Nonparametric Method for Predicting the Trajectory of an Actively Maneuvering Vessel for Unmanned Aerial Vehicle Landing

2021 ◽  
Vol 22 (12) ◽  
pp. 660-670
Author(s):  
V. V. Kosyanchuk ◽  
E. Yu. Zybin ◽  
V. V. Glasov ◽  
L. Tan
Keyword(s):  
Systems Theory ◽  
Degrees Of Freedom ◽  
Model Parameters ◽  
Time Interval ◽  
Nonlinear Dynamic Model ◽  
Control Actions ◽  
Input Control ◽  
Aerial Vehicle ◽  
Direct Problems ◽  
And Control

The article is devoted to the development of algorithms for predicting the trajectory of maneuvering objects based on nonparametric systems theory. The analysis of uncertainties affecting the modeling of the movement maneuvering water objects is presented. An overview of parametric, nonparametric and combined methods for predicting maneuvering water objects trajectory is given. The problem of high-precision autonomous control of the landing unmanned aerial vehicles on the landing vessel in the conditions of its irregular movement caused by meteorological conditions and active maneuvering is being solved. The method for predicting the trajectory of a vessel’s movement based on solving direct problems of dynamics using nonparametric systems theory is proposed. The advantages of the proposed method are that it’s not affected by model errors, due to the fact that it is based only on a retrospective analysis of several consecutive values of the spatial vessel coordinates. The proposed method differs from similar nonparametric methods in that it does not require statistical calculations, own training, or time-consuming tuning. The method does not imply the solution of identification model parameters, state and control actions problems and can be applied with any unknown linearizable input control actions, including when the model of the vessel’s motion dynamics is not identifiable. The results of numerical modeling for solution the problem of predicting the trajectory of an actively maneuvering small-sized landing vessel using a full nonlinear dynamic model with six degrees of freedom are presented. The studies carried out confirm the efficiency, adequacy and very fast adjustment of the developed method under conditions of complete parametric and nonparametric uncertainty. The proposed method can be used to predict the trajectory of any vehicle under the condition of linearizability of its model and control signals over the observed time interval.

Dynamic Modeling and Control Techniques for a Quadrotor

2019 ◽  
pp. 20-66
Author(s):  
Heba Elkholy ◽  
Maki K. Habib
Keyword(s):  
Pid Controller ◽  
Degrees Of Freedom ◽  
Sliding Mode ◽  
Dynamic Performance ◽  
Simulation Environment ◽  
Modeling And Control ◽  
Controller Gain ◽  
Aerial Vehicle ◽  
And Control ◽  
The Mathematical Model

This chapter presents the detailed dynamic model of a Vertical Take-Off and Landing (VTOL) type Unmanned Aerial Vehicle (UAV) known as the quadrotor. The mathematical model is derived based on Newton Euler formalism. This is followed by the development of a simulation environment on which the developed model is verified. Four control algorithms are developed to control the quadrotor's degrees of freedom: a linear PID controller, Gain Scheduling-based PID controller, nonlinear Sliding Mode, and Backstepping controllers. The performances of these controllers are compared through the developed simulation environment in terms of their dynamic performance, stability, and the effect of possible disturbances.

scholarly journals Modeling and Control of a Six Degrees of Freedom Maglev Vibration Isolation System

Sensors ◽  
2019 ◽  
Vol 19 (16) ◽  
pp. 3608 ◽  
Author(s):  
Qianqian Wu ◽  
Ning Cui ◽  
Sifang Zhao ◽  
Hongbo Zhang ◽  
Bilong Liu
Keyword(s):  
Dynamic Model ◽  
Nonlinear Dynamic ◽  
Degrees Of Freedom ◽  
Vibration Isolation ◽  
Nonlinear Dynamic Model ◽  
Isolation System ◽  
Vibration Isolation System ◽  
Modeling And Control ◽  
And Control ◽  
Isolation Performance

The environment in space provides favorable conditions for space missions. However, low frequency vibration poses a great challenge to high sensitivity equipment, resulting in performance degradation of sensitive systems. Due to the ever-increasing requirements to protect sensitive payloads, there is a pressing need for micro-vibration suppression. This paper deals with the modeling and control of a maglev vibration isolation system. A high-precision nonlinear dynamic model with six degrees of freedom was derived, which contains the mathematical model of Lorentz actuators and umbilical cables. Regarding the system performance, a double closed-loop control strategy was proposed, and a sliding mode control algorithm was adopted to improve the vibration isolation performance. A simulation program of the system was developed in a MATLAB environment. A vibration isolation performance in the frequency range of 0.01–100 Hz and a tracking performance below 0.01 Hz were obtained. In order to verify the nonlinear dynamic model and the isolation performance, a principle prototype of the maglev isolation system equipped with accelerometers and position sensors was developed for the experiments. By comparing the simulation results and the experiment results, the nonlinear dynamic model of the maglev vibration isolation system was verified and the control strategy of the system was proved to be highly effective.

