Real-Time Implementation of Adaptive Neural Controller by Labview Software

Author(s):  
Hamid Alshareefi ◽  
Lupu Ciprian ◽  
Lich Duc Luu ◽  
Laith Ismail
1998 ◽  
Vol 31 (31) ◽  
pp. 115-120
Author(s):  
Marcelo R. Stemmer ◽  
Edson R. de Pieri ◽  
Fábio A. Pires Borges

2015 ◽  
Vol 772 ◽  
pp. 147-153
Author(s):  
Mohamed Amir Gabir Elbakri

Concentration process is commonly process in industries for chemicals and products that want to reach desired amount of matter in product, so concentration process control is important to reach the desired concentrate of product.Concentration in streams are affected by physical variables around it like pressure, temperature and amount of matter that solvent in streams, so the amplitude of concentration is randomly change with time that make control process not easy.In this project controller was designed for concentration process and was implemented in real-time system that constructed to verify the response of controller, in prototype concentrated solutions-juice and sugar-used to control in it separately with water then mixed to produce juice with desired property.The Mathematical model of concentrated process was evolved and Matlab used to analyze and design control loop for these model, control algorithms used as PID & Fuzzy logic controller to build controller that achieve the specification requirements of a system process.The Fuzzy PI-controller designed to control that for characteristic of nonlinearity of real-time system, and implement simulation of control loops in LABVIEW software with appropriate interface.The DAQ hardware with LABVIEW software are used to implement the control loop that designed for real-time prototype to produce the juice with desired concentrated.


2012 ◽  
Vol 26 (8) ◽  
pp. 2313-2323 ◽  
Author(s):  
Jungmin Kim ◽  
Naveen Kumar ◽  
Vikas Panwar ◽  
Jin-Hwan Borm ◽  
Jangbom Chai

2019 ◽  
Vol 72 (06) ◽  
pp. 1378-1398 ◽  
Author(s):  
Guoqing Zhang ◽  
Jiqiang Li ◽  
Bo Li ◽  
Xianku Zhang

This paper introduces a scheme for waypoint-based path-following control for an Unmanned Robot Sailboat (URS) in the presence of actuator gain uncertainty and unknown environment disturbances. The proposed scheme has two components: intelligent guidance and an adaptive neural controller. Considering upwind and downwind navigation, an improved version of the integral Line-Of-Sight (LOS) guidance principle is developed to generate the appropriate heading reference for a URS. Associated with the integral LOS guidance law, a robust adaptive algorithm is proposed for a URS using Radial Basic Function Neural Networks (RBF-NNs) and a robust neural damping technique. In order to achieve a robust neural damping technique, one single adaptive parameter must be updated online to stabilise the effect of the gain uncertainty and the external disturbance. To ensure Semi-Global Uniform Ultimate Bounded (SGUUB) stability, the Lyapunov theory has been employed. Two simulated experiments have been conducted to illustrate that the control effects can achieve a satisfactory performance.


2013 ◽  
Vol 816-817 ◽  
pp. 762-765
Author(s):  
Li Mei Wen ◽  
Min Ma

The introduction of the virtual instrument technology provides new ideas for the developments of the temperature acquisition. This paper presents the design of temperature acquisition system based on VI technology. This system takes LABVIEW as the software development platform, simulating environmental temperature parameters via temperature sensors and heaters. Through the USB-6009 data collecting cards environmental temperature is sent to LABVIEW software platform for analysis. The system has the functions of data acquisition, display, storage, callback, save, analysis, printing statements and limit alarm processing and so on, and completes the real-time collection and analysis of the temperature.


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