Abstract: The objective of this paper is to investigate and find a solution by designing the intelligent controllers for controlling liquid level system using Artificial Neural Network. The controllers also can be specifically run under the circumstance of system disturbances. To achieve such objectives, a prototype of liquid level control system has been built and implementations of neural network control algorithms are performed. In neural network control, the approach of Model Reference Adaptive Neural Network Control based on the back propagation algorithm is applied on training the system. The control algorithms based on Neural Network is developed and its performances is observed for the liquid level system.

• Publication Date: 13-Jun-2013
• DOI: 10.15224/978-981-07-6935-2-69
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Abstract: This paper proposes the use of FBG sensor to measure the lateral and vertical forces at the rail-wheel contact point. The ratio of lateral and vertical force at the flange contact contact point is called Nadal limit for a certain critical value for which derailment is likely to occur. Simulation has been done for the measurement of lateral and vertical forces with the increasing velocity and taking the range of radius of curve from 600m to 1000m

• Publication Date: 13-Jun-2013
• DOI: 10.15224/978-981-07-6935-2-70
• Views: 0
• Downloads: 0