Author(s): A. Alaeipour; H. Morovvati

Linked Author(s):

Keywords: Sub-sea robot; Neural network; Mamdani fuzzy system; Path planning; Underwater routing

Abstract: Smart robots need to have the proper path along the way. In addition to precision routing, non-functional characteristics such as response time are also considered. In the current research using neural network and Mamdani fuzzy system for robot the right path recognized. Effective factors are identifying in routing underwater robot as input to the neural network and the ability of the robot to be considerate as a parameter. Formation of the linguistic variables used in Mamdani system. Effective parameters in undersea robot used in fuzzy system. Mamdani fuzzy rules resulting from the system increased accuracy and efficiency. With regard to the uncertainty on the parameters have been identified, the proposed approach provides better accuracy compared with previous works. In this paper, by introducing a new high-tech Sub-Sea Smart Robot by Neural and fuzzy Methods, we understand new Techniques of complexity of such systems. In many applications, Sub-Sea Robots needs to be flexible to any given depth, properties of sea waters, hydrodynamics forces and used energy. Tracing of special Path-lines in sea waters for Robots and stability the balance of geometry are important. Controlling and guiding the Robot to special points of Sea bed is very important. All the motions of solid objects aren’t straight line, either in the page or in space, they can have complex movement. we can able to move them mathematically. In robotic technology, we can use intelligent submarine Robot to move underwater. Modelling and intelligent control using Neuro-Fuzzy system has an effective role in the progress of science and engineering. The force of drag (from the sea) is very effective and velocity of vertical and horizontal robot causing friction and change track. Due to the complexity of the aquatic environment and marine systems, effect of many parameters such as sea waves, sea currents, tides, circulation water, water depth, currents, density and types of noise audio at the design direction of the underwater robot taken more time and energy. without using neural network and fuzzy system for modelling and designing underwater robots, effective routing will be impossible.

DOI: https://doi.org/10.3850/978-981-11-2731-1_028-cd

Year: 2018