Dynamic Modeling and Control Techniques for a Quadrotor

2015 ◽  
pp. 408-454
Author(s):  
Heba Elkholy ◽  
Maki K. Habib
Keyword(s):  
Pid Controller ◽  
Degrees Of Freedom ◽  
Sliding Mode ◽  
Dynamic Performance ◽  
Simulation Environment ◽  
Modeling And Control ◽  
Controller Gain ◽  
Aerial Vehicle ◽  
And Control ◽  
The Mathematical Model

This chapter presents the detailed dynamic model of a Vertical Take-Off and Landing (VTOL) type Unmanned Aerial Vehicle (UAV) known as the quadrotor. The mathematical model is derived based on Newton Euler formalism. This is followed by the development of a simulation environment on which the developed model is verified. Four control algorithms are developed to control the quadrotor's degrees of freedom: a linear PID controller, Gain Scheduling-based PID controller, nonlinear Sliding Mode, and Backstepping controllers. The performances of these controllers are compared through the developed simulation environment in terms of their dynamic performance, stability, and the effect of possible disturbances.

Design and Control of a Mini Quad-Rotor UAV Based on Embedded System

2012 ◽  
Vol 442 ◽  
pp. 477-481
Author(s):  
Man Man Du ◽  
Feng Jin
Keyword(s):  
Embedded System ◽  
Inertial Sensor ◽  
Nonlinear Dynamic Model ◽  
Practical Applications ◽  
Control Scheme ◽  
Embedded Model ◽  
Aerial Vehicle ◽  
Working Principle ◽  
And Function ◽  
And Control

In this paper, one kind of quad-rotor UAV (unmanned aerial vehicle) controller is designed according to analyze its structure and function. The hardware platform is established based on DSP MC56F8037, inertial sensor unit, as well as facilities that make it suitable for the dynamic system. According to the analysis of the working principle of the quad-rotor, the nonlinear dynamic model is established. This is a hierarchical embedded model based control scheme that is built upon the concept of backstepping, the simulation result shows the controllers are valid. This realization makes a great progress in the development process of a more advanced realization of an UAV suitable for practical applications.

scholarly journals Modeling and Control of an Active Stabilizing Assistant System for a Bicycle

Sensors ◽  
2019 ◽  
Vol 19 (2) ◽  
pp. 248 ◽  
Author(s):  
Chih-Keng Chen ◽  
Trung-Dung Chu ◽  
Xiao-Dong Zhang
Keyword(s):  
Dynamic Behavior ◽  
Degrees Of Freedom ◽  
Rear Seat ◽  
System Dynamic ◽  
Lagrange Equations ◽  
Modeling And Control ◽  
Control Actions ◽  
Bicycle Rider ◽  
Study Designs ◽  
And Control

This study designs and controls an active stabilizing assistant system (ASAS) for a bicycle. Using the gyroscopic effect of two spinning flywheels, the ASAS generates torques that assist the rider to stabilize the bicycle in various riding modes. Riding performance and the rider’s safety are improved. To simulate the system dynamic behavior, a model of a bicycle–rider system with the ASAS on the rear seat is developed. This model has 14 degrees of freedom and is derived using Lagrange equations. In order to evaluate the efficacy of the ASAS in interacting with the rider’s control actions, simulations of the bicycle–rider system with the ASAS are conducted. The results for the same rider for the bicycle with an ASAS and on a traditional bicycle are compared for various riding conditions. In three cases of simulation for different riding conditions, the bicycle with the proposed ASAS handles better, with fewer control actions being required than for a traditional bicycle.

