Legged Fire Fighter Robot Movement Using PID

Proportional Integral Derivative (PID) control is a control system commonly used by industry. Approximately 90% of industrial equipment uses a PID controller because it is easy to use. In the Indonesian Fire Extinguisher Robot Contest (IFERC), the contested robots must follow the contours of the walls of the arena. A Fire extinguisher robot navigation was chosen because the race arena of the competition consisted of walls with different aisles and rooms. The navigation robots used PID control. This study designed and implemented a control algorithm for legged fire extinguishing robots using the PID method, where the PID control was processed in a microcontroller. The angles for each servo motor generated by the calculation of the PID enable the robot to navigate by taking decisions to move quickly or slowly, turn right, turn left and stop. The robot's proximity sensor data and fire sensors enable the fire to be extinguished. The result showed that the robot can carry out its duties optimally

Transition control of a tail-sitter UAV using recurrent neural networks

This paper presents the implementation of a Recurrent Neural Network (RNN) based-controller for the stabilization of the flight transition maneuver (hover-cruise and vice versa) of a tail-sitter UAV. The control strategy is based on attitude and velocity stabilization. For that aim, the RNN is used for the estimation of high nonlinear aerodynamic terms during the transition stage. Then, this estimate is used together with a feedback linearization technique for stabilizing the entire system. Results show convergence of linear velocities and the pitch angle during the transition maneuver. To analyze the performance of our proposed control strategy, we present simulations for the transition from hover to cruise and vice versa.Comment: 7 pages 16 figures Conference pape