Prototyping Non-holonomic Hovercraft for Path Planning and Obstacle Avoidance

By definition, autonomous control systems are the systems that sense the physical quantities from their environment and may execute any dirty, difficult, dull and dangerous task without any intervention. These systems are mostly used in the transportation of large packages from one place to another autonomously by selecting the shortest path, accurate speed and obstacle avoidance. This paper describes the development of fuzzy based PID control algorithm to tackle the dynamic constraints of localization for proposed non-holonomic hovercraft. Furthermore, in order to monitor the hovercraft that whether it is hovering in a familiar or strange environment; paper suggests the incorporation of digital image processing technique which will regularly correlate, the images being captured by the prototype. Moreover, paper methodology also provides the deployment way along with the interfacing techniques of some configurable sensors, which will share the information related to the surroundings of hovercraft using internet of things (IoT).