  
Fractional Order Pid

Differentiation and integration of non-integer order have drawn increasing attention in research community. Fractional order dynamic systems have been recognized as effective tool for characterizing the real world phenomena. This may be implemented by using different control structures in which a fuzzy mechanism is adopted to tune the parameters by using Ziegler-Nichols method. Fractional-order PID control is the development of general integer-order PID controller. This paper proposes the basic framework of fractional order dynamic system with fuzzy weighted set-point. Comparisons are made with PID and FOPID controllers for first and second order systems. The response shows the superiority of the fuzzy set-point weighting methodology over the other methods.

scholarly journals PLC-based discrete fractional-order control design for an industrial-oriented water tank volume system with input delay

2018 ◽  
Vol 21 (4) ◽  
pp. 1005-1026 ◽  
Author(s):  
Arkadiusz Mystkowski ◽  
Argyrios Zolotas
Keyword(s):  
Fractional Order ◽  
Controller Design ◽  
Industrial Process ◽  
Stability Margin ◽  
Input Delay ◽  
Volume Control ◽  
Water Tank ◽  
Test Bed ◽  
Integer Order ◽  
Fractional Order Controller

Abstract We present PLC-based fractional-order controller design for an industrial-oriented water tank volume control application. The system comprises input delay which is a typified characteristic in such industrial process control applications. The particular contribution of this work is on discrete fractional-order PID implementation via PLC and its application to the aforementioned realistic water tank test bed. Stability and robustness properties of fractional-order discrete PID feedback-loops for different approximation methods and orders are also shown. Fractional-order controllers are obtained for a variety of stability margin choices, and benefits of the non-integer-order controllers compared to the integer-order PID control are illustrated via simulation and experimental runs on a realistic test-bed.

scholarly journals Analytical design of the fractional order controller and robustness verification

2021 ◽  
Vol 10 (1) ◽  
pp. 10
Author(s):  
Sateesh K. Vavilala ◽  
Vinopraba Thirumavalavan
Keyword(s):  
Transfer Function ◽  
Fractional Order ◽  
Direct Synthesis ◽  
Synthesis Method ◽  
High Gain ◽  
Level Control ◽  
Loop Transfer Function ◽  
Gain Margin ◽  
Tank System ◽  
Fractional Order Controller

<div data-canvas-width="397.2227827050999">This paper proposes a fractional order controller (FOC) for the level control problem of the coupled tank system, using the desired time domain specifications. The coupled tank system is used in the chemical industries for the storage and mixing of liquids. The FOC is designed analytically using the direct synthesis method. In the direct synthesis method, the Bode's ideal loop transfer function is chosen as the desired transfer function. Bode's loop transfer function has the advantages like robustness to system gain variations, constant phase and very high gain margin. Performance of the proposed controller is compared with the state of the art literature. Simulation results showed that the proposed controller has the least peak overshoot. The robust performance of the proposed controller is also the best. Robust stability of the system with the proposed controller is verified, and the system is found to be robustly stable.</div>

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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