scholarly journals Fuzzy Theory-based Air Valve Control for Auto-Score-Recognition Soprano Recorder Machines

2021 ◽  
Author(s):  
Chun-Chieh Wang
Keyword(s):  
Fuzzy Theory ◽  
Air Valve ◽  
Valve Control

Hydraulic Leveling Technology for Electro-Hydraulic Proportional Control Based on Fuzzy PID

2014 ◽  
Vol 551 ◽  
pp. 503-508 ◽  
Author(s):  
Tian Xiang Gao ◽  
Qiang Gao ◽  
Yan Li
Keyword(s):  
Pid Control ◽  
Hydraulic System ◽  
Pid Controller ◽  
Fuzzy Theory ◽  
System Model ◽  
Horizontal Position ◽  
Fuzzy Pid ◽  
Proportional Valve ◽  
Fuzzy Pid Controller ◽  
Valve Control

In modern military and civil technologies, platforms with equipment on them are often needed to be adjusted to horizontal position rapidly and precisely and keep the platforms stable at the same time. Most leveling systems are implemented with hydraulic system, and they are time-variant nonlinear systems. To leveling both rapidly and steadily with required precision, a PID control strategy based on fuzzy theory was proposed. Electro-hydraulic proportional valve control hydraulic system model was created and analyzed, transfer function of hydraulic legs was obtained and fuzzy PID controller was created in this paper. The proposed method is simulated in Simulink. The simulation result shows that fuzzy PID controller can adjust the platform to horizontal position rapidly and steadily, and improve system performance.

By-Pass Air-Valve Control of an OWC Wave Power Plant

2003 ◽  
Vol 125 (3) ◽  
pp. 205-210 ◽  
Author(s):  
A. F. de O. Falca˜o ◽  
L. C. Vieira ◽  
P. A. P. Justino ◽  
J. M. C. S. Andre´
Keyword(s):  
Power Plant ◽  
Control Algorithm ◽  
Electrical Energy ◽  
Operating Conditions ◽  
Wave Power ◽  
Oscillating Water Column ◽  
Large Eddy ◽  
Air Valve ◽  
Valve Control ◽  
Valve Area

The paper deals with the numerical simulation of the performance of an oscillating-water-column (OWC) wave power plant equipped with a by-pass valve whose role is to prevent the turbine flow rate from exceeding the stall-free operating conditions. Continuous and step-wise valve area changes are considered, the second case corresponding to multi-element design. The adequacy of the valve and of its control is assessed through the gain in annual electrical energy and the total number of required valve strokes. The following items are separately analyzed: (i) number of (identical) valve elements; (ii) valve response time; (iii) signal noise level in chamber air-pressure measurements due to large-eddy turbulence; (iv) valve’s control algorithm.

A Novel Fuzzy Theory-Based Differential Protection Scheme for Transmission Lines

2020 ◽  
Vol 12 (8) ◽  
Author(s):  
Mahyar Abasi ◽  
◽  
Ahmad Torabi Farsani ◽  
Arash Rohani ◽  
Arsalan Beigzadeh ◽  
...  
Keyword(s):  
Transmission Lines ◽  
Fuzzy Theory ◽  
Differential Protection ◽  
Protection Scheme

Statistical Analysis of Operation Data and Automatic Control on Fluidized Bed Incineration Plant with Dryer

1993 ◽  
Vol 28 (11-12) ◽  
pp. 341-345
Author(s):  
Shigeki Minami ◽  
Hidekazu Nagasawa ◽  
Yoshinori Saito ◽  
Motoharu Yamagishi ◽  
Masakatsu Hiraoka ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Fluidized Bed ◽  
Fuzzy Theory ◽  
Exhaust Gas ◽  
Furnace Temperature ◽  
Incineration Plant ◽  
Commercial Plant ◽  
Dried Sludge ◽  
Fluidized Bed Incineration ◽  
Plant Control

Continuous operation data were obtained on a fluidized bed incineration plant with dryers, and two autoregressive models were then prepared through statistical analysis of the data. Based on the results, an automatic plant control system using fuzzy theory was designed. An incinerator system of this type is characterized by energy efficiency, for which optimum and stable moisture control of the dried sludge is important. The large difference in time constants between incinerator and dryers makes energy saving difficult. Based on these analyses and design, control operations at a commercial plant with a capacity of 150 wet-tons/day were studied. It was confirmed that reduction of auxiliary fuel consumption and reduction of CO and NOx in the exhaust gas were optimized, while the moisture content of dried sludge and the furnace temperature were kept stable.

Research of Fault Diagnosis of Belt Conveyor Based on Fuzzy Neural Network

2014 ◽  
Vol 8 (1) ◽  
pp. 916-921
Author(s):  
Yuan Yuan ◽  
Wenjun Meng ◽  
Xiaoxia Sun
Keyword(s):  
Neural Network ◽  
Fault Diagnosis ◽  
Bp Neural Network ◽  
Fault Location ◽  
Fuzzy Neural Network ◽  
Fuzzy Theory ◽  
Belt Conveyor ◽  
Fuzzy Neural ◽  
Neural Network Algorithm ◽  
Network Fault

To address deficiencies in the process of fault diagnosis of belt conveyor, this study uses a BP neural network algorithm combined with fuzzy theory to provide an intelligent fault diagnosis method for belt conveyor and to establish a BP neural network fault diagnosis model with a predictive function. Matlab is used to simulate the fuzzy BP neural network fault diagnosis of the belt conveyor. Results show that the fuzzy neural network can filter out unnecessary information; save time and space; and improve the fault diagnosis recognition, classification, and fault location capabilities of belt conveyor. The proposed model has high practical value for engineering.

Research on visual recognition intelligent system of city brand image based on fuzzy theory and regional culture

2021 ◽  
pp. 1-9
Author(s):  
Lin Han ◽  
Lu Han
Keyword(s):  
Neural Network ◽  
Visual Recognition ◽  
Intelligent System ◽  
Brand Image ◽  
Fuzzy Theory ◽  
Recognition System ◽  
Market Competitiveness ◽  
Visual Identity ◽  
Fuzzy Neural ◽  
Intelligent Recognition

With the rapid development of China’s market economy, brand image is becoming more and more important for an enterprise to enhance its market competitiveness and occupy a favorable market share. However, the brand image of many established companies gradually loses with the development of society and the improvement of people’s aesthetic pursuit. This has forced it to change its corporate brand image and regain the favor of the market. Based on this, this article combines the related knowledge and concepts of fuzzy theory, from the perspective of visual identity design, explores the development of corporate brand image visual identity intelligent system, and aims to design a set of visual identity system that is different from competitors in order to shape the enterprise. Distinctive brand image and improve its market competitiveness. This article first collected a large amount of information through the literature investigation method, and made a systematic and comprehensive introduction to fuzzy theory, visual recognition technology and related theoretical concepts of brand image, which laid a sufficient theoretical foundation for the later discussion of the application of fuzzy theory in the design of brand image visual recognition intelligent system; then the fuzzy theory algorithm is described in detail, a fuzzy neural network is proposed and applied to the design of the brand image visual recognition intelligent system, and the design experiment of the intelligent recognition system is carried out; finally, through the use of the specific case of KFC brand logo, the designed intelligent recognition system was tested, and it was found that the visual recognition intelligent system had an overall accuracy rate of 96.08% for the KFC brand logo. Among them, the accuracy rate of color recognition was the highest, 96.62%; comparing the changes in the output value of the training sample and the test sample, the output convergence effect of the color network is the best; through the comparison test of the BP neural network, the recognition effect of the fuzzy neural network is better.

Sign in / Sign up

Export Citation Format

Share Document