2015 · 17 citations · 8 references
EngineeringMechanical EngineeringRobotics EngineeringProcess ControlRobot ControlRoboticsBalance ControlControl SystemsMotion ControlRobotics TechnologyBalancingFuzzy ControlFuzzy Control SystemsFuzzy Logic Controller TuningIntelligent ControlPid Control DesignPid TuningSelf-balancing Robots
The Fuzzy logic combined with PID control is designed to implement the effect of a disturbance force varying in magnitude, position, and duration to optimize the two wheeled and self-balancing robot. Matlab software was used to obtain Simulink-simulation of the experiment process. The simulation results shows that PID parameters that obtained from the use of auto-tuning is Kp = 16.60, Ki = 8.47, and Kd = 8.90. The simulation results of Fuzzy and PID combination shows that the error can be reduce approximately around 60 %. It is indicated that the Fuzzy logic with PID was better to reduce error in Two Wheeled and Self Balancing Robot than using Fuzzy logic.
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