Methods for controller tuning for unstable systems

Author

Vasickaninova, Anna ; Bakosova, Monika ; Karsaiova, Maria ; Kmetova, Jana

Author_Institution

Inst. of Inf. Eng., Slovak Univ. of Technol. in Bratislava, Bratislava, Slovakia

fYear

2013

fDate

18-21 June 2013

Firstpage

208

Lastpage

213

Abstract

The paper deals with tuning of controllers for unstable plants. The controllers are presented for two types of plants: the unstable first order system and the unstable second order system, both with the uncertain plant gain. The control system design based on the algebraic approach using polynomials, the internal model control (IMC) structure and neuro-fuzzy inference system controller is used. The designed controllers are verified and compared by simulations on illustrative examples. The presented results show satisfactory control responses for the tracking of the step reference as well as for the step load disturbance attenuation.

Keywords

control system synthesis; fuzzy control; fuzzy neural nets; fuzzy reasoning; industrial plants; neurocontrollers; polynomials; process control; uncertain systems; IMC structure; algebraic approach; control responses; control system design; controller tuning methods; internal model control structure; neuro-fuzzy inference system controller; polynomials; step load disturbance attenuation tracking; step reference tracking; uncertain plant gain; unstable first-order system; unstable second-order system; Control systems; Fuzzy logic; Load modeling; Polynomials; Process control; Simulation; Transfer functions; IMC structure; algebraic approach; fuzzy logic control; unstable process;

fLanguage

English

Publisher

ieee

Conference_Titel

Process Control (PC), 2013 International Conference on

Conference_Location

Strbske Pleso

Print_ISBN

978-1-4799-0926-1

Type

conf

DOI

10.1109/PC.2013.6581410

Filename

6581410