[HTML][HTML] Fault diagnosis and self-healing for smart manufacturing: a review

J Aldrini, I Chihi, L Sidhom - Journal of Intelligent Manufacturing, 2024 - Springer
Manufacturing systems are becoming more sophisticated and expensive, particularly with
the development of the intelligent industry. The complexity of the architecture and concept of …

A review on the effectiveness of machine learning and deep learning algorithms for collaborative robot

M Sajwan, S Singh - Archives of Computational Methods in Engineering, 2023 - Springer
More and more, we may expect to see robots working side by side with humans as
technology advances. Collaborative robot (cobot) is a methodology that investigates the …

Singular perturbation-based adaptive integral sliding mode control for flexible joint robots

RFA Khan, K Rsetam, Z Cao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The flexible joint robot (FJR) typically experiences parametric variations, nonlinearities,
underactuation, noise propagation, and external disturbances which seriously degrade the …

Adaptive robust constraint-following control for underactuated unmanned bicycle robot with uncertainties

H Zhao, W Liu, X Chen, H Sun - ISA transactions, 2023 - Elsevier
Due to the underactuated and unstable nature, the control of unmanned bicycle robots is a
challenge. The presence of unknown and time-varying uncertainties in the system adds to …

Adaptive neural network-based sliding mode tracking control for agricultural quadrotor with variable payload

Z Zhao, X Jin - Computers and Electrical Engineering, 2022 - Elsevier
In this paper, the path tracking controller for a class of agricultural quadrotor with variable
payload under the influence of the model uncertainties and exogenous disturbances is …

Sensorless fixed-time sliding mode control of PMSM based on barrier function adaptive super-twisting observer

L Chen, Z Jin, K Shao, H Wang, G Wang… - … on Power Electronics, 2023 - ieeexplore.ieee.org
For the purpose of simplifying the physical structure, improving the anti-disturbance
performance and enhancing the response performance of permanent magnet synchronous …

Using neural network super‐twisting sliding mode to improve power control of a dual‐rotor wind turbine system in normal and unbalanced grid fault modes

A Yahdou, AB Djilali, E Bounadja… - … Journal of Circuit …, 2024 - Wiley Online Library
According to recent research work, increasing electric power generation is one of the
significant advantages of the dual‐rotor wind turbine (DRWT) compared to the other types …

Straight-line tracking controller design of agricultural tractors based on third-order sliding mode

S Ding, C Huang, C Ding, X Wei - Computers and Electrical Engineering, 2023 - Elsevier
This article aims at solving the straight-line tracking control problem of agricultural tractors in
the presence of negative influences induced by unknown disturbances. Firstly, the path …

Data-driven and mechanism-based hybrid model for semiconductor silicon monocrystalline quality prediction in the czochralski process

JC Ren, D Liu, Y Wan - IEEE Transactions on Semiconductor …, 2022 - ieeexplore.ieee.org
The Czochralski (CZ) process is the core technology for producing semiconductor silicon
monocrystalline (SMC), and it is a complex batch process. However, the crystal growth rate …

Fault-tolerant control based on fractional sliding mode: Crawler plant protection robot

Z Li, W Wang, C Zhang, Q Zheng, L Liu - Computers and Electrical …, 2023 - Elsevier
Accurate control of driving system for crawler plant protection robot (CPPR) is a challenging
problem in smart agriculture. The soil is usually soft and mixed with straw and weeds in field …