Experimental Studies on Pressure Control Using Intelligent PI Fuzzy Supervisory Approach

2008 ◽  
Vol 4 (2) ◽  
Author(s):  
Palani Sivashanmugam ◽  
N. Kanagaraj ◽  
R. Kumar
Keyword(s):  
Control Method ◽  
Fuzzy Controller ◽  
Experimental Studies ◽  
Pressure Control ◽  
Operating Conditions ◽  
Real Time Control ◽  
Time Control ◽  
Executable File ◽  
Pressure Control System ◽  
Tank Pressure

Fuzzy supervisory control scheme for regulating the tank pressure in a pilot pressure control system has been presented. The controller structure has been designed in such a way as to adjust on-line the parameters of a classical PI controller that will reduce the human involvement in tuning the controller parameters at different operating conditions. The control algorithm for the proposed scheme has been developed using KEIL software and then converted into an executable file before downloading it to an ARM7 (AT91M55800A) based embedded target board. The pipeline execution and RISC architecture of ARM7 target board enhances the computation speed in real time control applications. Experimental study has been carried out to test the performance of the proposed supervisory fuzzy controller and the results were compared with classical control method. Better control performance using supervisory fuzzy controller has been obtained.

Research on Airbags Overturning Device due to the PID Closed-Loop Control Technology

2013 ◽  
Vol 313-314 ◽  
pp. 395-398
Author(s):  
De Qiang Zhang ◽  
Li Ying Su ◽  
Duo Xing Zhao
Keyword(s):  
Control System ◽  
Closed Loop ◽  
Pressure Sensors ◽  
Pressure Control ◽  
Closed Loop Control ◽  
Control Technology ◽  
Real Time Control ◽  
Loop Control ◽  
Time Control ◽  
Pressure Control System

Based on S7-200 PLC, pressure sensors and amplifiers, this paper uses PID instruction to establish the closed-loop pressure control system of the required thrust in turning airbags. So in the automatic overturning airbags, it is capable to real-time control the push rods running status.

scholarly journals FPGA-Based Mechatronic Design and Real-Time Fuzzy Control with Computational Intelligence Optimization for Omni-Mecanum-Wheeled Autonomous Vehicles

Electronics ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. 1328 ◽  
Author(s):  
Hsu-Chih Huang ◽  
Chin-Wang Tao ◽  
Chen-Chia Chuang ◽  
Jing-Jun Xu
Keyword(s):  
Fuzzy Control ◽  
Real Time ◽  
Computational Intelligence ◽  
Autonomous Vehicles ◽  
Control Method ◽  
Fuzzy Controller ◽  
Real Time Control ◽  
Mechatronic Design ◽  
Time Control ◽  
Mobile Vehicle

This study presents a field-programmable gate array (FPGA)-based mechatronic design and real-time fuzzy control method with computational intelligence optimization for omni-Mecanum-wheeled autonomous vehicles. With the advantages of cuckoo search (CS), an evolutionary CS-based fuzzy system is proposed, called CS-fuzzy. The CS’s computational intelligence was employed to optimize the structure of fuzzy systems. The proposed CS-fuzzy computing scheme was then applied to design an optimal real-time control method for omni-Mecanum-wheeled autonomous vehicles with four wheels. Both vehicle model and CS-fuzzy optimization are considered to achieve intelligent tracking control of Mecanum mobile vehicles. The control parameters of the Mecanum fuzzy controller are online-adjusted to provide real-time capability. This methodology outperforms the traditional offline-tuned controllers without computational intelligences in terms of real-time control, performance, intelligent control and evolutionary optimization. The mechatronic design of the experimental CS-fuzzy based autonomous mobile vehicle was developed using FPGA realization. Some experimental results and comparative analysis are discussed to examine the effectiveness, performance, and merit of the proposed methods against other existing approaches.

