Self-tuning run-time reconfigurable PID controller [PDF]
Digital PID control algorithm is one of the most commonly used algorithms in the control systems area. This algorithm is very well known, it is simple, easily implementable in the computer control systems and most of all its operation is very predictable.
Pelc, Mariusz
core +1 more source
This paper describes a methodology to obtain a neuro-fuzzy model of a hydro-generator unit (HGU) and its PID controller from the identification of its linear time-invariant (LTI) model.
Jesús Rodríguez-Flores +5 more
doaj +1 more source
Design of an Adaptive Neurofuzzy Inference Control System for the Unified Power-Flow Controller [PDF]
This paper presents a new approach to control the operation of the unified power-flow controller (UPFC) based on the adaptive neurofuzzy inference controller (ANFIC) concept.
Farrag, Mohamed, Putrus, Ghanim
core +1 more source
Development of ANFIS Control System for Seismic Response Reduction using Multi-Objective Genetic Algorithm [PDF]
Adaptive neuro fuzzy inference system (ANFIS) and Genetic algorithm (GA) was proposed in this study to reduce dynamic responses of a seismically excited building.
F, Q. M. (Qureshi) +2 more
core +1 more source
Analysis and Application of Advanced Control Strategies to a Heating Element Nonlinear Model [PDF]
open4siSustainable control has begun to stimulate research and development in a wide range of industrial communities particularly for systems that demand a high degree of reliability and availability (sustainability) and at the same time characterised by
Gokcen Akkurt, G. +3 more
core +1 more source
Purpose. This article proposes a new control strategy for KY (DC-DC voltage step up) converter. The proposed hybrid energy system fed KY converter is utilized along with adaptive neuro fuzzy interface system controller.
Ch. Sathish +2 more
doaj +1 more source
Design and Real-time Implementation of the Adaptive-Neuro-Fuzzy Controller for a Temperature Control System using Model-Based Design [PDF]
In this paper, an adaptive-neuro-fuzzy controller is implemented online for a temperature control system using model-based design. First, the time domain identification approaches are utilized for the dynamic model identification.
Alireza Sharifi +2 more
doaj
PAC: A Novel Self-Adaptive Neuro-Fuzzy Controller for Micro Aerial Vehicles
There exists an increasing demand for a flexible and computationally efficient controller for micro aerial vehicles (MAVs) due to a high degree of environmental perturbations.
Anavatti, Sreenatha G. +4 more
core +1 more source
A basic building block approach to CMOS design of analog neuro/fuzzy systems [PDF]
Outlines a systematic approach to design fuzzy inference systems using analog integrated circuits in standard CMOS VLSI technologies. The proposed circuit building blocks are arranged in a layered neuro/fuzzy architecture composed of 5 layers ...
Linares Barranco, Bernabé +3 more
core +1 more source
Torque Ripple Minimization in a Switched Reluctance Drive by Neuro-Fuzzy Compensation
Simple power electronic drive circuit and fault tolerance of converter are specific advantages of SRM drives, but excessive torque ripple has limited its use to special applications.
Branco, P. J. Costa +4 more
core +1 more source

