首页|Reports from Indian Institute of Technology Roorkee Add New Data to Findings in Robotics (Trajectory Tracking Control of a Mobile Robot Using Fuzzy Logic Contro ller With Optimal Parameters)
Reports from Indian Institute of Technology Roorkee Add New Data to Findings in Robotics (Trajectory Tracking Control of a Mobile Robot Using Fuzzy Logic Contro ller With Optimal Parameters)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – A new study on Robotics is now available. Accordi ng to news reporting originating in Uttarakhand, India, by NewsRx journalists, r esearch stated, “This work investigates the use of a fuzzy logic controller (FLC ) for two-wheeled differential drive mobile robot trajectory tracking control. D ue to the inherent complexity associated with tuning the membership functions of an FLC, this work employs a particle swarm optimization algorithm to optimize t he parameters of these functions.” The news reporters obtained a quote from the research from the Indian Institute of Technology Roorkee, “In order to automate and reduce the number of rule bases , the genetic algorithm is also employed for this study. The effectiveness of th e proposed approach is validated through MATLAB simulations involving diverse pa th tracking scenarios. The performance of the FLC is compared against establishe d controllers, including minimum norm solution, closed-loop inverse kinematics, and Jacobian transpose-based controllers. The results demonstrate that the FLC o ffers accurate trajectory tracking with reduced root mean square error and contr oller effort. An experimental, hardware-based investigation is also performed fo r further verification of the proposed system. In addition, the simulation is co nducted for various paths in the presence of noise in order to assess the propos ed controller’s robustness.”
UttarakhandIndiaAsiaEmerging Techn ologiesFuzzy LogicMachine LearningRobotRoboticsIndian Institute of Tec hnology Roorkee
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