-In this paper, a fuzzy logic controller is designed for a DC motor which can be used for navigation control of mobile robots. These mobile robots can be used for agricultural, defense and assorted social applications. The robots used in these fields can reduce manpower, save human life and can be operated using remote control from a distant place. The developed fuzzy logic controller is used to control navigation speed and steering angle according to the desired reference position. Differential drive is used to control the steering angle and the speed of the robot. Two DC motors are connected with the rear wheels of the robot. They are controlled by a fuzzy logic controller to offer accurate steering angle and the driving speed of the robot. Its location is monitored using GPS (Global Positioning System) on a real time basis. IR sensors in the robot detect obstacles around the robot. The designed fuzzy logic controller has been implemented in a robot, which depicts that the robot could avoid obstacle as well as perform its operation efficiently with remote online control.
This paper proposes the design of a micro-controller based fuzzy logic controller for a remote controlled mine detecting robot. In the real time applications the detection and location of bomb is highly essential in the field of defense applications. Considering the value of human life the robot is allowed in the field to detect the bomb. The mine detecting robot is designed with IR sensors, metal detector and GPS attached to it.The two DC motors are connected with the rear wheels of the robot. Differential drive is used to control the steering angle and the speed of the robot. Differential drive is a method of controlling a robot with only two motorized wheels. They are controlled by a fuzzy logic controller to offer accurate steering angle and the driving speed of the robot. The designed controller has two loops with an Outer Fuzzy Speed Control Loop and an Inner Current Control Loop. Based on the current position and the set speed value, the steering angle and the speed of a mine detecting robot will be controlled. The software for both the client system and the robot is developed using Data socket protocol in LabVIEW. The motion of the robot is monitored by RF camera. The designed controller was implemented in a PIC 16F877A microcontroller and the results are documented. The mine is detected by metal detector and the area of the mine is known through GPS. General TermsAlgorithms performance.
This paper introduces a method of automatic multilevelcar parking system that parks the vehicle in reduced space using the conditions based on fuzzy logic controller. It possibly controls the traffic and avoids traffic congestion .This automatic multi-level vehicle stacking system also has online access to book the parking slot in advance which is interfaced with the LabVIEW. The vehicle placed at the entrance point is parked automatically according to the availability of slots. The car park consists of number of slots based on three different sizes. The car is moved to the particular slot with help of an elevator placed at the centre of the parking system. The elevator consists of an arm that moves along the vertical axis and can rotate along the multi stack parking system. LabVIEW is used to check the availability of slots, total number of cars parked the movement of the elevator and the position of the arm. The programming software tracks the location of the vehicle and returns the vehicle on request from the patron by the access system installed. Thus the paper shows the description of the automatic multi-level vehicle stacking with microcontroller and fuzzy mechanism using LabVIEW to achieve conventional parking system.
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