Robust Optimization of Routing Robot for Prediction, Estimation and Target Trajectory based on Bat Algorithm

Mobile robots have a wide range of applications in the industry. It is necessary and necessary to determine its errors in parametric and non-parametric indeterminate conditions, as well as to provide a robust controller along with tracking the target in them. Hence, the research has been attempting to provide a controller-based target tracking method for estimating control errors in mobile robots. The proposed method is to use the LQR controller as robust and optimized and use the Bat Algorithm node s observation to calculate and identify control errors. A linear Kalman filter is also used to track targets in a moving robot. The results show that the proposed method has a good performance compared to previous methods