Research on Fuzzy Control of Mine Ventilation Based on Embedded Systems

2014 ◽  
Vol 686 ◽  
pp. 126-131
Author(s):  
Xiao Yan Sha
Keyword(s):  
Fuzzy Control ◽  
Control Algorithm ◽  
Fuzzy Controller ◽  
Simulation Analysis ◽  
Control Unit ◽  
Real Time Control ◽  
Embedded Processor ◽  
Feed Forward ◽  
Time Control ◽  
Software And Hardware

Taking embedded processor as the core control unit, the paper designs the fan monitoring system software and hardware to achieve the fan working condition detection and real-time control. For the control algorithm, the paper analyzes the fuzzy control system theory and composition, and then combined with tunnel ventilation particularity, introduce feed-forward model to predict the incremental acquisition of pollutants to reduce lag, combined with the system feedback value and the set value, by calculate of two independent computing fuzzy controller, and ultimately determine the number of units increase or decrease in the tunnel jet fans start and stop. Through simulation analysis, the introduction of a feed-forward signal, it can more effectively improve the capability of the system impact of interference.

Theory of Temperature Dynamic Control in Arch Dams and its Application

2012 ◽  
Vol 594-597 ◽  
pp. 738-741 ◽  
Author(s):  
Yin Duan ◽  
Xing Hong Liu ◽  
Xiao Lin Chang
Keyword(s):  
Real Time ◽  
Temperature Control ◽  
Control Method ◽  
Dynamic Control ◽  
Arch Dam ◽  
Real Time Control ◽  
New Techniques ◽  
Time Dynamic ◽  
Arch Dams ◽  
Time Control

Main factors of the temperature control and crack prevention in arch dams are summarized. The Space-time Dynamic Control method in pipe cooling process and the Temperature Real-time Control and Decision Database System are introduced to help for temperature real-time control and rapid analysis. Successful application of these new techniques in the construction of Dagangshan arch dam indicates that the proposed method are of significant effectiveness on the temperature control and crack prevention, and have good application prospect in practical project.

scholarly journals HIL evaluation of control unit in grid-tied coverters

2016 ◽  
Vol 20 (suppl. 2) ◽  
pp. 393-406 ◽  
Author(s):  
Vlado Porobic ◽  
Evgenije Adzic ◽  
Milan Rapaic
Keyword(s):  
Power Electronics ◽  
High Performance ◽  
Control Unit ◽  
Active Filters ◽  
Design Tool ◽  
Operating Conditions ◽  
Real Time Control ◽  
Time Control ◽  
Power Electronics Converters ◽  
Grid Connected Converters

Hardware-in-the-Loop (HIL) emulation is poised to become unsurpassed design tool for development, testing, and optimization of real-time control algorithms for grid connected power electronics converters for distributed generation, active filters and smart grid applications. It is strongly important to examine and test how grid connected converters perform under different operating conditions including grid disturbances and faults. In that sense, converter?s controller is a key component responsible for ensuring safe and high-performance operation. This paper demonstrates an example how ultra-low latency and high fidelity HIL emulator is used to easily, rapidly and exhaustively test and validate standard control strategy for grid connected power electronics converters, without need for expensive hardware prototyping and laboratory test equipment.

Optimal Design for Fuzzy Controller by Ant Colony Algorithm

2010 ◽  
Vol 439-440 ◽  
pp. 1190-1196 ◽  
Author(s):  
Bao Jiang Zhao
Keyword(s):  
Ant Colony Algorithm ◽  
Inverted Pendulum ◽  
Fuzzy Controller ◽  
Fuzzy Rule ◽  
Ant Colony ◽  
Fuzzy Rules ◽  
Real Time Control ◽  
Time Control ◽  
Information Updating ◽  
Fuzzy Logical

Fuzzy logical controller is one of the most important applications of fuzzy-rule-based system that models the human decision processing with a collection of fuzzy rules. In this paper, an adaptive ant colony algorithm is proposed based on dynamically adjusting the strategy of selection of the paths and the strategy of the trail information updating. The algorithm is used to design a fuzzy logical controller automatically for real-time control of an inverted pendulum. In order to avoid the combinatorial explosion of fuzzy rules due to multivariable inputs, state variable synthesis scheme is employed to reduce the number of fuzzy rules greatly. Experimental results show that the designed controller can control actual inverted pendulum successfully.

