Výsledky vyhledávání - "nonlinear PID"

Akademický článek

Optimal design of linear and nonlinear PID controllers for speed control of an electric vehicle

Autor: Oleiwi Bashra Kadhim, Mohamed Mohamed Jasim

Publikováno v: Journal of Intelligent Systems, Vol 33, Iss 1, Pp 11-85 (2024)

Electric vehicles (EVs) as a sustainable safety system are being increasingly used and receiving attention from researchers for several reasons including optimal performance, affordability for consumers, and environmental safety. EV speed control is

Externí odkaz: https://doaj.org/article/f52d8940ce774e4f9c75cb3fc900b937

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Akademický článek

Robust adaptive nonlinear PID controller using radial basis function neural network for ballbots with external force

Autor: Van-Truong Nguyen, Quoc-Cuong Nguyen, Mien Van, Shun-Feng Su, Harish Garg, Dai-Nhan Duong, Phan Xuan Tan

Publikováno v: Engineering Science and Technology, an International Journal, Vol 61, Iss , Pp 101914- (2025)

This paper presents a new adaptive nonlinear proportional integral derivative radial basis function neural network (NPID-RBFNN) for ballbots with external force. The proposed controller is designed based on a hybrid of a nonlinear proportional integr

Externí odkaz: https://doaj.org/article/a40291cf44564b74a23f9843ad2e8179

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Akademický článek

Intelligent Nonlinear PID-Controller Combined With Optimization Algorithm for Effective Global Maximum Power Point Tracking of PV Systems

Autor: Al-Wesabi Ibrahim, Zhijian Fang, Rui Li, Weilong Zhang, Jiazhu Xu, Vseem Zahir, Idriss Dagal, Hossam Kotb, Kareem M. AboRas, Ali Elrashidi

Publikováno v: IEEE Access, Vol 12, Pp 185265-185290 (2024)

Many advanced techniques efficiently harvest the global maximum power (GMP) of the photovoltaic (PV) system, including machine learning techniques and metaheuristic algorithms based maximum power point tracking (MPPT). Nevertheless, they have shortco

Externí odkaz: https://doaj.org/article/b5dcd0d2c83d475baff9485e36c619e1

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Akademický článek

Fine-Tuning Quadcopter Control Parameters via Deep Actor-Critic Learning Framework: An Exploration of Nonlinear Stability Analysis and Intelligent Gain Tuning

Autor: Hassan Moin, Umer Hameed Shah, Muhammad Jawad Khan, Hasan Sajid

Publikováno v: IEEE Access, Vol 12, Pp 173462-173474 (2024)

Quadcopters have underactuated, nonlinear, and coupled dynamics, making their control a challenging endeavor. However, PID controllers have exhibited remarkable performance for such systems in a variety of circumstances, including obstacle avoidance,

Externí odkaz: https://doaj.org/article/c897375304494b04825b7088e05b9f93

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Akademický článek

Optimized Nonlinear PID Control for Maximum Power Point Tracking in PV Systems Using Particle Swarm Optimization

Autor: Maeva Cybelle Zoleko Zambou, Alain Soup Tewa Kammogne, Martin Siewe Siewe, Ahmad Taher Azar, Saim Ahmed, Ibrahim A. Hameed

Publikováno v: Mathematical and Computational Applications, Vol 29, Iss 5, p 88 (2024)

This paper proposes a high-performing, hybrid method for Maximum Power Point Tracking (MPPT) in photovoltaic (PV) systems. The approach is based on an intelligent Nonlinear Discrete Proportional–Integral–Derivative (N-DPID) controller with the Pe

Externí odkaz: https://doaj.org/article/9bafeb4d5d0f46409d3fae58e330e223

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Akademický článek

Modified nondominated sorting genetic algorithm-based multiobjective optimization of a cross-coupled nonlinear PID controller for a Twin Rotor System

Autor: J. Sivadasan, J. Roscia Jeya Shiney

Publikováno v: Journal of Engineering and Applied Science, Vol 70, Iss 1, Pp 1-18 (2023)

Abstract This paper presents an innovative nonlinear PID control scheme based on a modified nondominated sorting genetic algorithm validated using a laboratory helicopter model called the Twin Rotor System. The concepts of controlled elitism and dyna

Externí odkaz: https://doaj.org/article/390c73d1e5ad4924898b31ed285bd286

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Akademický článek

Output tracking and feedback stabilization for 6-DoF UAV using an enhanced active disturbance rejection control

Autor: Najm, Aws Abdulsalam, Kasim Ibraheem, Ibraheem, Humaidi, Amjad J., Azar, Ahmad Taher

Publikováno v: International Journal of Intelligent Unmanned Systems, 2021, Vol. 10, Issue 4, pp. 330-345.

Externí odkaz: http://www.emeraldinsight.com/doi/10.1108/IJIUS-09-2020-0059

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Akademický článek

A Comparative Study of Various Intelligent Algorithms Based Nonlinear PID Neural Trajectory Tracking Controller for the Differential Wheeled Mobile Robot Model

Autor: Ahmed Sabah Al-Araji

Publikováno v: Journal of Engineering, Vol 20, Iss 05 (2023)

This paper presents a comparative study of two learning algorithms for the nonlinear PID neural trajectory tracking controller for mobile robot in order to follow a pre-defined path. As simple and fast tuning technique, genetic and particle swarm opt

Externí odkaz: https://doaj.org/article/de83ed78cd9e403a90ef6e61c0633d2b

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Akademický článek

An Adaptive Nonlinear PID Design for 6-DOF Underwater Robotic Vehicle

Autor: Mustafa Wassef Hasan, Nizar Hadi Abbas

Publikováno v: Advances in Electrical and Electronic Engineering, Vol 20, Iss 2, Pp 193-203 (2022)

An Adaptive Nonlinear PID (ANLPID) controller for six Degrees of Freedom (6-DOF) Underwater Robotic Vehicle (URV) model is proposed to solve the path tracking problem. The path tracking problem is mainly caused by external environmental disturbances

Externí odkaz: https://doaj.org/article/94b3913fa36d48ba87be6b96ea1002ef

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Akademický článek

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