Search results for "Position control"

Adaptive Backstepping Control of a 2-DOF Helicopter

2019

This paper proposes an adaptive nonlinear controller for a 2-Degree of Freedom (DOF) helicopter. The proposed controller is designed using backstepping control technique and is used to track the pitch and yaw position references independently. A MIMO nonlinear mathematical model is derived for the 2DOF helicopter based on Euler-Lagrange equations, where the system parameters and the control coefficients are uncertain. Unlike some existing control schemes for the helicopter control, the developed controller does not require the knowledge on the system uncertain parameters. Updating laws are used to estimate the unknown parameters. It is shown that not only the global stability is guaranteed …

Analysis of Linear Feedback Position Control in Presence of Presliding Friction

2016

A navigation and control algorithm for the position tracking of underwater vehicles

2014

In this paper we consider position control of underwater vehicles through inversion of differential kinematics based on uncalibrated, relative to the water, velocity sensors and unknown marine current. An estimation algorithm, based on the above measurements, estimates calibration parameters and marine current, assuring convergence of the estimated velocities to the true quantities. A kinematic control algorithm assures convergence to zero of the position tracking error. An extension of the basic estimation algorithm has been considered, in which position measurements are considered sampled at low rate and randomly spaced in time. Computer simulations are given of the proposed position trac…

Zigler-Nicols PID Tuning Method for Position Control of a Mobile Robot

2016

This paper presents the implementation and the tuning of PID controller for a mobile platform with differential steering. It presents a mobile platform built in the Department of Industrial Machinery & Equipment, of the Engineering Faculty of Sibiu for an European contest. In a first phase, a brief introduction to PID controller is made, followed by a description of the various robot's components and traction principles underlying locomotion of mobile platforms. At the end the paper contains several principles of tuning the PID controller for the mobile robot.

State Estimation of a Nonlinear Unmanned Aerial Vehicle Model using an Extended Kalman Filter

2008

An Extended Kalman Filter is designed in order to estimate both state variables and wind velocity vector at the same time for a non conventional unmanned aircraft. The proposed observer uses few measurements, obtained by means of either conventional simple air data sensors or a low cost GPS. To cope with the low rate of the GPS with respect to the other sensors, the EKF algorithm has been modified to allow for a dual rate measurement model. State propagation is obtained by means of an accurate six degrees of freedom nonlinear model of the aircraft dynamics. To obtain joint estimation of state and disturbance, wind velocity components are included in the set of the state variables. Both stoc…

Position Control of a Mobile Robot through PID Controller

2019

Abstract In this paper, the implementation and tuning steps of the PID controllers were proposed for the position control of a mobile robot with differential steering. The purpose of this robot was the participation in a European amateur robotics contest, the mobile robot being developed in the Engineering Faculty of Sibiu, Department of Industrial Machines and Equipment. After a brief introduction of the mobile entertainment robot, followed by description of the robot’s different components and traction principles, several principles of tuning the PID controller for the mobile robot are presented. The paper ends with some general conclusions based upon the results obtained from studying th…