<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><p>This paper presents modifications of the classical PID control algorithm, implemented by an Adaptive Neuro-Fuzzy Architecture (ANFA). The main goal here is to design a fuzzy PID controller with a flexible structure, adaptive tuning of its parameters and algorithm modifications, which leads to improvement of the system performance. Thus the controlling process and system are prevented from the undesired and non expected changes of the system input signals. The antecedent part of the applied fuzzy rules contains a linear function, similar to the modified discrete equation of the corresponding conventional PID controller. The simulations demonstrate satisfactory results of these performances and implementations applied to a nonlinear plant.</p></abstract>

This paper presents modifications of the classical PID control algorithm, implemented by an Adaptive Neuro-Fuzzy Architecture (ANFA). The main goal here is to design a fuzzy PID controller with a flexible structure, adaptive tuning of its parameters and algorithm modifications, which leads to improvement of the system performance. Thus the controlling process and system are prevented from the undesired and non expected changes of the system input signals. The antecedent part of the applied fuzzy rules contains a linear function, similar to the modified discrete equation of the corresponding conventional PID controller. The simulations demonstrate satisfactory results of these performances and implementations applied to a nonlinear plant.

Hybrid PID Control Algorithms for Nonlinear Process Control

Technical University of Sofia, branch Plovdiv, 25 Tsanko Dyustabanov, 4000 Plovdiv, Bulgaria

Journal of Electrical Engineering

{"article-title":"Hybrid PID Control Algorithms for Nonlinear Process Control"}

This paper presents modifications of the classical PID control algorithm, implemented by an Adaptive Neuro-Fuzzy Architecture (ANFA). The main goal here is to...

Hybrid PID Control Algorithms for Nonlinear Process Control

Published Online: Jul 01, 2011

Page range: 147 - 152

DOI: https://doi.org/10.2478/v10187-011-0024-0

Keywords
adaptive control algorithm, hybrid fuzzy PID

This content is open access.

Hybrid PID Control Algorithms for Nonlinear Process Control

Published Online: Jul 01, 2011

Page range: 147 - 152

DOI: https://doi.org/10.2478/v10187-011-0024-0

Keywordsadaptive control algorithm, hybrid fuzzy PID

This content is open access.

Keywords
adaptive control algorithm, hybrid fuzzy PID