2020Unpublished venueRequires access

Design and Implementation of IMC based PID Control using Arduino for Process Control Application

Sushant N. Pawar, Rakesh P. Borase, Sharad P. Jadhav

Open publisher page 5 citations

Abstract

This paper provides a Proportional-Integral-Derivative (PID) Control Scheme based on Internal Model Control (IMC) for Process Control Applications. The IMC-based PID Control law is intended on the basis of an estimated process model. Since the simple PID controller is unable to predict the choice of tuning parameters based on the process model, whereas the IMC-based formulation demonstrates the impact of the process model on tuning. The presented IMC-based PID control technique is tested on empirical model of a real life-level tank scheme. The aim of this controller is to regulate the amount of fluid in the tank, which is to be adjusted to the required value by the input flow rate. IMC-based PID control scheme shows better performance than the internal model-based control in the frequency domain. The simulation results of both the controller techniques and the empirical results of the internal model based PID controller are presented for better comparison. The practical performance of IMC-based PID control is carried out for the process control application using Arduino with MATLAB.

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What this paper is about

This paper provides a Proportional-Integral-Derivative (PID) Control Scheme based on Internal Model Control (IMC) for Process Control Applications. The IMC-based PID Control law is intended on the basis of an estimated process model. Since the simple PID controller is unable to predict the choice of tuning parameters based on the process model, whereas the IMC-based formulation demonstrates the impact of the process model on tuning. The presented IMC-based PID control technique is tested on empirical model of a real life-level tank scheme. The aim of this controller is to regulate the amount of fluid in the tank, which is to be adjusted to the required value by the input flow rate. IMC-based PID control scheme shows better performance than the internal model-based control in the frequency domain. The simulation results of both the controller techniques and the empirical results of the internal model based PID controller are presented for better comparison. The practical performance of IMC-based PID control is carried out for the process control application using Arduino with MATLAB.

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Available abstract

This paper provides a Proportional-Integral-Derivative (PID) Control Scheme based on Internal Model Control (IMC) for Process Control Applications. The IMC-based PID Control law is intended on the basis of an estimated process model. Since the simple PID controller is unable to predict the choice of tuning parameters based on the process model, whereas the IMC-based formulation demonstrates the impact of the process model on tuning. The presented IMC-based PID control technique is tested on empirical model of a real life-level tank scheme. The aim of this controller is to regulate the amount of fluid in the tank, which is to be adjusted to the required value by the input flow rate. IMC-based PID control scheme shows better performance than the internal model-based control in the frequency domain. The simulation results of both the controller techniques and the empirical results of the internal model based PID controller are presented for better comparison. The practical performance of IMC-based PID control is carried out for the process control application using Arduino with MATLAB.

Key concepts: PID controller, Internal model, Control theory (sociology), Process (computing), Process control, Controller (irrigation), Arduino, Control engineering

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