Promising designs multipurpose cultivator to slopes with automatic corrected biometric control system lateral stability

2015 ◽  
Vol 5 (2) ◽  
pp. 158-165
Author(s):  
Туровский ◽  
Yaroslav Turovskiy ◽  
Кургалин ◽  
Sergey Kurgalin ◽  
Лысыч ◽  
...  
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Artificial Neural Networks ◽  
Control System ◽  
Real Time ◽  
Network Control ◽  
Lateral Stability ◽  
Neural Network Control ◽  
Network Control System ◽  
Unit Operator

The authors propose the concept of a control system based on the creation of avated biometric corrected neural network control system implemented on the basis tillage machines and tractors unit capable to function effectively within the system.For this approach, it is planned to develop a software system that provides for tracking the behavior of machine and tractor unit operator in real time. The resulting data will be fed to the input of artificial neural networks of different topologies.

Backstepping sliding mode neural network control system for hypersonic vehicle

2019 ◽  
Vol 27 (11) ◽  
pp. 2392-2401
Author(s):  
刘 蓉 LIU Rong ◽  
黄大庆 HUANG Da-qing ◽  
姜定国 JIANG Ding-guo
Keyword(s):  
Neural Network ◽  
Control System ◽  
Sliding Mode ◽  
Hypersonic Vehicle ◽  
Network Control ◽  
Neural Network Control ◽  
Network Control System

scholarly journals A New Method of Applying Data Engine Technology to Realize Neural Network Control

Algorithms ◽  
2019 ◽  
Vol 12 (5) ◽  
pp. 97
Author(s):  
Song Zheng ◽  
Chao Bi ◽  
Yilin Song
Keyword(s):  
Neural Network ◽  
Control System ◽  
Real Time ◽  
Control Algorithm ◽  
Network Control ◽  
Neural Network Control ◽  
Hybrid Controller ◽  
Advanced Control ◽  
Real Time Database ◽  
And Control

This paper presents a novel diagonal recurrent neural network hybrid controller based on the shared memory of real-time database structure. The controller uses Data Engine (DE) technology, through the establishment of a unified and standardized software architecture and real-time database in different control stations, effectively solves many problems caused by technical standard, communication protocol, and programming language in actual industrial application: the advanced control algorithm and control system co-debugging difficulties, algorithm implementation and update inefficiency, and high development and operation and maintenance costs effectively fill the current technical gap. More importantly, the control algorithm development uses a unified visual graphics configuration programming environment, effectively solving the problem of integrated control of heterogeneous devices; and has the advantages of intuitive configuration and transparent data processing process, reducing the difficulty of the advanced control algorithms debugging in engineering applications. In this paper, the application of a neural network hybrid controller based on DE in motor speed measurement and control system shows that the system has excellent control characteristics and anti-disturbance ability, and provides an integrated method for neural network control algorithm in a practical industrial control system, which is the major contribution of this article.

Adaptive Fuzzy Neural Network Control System in Cylindrical Grinding Process

2010 ◽  
Vol 426-427 ◽  
pp. 220-224
Author(s):  
X.M. Li ◽  
Ning Ding
Keyword(s):  
Neural Network ◽  
Control System ◽  
Fuzzy Neural Network ◽  
Network Control ◽  
Grinding Process ◽  
Neural Network Control ◽  
Network Control System ◽  
Cylindrical Grinding ◽  
Adaptive Fuzzy Neural Network ◽  
Fuzzy Neural

An adaptive fuzzy neural network control system in cylindrical grinding process was proposed. In this system, the initial cylindrical grinding parameters were decided by the expert system based on fuzzy neural network. Multi-feed and setting overshoot optimization methods were also adopted during the grinding process, and a human machine cooperation system (composed of human and two fuzzy – neural networks) could revise the process parameters in real-time. The experiment of the cylindrical grinding was implemented. The results showed that this control system was valid, and could greatly improve the cylindrical grinding quality and machining efficiency.

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