Ali Jebelli

Fuzzy logic temperature controller for small robots

Malfunctions in a working robot system are serious factors which can result in deviations from the desired goals. Among these, temperature increase over safe values is one of the most important factors that can limit the usage of available energy. The heat generated from motors and batteries can damage the electrical systems and affect the overall performance. This results in the need to control and maximize the utilization of supplied energy from batteries. In this paper, the authors designed an intelligent system to control temperature thus preventing system malfunction due to overheating in insulated robots, such as underwater robots. This temperature controller works in parallel with the robot motion controller. The proposed temperature control system uses fuzzy logic as a control layer system. It has been adopted to avoid system errors and efficiently use the energy available. The system is developed using fans, heaters and fuzzy logic circuits for achieving an energy efficient robot with long-term high performance.

Design and Control of a Self-Balancing Autonomous Underwater Vehicle with Vision and Detection Capabilities

In this paper, the authors discuss the design and control of an autonomous underwater vehicle with vision and detection capabilities. The tasks involved the design of various mechanical parts, particularly two rotating thrusters and a mass shifter to control the device movement. Sensor boards were also embedded to share information with a Mini-PC board and thus, to assure proper operation. Control-based algorithms were developed to control the vehicle operation and assure proper responses to external commands and/or surrounding conditions.

Modeling of an Autonomous Underwater Robot with Rotating Thrusters

Mathematical modeling, simulation and control of an underwater robot are a very complex task due to its nonlinear dynamic structure. In this paper, the authors present kinematic and dynamic modeling of an underwater robot with two rotating thrusters. Through a virtual environment implemented in MATLAB and LabVIEW, the performance of the proposed robot under real operating conditions was demonstrated.

Intelligent Control System for Autonomous Underwater Robots with VisionCapabilities

In this work, an autonomous underwater robot prototype capable of detecting obstacles for safe navigation had been successfully designed and tested. It uses an efficient fuzzy-based system for controlling its movement and a robust image processing algorithm to process data collected by two embedded cameras.