Complete analysis and engineering applications of a megastable nonlinear oscillator

H Jahanshahi, K Rajagopal, A Akgul, NN Sari… - International Journal of …, 2018 - Elsevier
In this paper, we investigate some unrevealed features of a newly introduced megastable
chaotic oscillator. This oscillator has a rich dynamical behavior including limit cycle, torus …

Optimal tuning of PID controller in time delay system: A review on various optimization techniques

T George, V Ganesan - Chemical Product and Process Modeling, 2022 - degruyter.com
The processes which contain at least one pole at the origin are known as integrating
systems. The process output varies continuously with time at certain speed when they are …

Fuzzy PID supervised online ANFIS based speed controller for brushless dc motor

K Premkumar, BV Manikandan - Neurocomputing, 2015 - Elsevier
In this paper, two different speed controllers ie, fuzzy online gain tuned anti wind up
Proportional Integral and Derivative (PID) controller and fuzzy PID supervised online ANFIS …

A survey: Fuzzify parameters and membership function in electrical applications

M Zangeneh, E Aghajari, M Forouzanfar - International Journal of …, 2020 - Springer
The unique simplicity and the needless for a mathematical model of the fuzzy logic controller
along with the variety of abilities such as good respond to complex and high-order systems …

Adaptive fuzzy PID control strategy for spacecraft attitude control

N Najafizadeh Sari, H Jahanshahi, M Fakoor - International Journal of …, 2019 - Springer
In this paper, a novel adaptive fuzzy proportional–integral–derivative (AFPID) controller is
designed for geostationary satellite attitude control. In order to design the AFPID controller …

Modeling, simulation and experimental realization of a new nonlinear fuzzy PID controller using Center of Gravity defuzzification

D Sain, BM Mohan - ISA transactions, 2021 - Elsevier
Abstract Though Center of Gravity (CoG) defuzzification is a well-known and long-standing
method in the history of fuzzy systems, because of its computational complexity, its use in the …

[HTML][HTML] Multi-objective optimized fuzzy-PID controllers for fourth order nonlinear systems

MJ Mahmoodabadi, H Jahanshahi - Engineering Science and Technology …, 2016 - Elsevier
In this paper, the Multi-objective Genetic Algorithm (MOGA) is used to obtain the Pareto
frontiers of conflicting objective functions for the fuzzy-Proportional-Integral-Derivative (fuzzy …

Adaptive fuzzy PI controller for permanent magnet synchronous motor drive based on predictive functional control

H Li, B Song, T Chen, Y Xie, X Zhou - Journal of the Franklin Institute, 2021 - Elsevier
The high-performance speed control is hard to achieve for the permanent magnet
synchronous motor (PMSM) drive system under uncertain disturbances, input saturation …

Development, experimental validation, and comparison of interval type-2 Mamdani fuzzy PID controllers with different footprints of uncertainty

M Praharaj, D Sain, BM Mohan - Information Sciences, 2022 - Elsevier
Abstract Interval Type-2 Fuzzy PID (IT2FPID) controllers use Interval Type-2 Fuzzy Sets
(IT2FSs). The difference between Type-1 Fuzzy PID (T1FPID) controllers and IT2FPID …

A simple design method for interval type-2 fuzzy PID controllers

T Kumbasar - Soft Computing, 2014 - Springer
In this study, a design method for single Input interval type-2 fuzzy PID controller has been
developed. The most important feature of the proposed type-2 fuzzy controller is its simple …