Fuzzy Logic Based Trajectory Tracking Controller
S. Ravi Kumar1, R.P Das2, A. Sampath Dakshina Murthy3, K. Sunil kumar4
1S. Ravi kumar, Assistant Professor, Department of Electronics and Communication Engineering, Vignan’s Institute of Information Technology, Visakhapatnam, Andhra Pradesh, India.
2R. P Das, Assistant Professor, Department of Electronics and Communication Engineering, Vignan’s Institute of Information Technology, Visakhapatnam, Andhra Pradesh, India.
3A. Sampath Dakshina Murthy, Assistant Professor, Department of Electronics and Communication Engineering, Vignan’s Institute of Information Technology, Visakhapatnam, Andhra Pradesh, India.
4K. Sunil kumar, Assistant Professor, Department of Electronics and Communication Engineering, Vignan’s Institute of Information Technology, Visakhapatnam, Andhra Pradesh, India.
Manuscript received on 13 April 2019 | Revised Manuscript received on 20 April 2019 | Manuscript Published on 26 July 2019 | PP: 1250-1253 | Volume-8 Issue-6S4 April 2019 | Retrieval Number: F12560486S419/19©BEIESP | DOI: 10.35940/ijitee.F1256.0486S419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Shape autopilot of ship has been proposed based totally on fluffy reason. A non-direct numerical version for oil tanker is taken for assessment of parameters which shift with profundity. The presentation of proposed controller has been tested as for course by way of the usage of normal AI fluffy framework just as ANFIS ANFIS based framework for designing autopilot of deliver has been proposed. A nonlinear medical model of an oil tanker is taken for assessment of parameters which shift with profundity. The presentation of proposed controller is to be tried for both converting and direction preserving mode.
Keywords: Autopilot, Controller, Fuzzy Logic, Ship, Trajectory Tracking.
Scope of the Article: Fuzzy Logic