Trajectory Tracking Control for Micro Unmanned Aerial Vehicles

2013 ◽  
Vol 798-799 ◽  
pp. 448-451
Author(s):  
Rui Yong Zhai ◽  
Wen Dong Zhang ◽  
Zhao Ying Zhou ◽  
Sheng Bo Sang ◽  
Pei Wei Li
Keyword(s):  
Trajectory Tracking ◽  
Tracking Control ◽  
Kinematic Model ◽  
Flight Test ◽  
Guidance System ◽  
Test Results ◽  
Control Loop ◽  
Trajectory Tracking Control ◽  
Unmanned Air Vehicle ◽  
Air Vehicle

This article considers the problem of trajectory tracking control for a micro fixed-wing unmanned air vehicle (UAV). With Bank-to-Turn (BTT) method to manage lateral deviation control of UAV, this paper discusses the outer loop guidance system, which separates the vehicle guidance problems into lateral control loop and longitudinal control loop. Based on the kinematic model of the coordinated turning of UAV, the aircraft can track a pre-specified flight path with desired error range. Flight test results on a fixed-wing UAV have indicated that the trajectory tracking control law is quite effective.

Integrated Forward and Reverse Trajectory Tracking Control for Car-Like Ground Vehicle

2019 ◽  
Author(s):  
Yuanyan Chen ◽  
J. Jim Zhu ◽  
Letian Lin
Keyword(s):  
Trajectory Tracking ◽  
Tracking Control ◽  
Kinematics And Dynamics ◽  
Test Results ◽  
Ground Vehicles ◽  
Steering Control ◽  
Original Design ◽  
Trajectory Tracking Control ◽  
Validation Test ◽  
Highly Nonlinear

Abstract Conventional automatic trajectory tracking control technics for car-like ground vehicles typically decompose the controller into separate longitudinal driving control and lateral-directional steering control, owing to the nonholonomic kinematic constraint, highly nonlinear dynamics and control under-actuation of such vehicles. However, such decoupled control techniques inevitably impose operational constraints on agile maneuvers that may be critical in evading impending collisions, preventing loss-of-control of the vehicle, and special maneuvers that are needed for law enforcement missions. Thus, integrated three-Degree-of-Freedom (3DOF) tracking control of car-like ground vehicles are highly desirable but remains a challenging problem. There also appears to be a lack of research on automated reverse driving. In our previous work [ASME DSCC2017-5372, DSCC2018-9148], design and hardware validation test results of an integrated 3DOF trajectory tracking controller based on nonlinear kinematics and dynamics vehicle model using Trajectory Linearization Control (TLC) for forward driving have been reported. The present paper supplements that work with design and hardware validation test results on vehicle backward driving at fast and low speeds. The reverse driving control incurs minimal alteration to the original design with minimal tuning efforts due to the model-based TLC control approach, and it should be readily scaled-up to full-size vehicles and adapted to different types of autonomous ground vehicles with the knowledge of vehicles’ kinematics and dynamics parameters.

scholarly journals Backstepping Based Trajectory Tracking Control of a Four Wheeled Mobile Robot

10.5772/6224 ◽  
2008 ◽  
Vol 5 (4) ◽  
pp. 38 ◽  
Author(s):  
Umesh Kumar ◽  
Nagarajan Sukavanam
Keyword(s):  
Mobile Robot ◽  
Trajectory Tracking ◽  
Tracking Control ◽  
Controller Design ◽  
Kinematic Model ◽  
Wheeled Mobile Robot ◽  
Trajectory Tracking Control ◽  
Kinematic Equation ◽  
Pure Rolling ◽  
Tracking Strategy

For a four wheeled mobile robot a trajectory tracking concept is developed based on its kinematics. A trajectory is a time–indexed path in the plane consisting of position and orientation. The mobile robot is modeled as a non holonomic system subject to pure rolling, no slip constraints. To facilitate the controller design the kinematic equation can be converted into chained form using some change of co-ordinates. From the kinematic model of the robot a backstepping based tracking controller is derived. Simulation results demonstrate such trajectory tracking strategy for the kinematics indeed gives rise to an effective methodology to follow the desired trajectory asymptotically.

scholarly journals Construction of a WMR for Trajectory Tracking Control: Experimental Results

2013 ◽  
Vol 2013 ◽  
pp. 1-17 ◽  
Author(s):  
R. Silva-Ortigoza ◽  
C. Márquez-Sánchez ◽  
M. Marcelino-Aranda ◽  
M. Marciano-Melchor ◽  
G. Silva-Ortigoza ◽  
...  
Keyword(s):  
Trajectory Tracking ◽  
Tracking Control ◽  
Kinematic Model ◽  
Cubic Splines ◽  
Control Law ◽  
Level Control ◽  
Trajectory Tracking Control ◽  
Smooth Curves ◽  
Low Level ◽  
High Level

