Abstract
— By definition, autonomous control systems are thesystems that sense the physical quantities from their environmentand may execute any dirty, difficult, dull and dangerous taskwithout any intervention. These systems are mostly used in thetransportation of large packages from one place to anotherautonomously by selecting the shortest path, accurate speed andobstacle avoidance. This paper describes the development offuzzy based PID control algorithm to tackle the dynamicconstraints of localization for proposed non-holonomichovercraft. Furthermore, in order to monitor the hovercraft thatwhether it is hovering in a familiar or strange environment;paper suggests the incorporation of digital image processingtechnique which will regularly correlate, the images beingcaptured by the prototype. Moreover, paper methodology alsoprovides the deployment way along with the interfacingtechniques of some configurable sensors, which will share theinformation related to the surroundings of hovercraft usinginternet of things (IoT).
Highlights
According to one of the recent report generated by International Society of Automation (ISA), states that there will be a rapid demand for autonomous vehicles by the world in the year of 2020
Discussing these vehicles with respect to their applications, one can classify them as Unmanned Ground Vehicle (UGV), Unmanned Aerial Vehicle (UAV) and Unmanned Under-water Vehicle (UUV)
Before implementation it is better to study different research manuscripts related to Simultaneously Localization and Mapping (SLAM), where one can find lane tracking of autonomous vehicles using computer vision or image processing [1]
Summary
According to one of the recent report generated by International Society of Automation (ISA), states that there will be a rapid demand for autonomous vehicles by the world in the year of 2020. This paper focuses on one of the similar types of vehicles having two actuators and three degree of freedom named as non-holonomic hovercraft This mechatronic system is much efficient in terms of power consumption because of its natural dynamics and less number of actuators it is easy to prototype but yet a lot of perfection is required. Before implementation it is better to study different research manuscripts related to Simultaneously Localization and Mapping (SLAM), where one can find lane tracking of autonomous vehicles using computer vision or image processing [1] In such papers the term ‘Path Planning’ can be defined, as a task comprises of some numerical computation that will lead any UGV to reach at its final position. Looking over the mechatronic structures, it is suggested that the structures with less weight may consume less power and are very much beneficial in maneuvering hovercraft on any surface [9]
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