The design and implementation of a fuzzy gain-scheduled PID controller for the Festo MPS PA compact workstation liquid level control

One of the main problem in process industries is to control process parameters due to their nonlinear behaviour. Control in the level of liquid in a nonlinear spherical tank is challenging due to variation in the cross section area with height. This paper is about the controlling of liquid level in a nonlinear Dual Spherical Tank Liquid Level System (DSTLLS) using Gain Scheduled PI controller (GPIC).The performance indices like ISE, IAE and time domain calculations similar to rise time, peak time and settling time are also calculated in this paper, for different servo and regulatory tracking cases. This research paper gives details about implementation and performance analysis of real time GPIC for DSTLLS by using LabVIEW.

https://www.enggjournals.com/ijet/docs/IJET14-06-05-208.pdf

Real Time Implementation of Gain Scheduled Controller Design for Higher Order Nonlinear System Using LabVIEW

Objective: To design PID controller with different tuning methods for pH Neutralization process. Methods: Controlling of pH in neutral region is an important process as small change in input gives the huge change in the output. The PID controller is designed using three different tuning methods like Marlin method, Smith et al. method and Branica et al. method. The performance analysis is done for PID controllers in Acid, Neutral and Base region by keeping set point in 5, 7 and 12. Findings: From the simulation result it is found that Branica et al. method is better when compared to the other two methods. Applications/Improvements: pH Neutralization process is more important in waste water treatment, pharmaceuticals, food production etc.

Designing of PID Controllers for pH Neutralization Process

In this paper a real time Single Spherical Tank Liquid Level System (SSTLLS) has been chosen for investigation. This paper describes the design and development of a Multi Model PI Controller (MMPIC) using classical controller tuning techniques for a single spherical nonlinear tank system. System identification of these different regions of nonlinear process are done using black box modeling, which is identified to be nonlinear and approximated to be a First Order Plus Dead Time (FOPDT) model. A proportional and integral controller is designed using LabVIEW and Chen-Hrones-Reswick (CHR), Zhuang-Atherton (ZA), and Skogestad’s Internal Model Controller (SIMC) tuning methods are implemented in real time. The paper provides the details about the data acquisition unit, shows the implementation of the controller, and comparision of the results of PI tuning methods used for an MMPI Controller.

Experimental Validation of a Multi Model PI Controller for a Non Linear Hybrid System in LabVIEW

In this paper, a robust setpoint tracking disturbance rejection and aggressiveness (RTD-A) controller is designed and developed to control the liquid level of a conical tank process. Meta-heuristic algorithms like grey wolf optimization and the genetic algorithm are used to tune the parameters of the RTD-A controller. Its performance is later compared with that of the conventional standard proportional integral derivative controller. The gain scheduled RTD-A controller is designed and implemented on a nonlinear conical tank process. Also, various performances attributes such as the integral square error, integral absolute error, integral time absolute error, rise time, and settling time are calculated for the first-order process and conical tank process. The servo responses with RTD-A are also compared against the responses recorded from the conventional control schemes.

/pdf/gain-scheduling-of-a-robust-setpoint-tracking-disturbance-16mojehhm0.pdf

Gain Scheduling of a Robust Setpoint Tracking Disturbance Rejection and Aggressiveness Controller for a Nonlinear Process

Design and Implementation of Non Linear System Using Gain Scheduled PI Controller

Objective: The objective is to design PSO based I-PD Controller and PID Controller for a nonlinear system. The nonlinear system selected is Interacting Spherical Tank System. Methods: Controlling of a nonlinear system is an important process. The PID Controller and PSO based I-PD controller are designed for the non linear systems selected and the error values are calculated. The comparison of performance between these two controllers is done and result is produced. Findings: From the simulation result it is inferred that PSO based I-PD controller gives smooth response when compared to PID controller whereas error indices are less in PID controller. Applications: The spherical Tank is widely used in petrochemical industries, paper making industry, water treatment industries.

Design of PSO based I-PD Controller and PID Controller for a Spherical Tank System

Minimizing friction and wear is one of the continuing challenges in many mechanical industries. Recent research efforts have been focused on accelerating the antifriction and antiwear properties of hard coatings through the incorporation of self-lubricant materials or the development of new architectures. In this present study, carbon-rich MoC, MoCN, and multilayer MoC/MoCN coatings were deposited using reactive magnetron sputtering. X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), and Raman spectroscopy were used to evaluate their properties, which revealed the presence of ceramic cubic crystallites, covalent bonds between primary elements, and an excess of amorphous carbon (a-C) in all of the coatings. The multilayer architecture and possible segregation of a-C around the ceramic crystallites resulted in improved mechanical properties for all coatings, with MoC/MoCN coatings having a maximum hardness of 21 GPa and elastic modulus of 236 GPa. Friction and wear behavior are initially determined by the structural-composition-property relationships of the respective coatings; later, the tribological characteristics are altered depending on the nature of tribolayer on both mating surfaces at the contact interface. The highest wear resistance of multilayer MoC/MoCN coating (8.7 × 10-8 mm3/N m) and MoC coating (3.9 × 10-7 mm3/N m) was due to the dissipation of contact stress by the tribofilm consisting of carbon tribo products like graphitic sp2 carbon, diamond-like sp3 carbon, and pyrrolic-N. On the other hand, MoCN coating depicted a lower wear resistance due to the frequent termination of C-H bonds by N, which restricts the strong formation of tribofilms as well as poor mechanical properties.

https://zenodo.org/record/7494374/files/ACS%20AMI%20Kumar%20Manuscript-submitted.pdf

Probing the Impact of Tribolayers on Enhanced Wear Resistance Behavior of Carbon-Rich Molybdenum-Based Coatings.

The primary objective of this research paper is to develop a dynamic nonlinear pH neutralization process model, based on physical and chemical principles that can represent the specific pH neutralization pilot plant. The accuracy of this model should be sufficient to allow development of conventional and advanced control systems through simulation for subsequent implementation and testing on the plant itself. The pH neutralization process is modeled based on the reaction between strong basic solution (NaoH) and strong acidic solution (H2SO4) in Continuous Stirred Tank Reactor (CSTR). From open loop response pH system is considered as First Oder plus Dead time process. Comparison was made between four strategies like ZN, Fruehauf et al, Original IMC and Min ISTSE tuning Methods of PI and PID controllers. From the simulation results Error Indices and Time domain specifications where calculated for different tunings methods of PI and PID controller.

D. Dinesh Kumar

Papers

Design and Implementation of Non Linear System Using Gain Scheduled PI Controller

Design of PSO based I-PD Controller and PID Controller for a Spherical Tank System

Designing of PID Controllers for pH Neutralization Process

Probing the Impact of Tribolayers on Enhanced Wear Resistance Behavior of Carbon-Rich Molybdenum-Based Coatings.

Performance Comparison of pH Neutralization Process among Different Tunings of Conventional Controllers