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Dual estimation and combination of state and output feedback based robust adaptive NMBC control scheme on non-linear process

  • Atanu PandaEmail author
  • Shinjinee Goswami
  • Rames C. Panda
Article
  • 35 Downloads

Abstract

A robust adaptive non-linear model based control schemes have been carried out in this work. The control strategy has been implemented on various benchmark non-linear processes. The servo performance of the proposed control schemes were found satisfactory. In order to improve regulatory performance, both model state(s) and parameter(s) have been estimated on-line sequentially with the help of a derivative free Kalman filter and the predicted values of model state(s) have been used to formulate proposed control law. The performances and superiority of the proposed control schemes have been discussed and compared with conventional adaptive PI control scheme. From the extensive simulation studies, it can be concluded that proposed control schemes implemented on the non-linear processes are having better performance and goodness over conventional adaptive PI control scheme. It was also observed that proposed control schemes are able to eliminate measurement noise and also having good robustness features.

Keywords

NMBC DUKF State and output feedback Conventional PI control 

Abbreviations

AUKF

Augmented unscented Kalman filter

CSTR

Continuous stirred tank reactor

CA-PI

Conventional adaptive proportional and integral

DUKF

Dual unscented Kalman filter

EKF

Extended Kalman filter

GS

Gain-scheduled

ISE

Integral squared error

MBC

Model based control

MPC

Model predictive control

MRAC

Model reference adaptive control

NIMC

Non-linear internal model based control

NMBC

Non-linear model based control

NMPC

Non-linear model predictive control

NN

Neural network

IMC

Internal model control

PID

Proportional integral derivative

PS1

Proposed scheme1

PS2

Proposed scheme2

PS3

Proposed scheme3

STR

Self-tuning regulator

TV

Total variation

UKF

Unscented Kalman filter

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Atanu Panda
    • 1
    Email author
  • Shinjinee Goswami
    • 2
  • Rames C. Panda
    • 3
  1. 1.Department of Electronics and Communication EngineeringInstitute of Engineering and ManagementSalt Lake, KolkataIndia
  2. 2.Department of Electronics and Communication EngineeringNetaji Subhash Engineering CollegeGaria, KolkataIndia
  3. 3.Department of Chemical EngineeringCSIR-Central Leather Research InstituteChennaiIndia

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