Results 141 to 150 of about 992,973 (322)

Comparative Neuromechanical Wing‐Actuation Architectures of Flapping Flight in Insects, Hummingbirds, and Robots

Advanced Intelligent Systems, EarlyView.
Natural fliers achieve remarkable aerial performance through diverse wing neuromechanical systems integrating actuation, sensing, and control. This study synthesizes neuromechanical architectures in insects and hummingbirds, identifying two key functional types‐Dual Neural‐Mechanical Oscillator and Neurally‐modulated Mechanical Oscillator‐ and ...
Suyash Agrawal, Jean‐Michel Mongeau, Bret W. Tobalske, Christopher Rahn, Bo Cheng   +4 more
wiley   +1 more source

Microcontroller Implementation of Digital Pid Controller [PDF]

, 2014
A proportional-integral-derivative (PID) controller is widely used in industrial control systems to get the desired response by feedback. In this project, we attempt to implement a digital controller in a microcontroller. The primary difference between a
Alam, Shahrukh
core  

Optimal Design of Fractional-Order PID Controllers for a Nonlinear AWS Wave Energy Converter Using Hybrid Jellyfish Search and Particle Swarm Optimization [PDF]

, 2023
Ziad M. Ali, Ahmed Mahdy, Hany M. Hasanien, Shady H. E. Abdel Aleem   +3 more
openalex   +1 more source

REWW‐ARM—Remote Wire‐Driven Mobile Robot: Design, Control, and Experimental Validation

Advanced Intelligent Systems, EarlyView.
The Remote Wire‐Driven robot “REWW‐ARM” demonstrates a new concept of remote actuation that separates electronics from harsh environments while retaining closed‐loop control. Combining tendon‐sheath mechanisms with decoupled joints, it achieves efficient power transmission and autonomous locomotion, manipulation, and underwater operation, suggesting ...
Takahiro Hattori, Kento Kawaharazuka, Temma Suzuki, Keita Yoneda, Kei Okada   +4 more
wiley   +1 more source

Adaptive Autonomy in Microrobot Motion Control via Deep Reinforcement Learning and Path Planning Synergy

Advanced Intelligent Systems, EarlyView.
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi, Bairong Zhu, Haoyu Liu, Tingting Yu   +3 more
wiley   +1 more source

Sub‐Micrometer‐Precision Path Following of Piezo‐Actuated Mobile Robot

Advanced Intelligent Systems, EarlyView.
This article reports on the Holonomic‐Beetle (HB), a palm‐sized robot that achieves sub‐micrometer (sub‐µm) precision path tracking across spatial ranges from 100 µm to 10 mm. Using proportional‐integral‐derivative (PID) control, the HB accurately tracks both complex and straight paths with sub‐µm path errors, surpassing existing robots.
Eiji Kusui, Chihiro Sekine, Taiki Goto, Ryosuke Kinoshita, Yuko Nishimura, Shogen Sekiguchi, Satoshi Ando, Yuto Oishi, Yusuke Matsui, Ohmi Fuchiwaki   +9 more
wiley   +1 more source

Tuning Rules for Fractional Order PID Controller Using Data Analytics [PDF]

, 2022
P. R. Varshini, S. Baskar, M. Varatharajan, S. Sadhana   +3 more
openalex   +1 more source

A Neural Network‐Based Self‐Sensing Embedded Position Control System for Shape Memory Alloy Wire Actuators

Advanced Intelligent Systems, EarlyView.
Shape memory alloy wires exhibit thermally induced phase changes that generate actuation strain and resistance variations enabling self‐sensing. However, hysteretic electromechanical behavior complicates accurate state estimation. This paper presents an artificial in‐based self‐sensing method to reconstruct SMA actuator position in real time, achieving
Krunal Koshiya, Gianluca Rizzello, Paul Motzki   +2 more
wiley   +1 more source

Design and experimental implementation of voltage control scheme using the coefficient diagram method based PID controller for two-level boost converter with photovoltaic system

Electrical engineering & Electromechanics
Introduction. Currently, in the solar energy systems and a variety of electrical applications, the power converters are essential part. The main challenge for similar systems is controller design.
K. Latreche, R. Taleb, A. Bentaallah, A. E. Toubal Maamar, M. Helaimi, F. Chabni   +5 more
doaj   +1 more source

Optimized Neural Networks-PID Controller with Wind Rejection Strategy for a Quad-Rotor

, 2021
Chiraz Ben Jabeur, Hassene Seddik
openalex   +2 more sources