This paper reports a solution for trajectory tracking control of a differential drive wheeled mobile robot (WMR) based on a hierarchical approach. The general design and construction of the WMR are described. The hierarchical controller proposed has two components: a high-level control and a low-level control. The high-level control law is based on an input-output linearization scheme for the robot kinematic model, which provides the desired angular velocity profiles that the WMR has to track in order to achieve the desired position(x*,y*)and orientation(φ*). Then, a low-level control law, based on a proportional integral (PI) approach, is designed to control the velocity of the WMR wheels to ensure those tracking features. Regarding the trajectories, this paper provides the solution or the following cases: (1) time-varying parametric trajectories such as straight lines and parabolas and (2) smooth curves fitted by cubic splines which are generated by the desired data pointsx1*,y1*,…,xn*,yn*. A straightforward algorithm is developed for constructing the cubic splines. Finally, this paper includes an experimental validation of the proposed technique by employing a DS1104 dSPACE electronic board along with MATLAB/Simulink software.

scholarly journals Ship Trajectory Tracking Control System Design Based on Sliding Mode Control Algorithm

2018 ◽  
Vol 25 (3) ◽  
pp. 26-34 ◽  
Author(s):  
Yong Liu ◽  
Renxiang Bu ◽  
Xiaori Gao
Keyword(s):  
Sliding Mode Control ◽  
Trajectory Tracking ◽  
Tracking Control ◽  
Control Algorithm ◽  
Sliding Mode ◽  
Guidance System ◽  
Motion Path ◽  
Sliding Mode Controller ◽  
Trajectory Tracking Control ◽  
Mode Control

Abstract The paper reports the design and tests of the planar autopilot navigation system in the three-degree-of-freedom (3-DOF) plane (surge, sway and yaw) for a ship. The aim of the tests was to check the improved maneuverability of the ship in open waters using the improved nonlinear control algorithm, developed based on the sliding mode control theory for the ship-trajectory tracking problem of under-actuated ships with static constraints, actuator saturation, and parametric uncertainties. With the integration of the simple increment feedback control law, the dynamic control strategy was developed to fulfill the under-actuated tracking and stabilization objectives. In addition, the LOS (line of sight) guidance system was applied to control the motion path, whereas the sliding mode controller was used to emulate the rudder angle and propeller rotational speed control. Firstly, simulation tests were performed to verify the validity of the basic model and the tracking control algorithm. Subsequently, full scale maneuverability tests were done with a novel container ship, equipped with trajectory tracking control and sliding mode controller algorithm, to check the dynamic stability performance of the ship. The results of the theoretical and numerical simulation on a training ship verify the invariability and excellent robustness of the proposed controller, which: effectively eliminates system chattering, solves the problem of lateral drift of the ship, and maintains the following of the trajectory while simultaneously achieving global stability and robustness.

Trajectory Tracking Control of Nonholonomic Wheeled Mobile Robots with Actuator Dynamic Being Considered

2012 ◽  
Vol 433-440 ◽  
pp. 2596-2601 ◽  
Author(s):  
Guang Xin Han ◽  
Yan Hui Zhao
Keyword(s):  
Mobile Robots ◽  
Trajectory Tracking ◽  
Tracking Control ◽  
Closed Loop ◽  
Kinematic Model ◽  
Lyapunov Theory ◽  
Control Law ◽  
Wheeled Mobile Robots ◽  
Trajectory Tracking Control ◽  
Actuator Dynamics

In this paper trajectory tracking control problem for nonholonomic wheeled mobile robots with the actuator dynamics being considered is studied. On the basis of rotation error transformation and backstepping technique, tracking control law designed for kinematic model is backstepped into dynamic model and furthermore actuator dynamics is involved. Closed-loop stability is guaranteed by Lyapunov theory and Routh-Hurwitz Criterion. Finally simulation results for tracking typical trajectory are presented.

Motion modeling of a non-holonomic wheeled mobile robot based on trajectory tracking control

2020 ◽  
Vol 44 (2) ◽  
pp. 228-233
Author(s):  
Xuefeng Han ◽  
Mingda Ge ◽  
Jicheng Cui ◽  
Hao Wang ◽  
Wei Zhuang
Keyword(s):  
Neural Network ◽  
Mobile Robot ◽  
Trajectory Tracking ◽  
Tracking Control ◽  
Control Method ◽  
Kinematic Model ◽  
Wheeled Mobile Robot ◽  
Proportional Integral Derivative ◽  
Trajectory Tracking Control ◽  
Proportional Integral

Trajectory tracking is a problem of emphasis for the mobile robot. In this study, a coordinate transformation method was used to build a kinematic model of the wheeled mobile robot. A traditional proportional-integral-derivative control method was researched and improved by combining it with a neural network. A neural network proportional-integral-derivative trajectory tracking control method was thus designed, and a simulation experiment was performed using Simulink. The results show that in circular trajectory tracking control, the maximum errors of the X axis, Y axis, and θ were approximately 2.1 m, 2.3 m, and 0.4 rad, respectively, and that the system remained stable after running for 10 s. In straight-line trajectory tracking control, the maximum errors of the X axis, Y axis, and θ were approximately −0.8 m, 1.3 m, and 0.3 rad, respectively, and the system remained stable after running for 8 s. The error was relatively small, and the effect of trajectory tracking control was good. The studied method had good performance in terms of wheeled mobile robot trajectory tracking control and is worthy of further promotion and application.

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