Performance Evaluation of Three PID Controller Tuning Algorithm on a Process Plant

Abstract

Accurate tuning of controller in industrial process operation is prerequisite to system smooth operation which directly reduce process variability, improved efficiency, reduced energy costs, and increased production rates. Performance evaluation of a model based PID controller tuning algorithm on a chemical process plant is presented in this paper. The control action of three different PID controller tuning algorithms namely; Hagglund-Astrom, Cohen and Coon, and Ziegler-Nichols on the process plant was examined in a closed loop control configuration under normal operating condition and in the face of disturbance. LabVIEW software was used to model a chemical process plant from open loop control test data. The time domain response analysis of the controllers shows that each tuning algorithm exhibit different time response. Ziegler-Nichols algorithm shows the best performance with fastest rise time, settling time and was able to restore the system back to normal operating condition in a short time when subjected to disturbance compare to Cohen & Coon controller and Hagglund-Astrom algorithm settings.

Performance evaluation of two degree of freedom conventional controller adopting the smith principle for first order process with dead time

“…Then, two control schemes with modified Smith predictor for first order process with dead time [8] are explained. These control schemes use PID/PI (proportional integral derivative/ proportional integral) Controller [9,10] as it is feasible and easy to implement. All the schemes are simulated using Simulink/Matlab software.…”

Evaluation of Various Digital Controllers for Forward Converter with Active Clamp

“…To design a digital controller by direct digital design method, first, it needs to transform continuoustime model of ACFC into Discrete time Model [14] and then need to design a digital controller directly in the digital domain by using matched pole zero method. With the help of matched pole-zero method continuous model of ACFC is transformed in to digital form.The Discrete-time Transfer functions of ACFC are shown in (13)(14)(15)(16)(17)(18)). The designed discrete-time model of ACFC is very suitable to design the digital controller directly by using Root locus technique.…”

“…From the above results, it is observed that we are able to get zero voltage regulation but again to improve performance of the converter two loop controllers are required [15][16][17]. Authors are presented a paper [15] to design a two loop controller for Forward Converter with the active clamp circuit.…”

Robustness Study of Fractional Order PID Controller Optimized by Particle Swarm Optimization in AVR System

“…AI techniques such as fuzzy logic , neural networks neural-fuzzy logic have been widely used to proper tuning of PID controller parameters [2]- [4]. Tuning of PID controller parameters in off line made easy with the advent of heuristic optimization techniques [5]- [7]. Genetic Algorithms and Particle swarm Optimization are very popularly used random search heuristic optimization techniques for tuning PID controller parameters [6], [8].…”