Neural Generalized Predictive Controller and internal model principle

Author

Abdel-Ghaffar, Hesham ; Hammad, Sherif ; Abbas, Hazem ; Badr, A.Z. ; Hassan, Ahmed

Author_Institution

SCADA Group Head, Invensys Eng. & Service, Cairo, Egypt

fYear

2011

fDate

10-10 Sept. 2011

Firstpage

110

Lastpage

115

Abstract

This paper derived a new formulation for Lyapunov stability analysis of Neural Generalized Predictive Controller (NGPC). Paper also applied simple technique to improve NGPC stability by using internal model of disturbance in feed forward. Finally, paper presents comparison study for the effect of using internal model principle with severe nonlinear process under different bounded disturbances. Calculation of IAE, ISE and differential Lyapunov function is used to verify stability enhancement during simulation.

Keywords

Lyapunov methods; feedforward; neurocontrollers; nonlinear control systems; predictive control; stability; IAE calculation; ISE calculation; Lyapunov stability analysis; NGPC stability improvement; bounded disturbances; differential Lyapunov function; feedforward; internal disturbance model; internal model principle; neural generalized predictive controller; nonlinear process; Predictive models; Stability analysis; Training; Cost Function Minimization; Internal Model Principle; Lyapunov Stability; Neural Generalized Predictive Controller;

fLanguage

English

Publisher

ieee

Conference_Titel

Automation and Computing (ICAC), 2011 17th International Conference on

Conference_Location

Huddersfield

Print_ISBN

978-1-4673-0000-1

Type

conf

Filename

6084911