Research on Multi-Segment and Multi-Class Seat Inventory Control with Overbooking

2013 ◽  
Vol 273 ◽  
pp. 34-38
Author(s):  
Di Wang ◽  
Chang You Liu
Keyword(s):  
Inventory Control ◽  
Control Method ◽  
Integrated Control ◽  
Profit Maximization ◽  
Optimal Decision ◽  
Real Time Control ◽  
Single Class ◽  
Ticket Sales ◽  
Time Control ◽  
Seat Inventory Control

In order to achieve a real-time control method and technical support for airlines, the integrated modeling issue of airlines about seat inventory control and overbooking has been researched in this paper. And the integrated control static model has been established by the stochastic programming method, based on ticket sales process to be simulated as a queue process and profit maximization to be objective function. So the problem is decomposed into a plurality of single-segment and single-class seat inventory control problem. Furthermore, the optimal decision-making equation of limiting reservation for each class has been deduced from the model. Finally, the validity of model and calculation method are shown by the full analysis of practical application of the model.

scholarly journals Wheelchair Neuro Fuzzy Control and Tracking System Based on Voice Recognition

Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2872 ◽  
Author(s):  
Mokhles M. Abdulghani ◽  
Kasim M. Al-Aubidy ◽  
Mohammed M. Ali ◽  
Qadri J. Hamarsheh
Keyword(s):  
Fuzzy Controller ◽  
Tracking System ◽  
Voice Recognition ◽  
Real Data ◽  
Communication Technologies ◽  
Real Time Control ◽  
Time Control ◽  
Smart Wheelchairs ◽  
Neuro Fuzzy ◽  
The Disabled

Autonomous wheelchairs are important tools to enhance the mobility of people with disabilities. Advances in computer and wireless communication technologies have contributed to the provision of smart wheelchairs to suit the needs of the disabled person. This research paper presents the design and implementation of a voice controlled electric wheelchair. This design is based on voice recognition algorithms to classify the required commands to drive the wheelchair. An adaptive neuro-fuzzy controller has been used to generate the required real-time control signals for actuating motors of the wheelchair. This controller depends on real data received from obstacle avoidance sensors and a voice recognition classifier. The wheelchair is considered as a node in a wireless sensor network in order to track the position of the wheelchair and for supervisory control. The simulated and running experiments demonstrate that, by combining the concepts of soft-computing and mechatronics, the implemented wheelchair has become more sophisticated and gives people more mobility.

Transfer Function Modelling of Urban Drainage Systems, and Potential Uses in Real-Time Control Applications

1994 ◽  
Vol 29 (1-2) ◽  
pp. 409-417 ◽  
Author(s):  
Andrea G. Capodaglio
Keyword(s):  
Transfer Function ◽  
Real Time ◽  
Sewage Treatment ◽  
Operating Conditions ◽  
Urban Drainage ◽  
Real Time Control ◽  
Control Applications ◽  
Time Control ◽  
Function Modelling ◽  
Transfer Function Modelling

According to the present state-of-the-art, sewerage systems, sewage treatment plants and their subsequent improvements are often planned and designed as totally separate entities, each subject to a specific set of performance objectives. As a result, sewage treatment efficiency is subject to considerable variability, depending both on general hydrologic conditions in the urban watershed (wet versus dry periods), and on specific “instantaneous” operating conditions. It has been postulated that the integration of urban drainage and wastewater treatment design and operation could allow minimization of the harmful effects of discharges from treatment plants, overflows and surface water runoff. This “ideal condition” can be achieved through the introduction of so-called “real-time control” technology in sewerage collection and treatment operations. To be a feasible goal, this technology poses the demand for more powerful simulation models of either aspect of the system - or, ideally, of a unified sewer-and-treatment plant model - than most of those currently available. This paper examines the requirements of rainfall/runoff transformation and sewer flow models with respect to real-time control applications, and focuses on the methodology of stochastic, transfer function modelling, reporting application examples. Modalities and limitations of the extraction of information from the models thus derived are also analyzed.

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