Abstract

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.

Highlights

  • The majority of control systems use simple PI/PD/PID-type feedback loops

  • We present a rigorous study of a fractional-order discrete-time linear PID-type control design for an industrial process

  • The paper presented a study on discrete-time programmable logic controller (PLC)- and Simulink-based integer-order and fractional-order PID (DPID/DFOPID) control designs for water level process control

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Summary

Introduction

The majority of control systems use simple PI/PD/PID-type feedback loops. Model-based design. The obtained results showed that the FOPID-based controller can achieve smaller overshoot and faster convergence in comparison with the integer-order PID controller. We present a rigorous study of a fractional-order discrete-time linear PID-type control design for an industrial process. A particular highlight of this paper is the implementation of the fractional-order controller on a programmable logic controller (PLC) and on a Simulink simulator. The integer-order and fractional-order discrete PID controller designs are verified by HIL simulations and experimental measurements. In the HIL setup, the integer-order and fractional-order controllers are realized using the PLC and Simulink simulator. The integer-order and fractional-order PID-type controllers are implemented on the PLC of the MPS R PA compact workstation developed by Festo.

System Modeling
System Performances in the Frequency Domain
Experimental Results and Discussions
Conclusions
Full Text
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