CONTROL OF OBJECTS OF OIL REFINING MODEL

2017 ◽  
pp. 78-82
Author(s):  
L. G. Tugashova ◽  
K. L. Gorshkova
Keyword(s):  
Genetic Algorithm ◽  
Regression Model ◽  
Dynamic Model ◽  
Nonlinear Dynamic ◽  
Control Model ◽  
Oil Refining ◽  
Nonlinear Dynamic Model ◽  
Control Actions ◽  
Main Components ◽  
And Control

The approaches to improve the management of processes of oil refining. The description of the control model and the adjustment of the coefficients of the controller by using genetic algorithm. Selected basic adjustable parameters and control actions. The main components of the control circuit for the models are: limitations of the regression model, nonlinear dynamic model, the unit of optimization.

scholarly journals Assessing the effects of time-dependent restrictions and control actions to flatten the curve of COVID-19 in Kazakhstan

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e10806
Author(s):  
Ton Duc Do ◽  
Meei Mei Gui ◽  
Kok Yew Ng
Keyword(s):  
Ad Hoc ◽  
Reproduction Number ◽  
National Level ◽  
Control Measures ◽  
Time Dependent ◽  
Transmission Dynamics ◽  
Model Parameters ◽  
Real World Data ◽  
Control Actions ◽  
And Control

This article presents the assessment of time-dependent national-level restrictions and control actions and their effects in fighting the COVID-19 pandemic. By analysing the transmission dynamics during the first wave of COVID-19 in the country, the effectiveness of the various levels of control actions taken to flatten the curve can be better quantified and understood. This in turn can help the relevant authorities to better plan for and control the subsequent waves of the pandemic. To achieve this, a deterministic population model for the pandemic is firstly developed to take into consideration the time-dependent characteristics of the model parameters, especially on the ever-evolving value of the reproduction number, which is one of the critical measures used to describe the transmission dynamics of this pandemic. The reproduction number alongside other key parameters of the model can then be estimated by fitting the model to real-world data using numerical optimisation techniques or by inducing ad-hoc control actions as recorded in the news platforms. In this article, the model is verified using a case study based on the data from the first wave of COVID-19 in the Republic of Kazakhstan. The model is fitted to provide estimates for two settings in simulations; time-invariant and time-varying (with bounded constraints) parameters. Finally, some forecasts are made using four scenarios with time-dependent control measures so as to determine which would reflect on the actual situations better.

scholarly journals Shared planning and control for mobile robots with integral haptic feedback

2018 ◽  
Vol 37 (11) ◽  
pp. 1395-1420 ◽  
Author(s):  
Carlo Masone ◽  
Mostafa Mohammadi ◽  
Paolo Robuffo Giordano ◽  
Antonio Franchi
Keyword(s):  
Mobile Robots ◽  
User Study ◽  
Force Feedback ◽  
Haptic Feedback ◽  
Cluttered Environments ◽  
Geometrical Properties ◽  
Planning And Control ◽  
Control Actions ◽  
Aerial Vehicle ◽  
And Control

This paper presents a novel bilateral shared framework for online trajectory generation for mobile robots. The robot navigates along a dynamic path, represented as a B-spline, whose parameters are jointly controlled by a human supervisor and an autonomous algorithm. The human steers the reference (ideal) path by acting on the path parameters that are also affected, at the same time, by the autonomous algorithm to ensure: (i) collision avoidance, (ii) path regularity, and (iii) proximity to some points of interest. These goals are achieved by combining a gradient descent-like control action with an automatic algorithm that re-initializes the traveled path (replanning) in cluttered environments to mitigate the effects of local minima. The control actions of both the human and the autonomous algorithm are fused via a filter that preserves a set of local geometrical properties of the path to ease the tracking task of the mobile robot. The bilateral component of the interaction is implemented via a force feedback that accounts for both human and autonomous control actions along the whole path, thus providing information about the mismatch between the reference and traveled path in an integral sense. The proposed framework is validated by means of realistic simulations and actual experiments deploying a quadrotor unmanned aerial vehicle (UAV) supervised by a human operator acting via a force-feedback haptic interface. Finally, a user study is presented to validate the effectiveness of the proposed framework and the usefulness of the provided force cues.

A Novel Micro Aerial Vehicle Design: The Evolution of the Omnicopter MAV

2014 ◽  
Author(s):  
Yangbo Long ◽  
Andreas Gelardos ◽  
David J. Cappelleri
Keyword(s):  
Degrees Of Freedom ◽  
First Generation ◽  
Vehicle Design ◽  
Micro Aerial Vehicle ◽  
Yaw Control ◽  
Actuation System ◽  
Aerial Vehicle ◽  
3D Printed ◽  
Test Flight ◽  
And Control

This paper presents an evolution on the configuration of a novel micro aerial vehicle (MAV) design, the Omnicopter MAV. The first generation Omnicopter prototype has an actuation system with eight degrees of freedom (DOFs) consisting of 5 brushless direct current (BLDC) motors and 3 servo motors. It is composed of a carbon fiber rod built airframe, 2 central counter-rotating coaxial propellers for thrust and yaw control, and 3 perimeter-mounted electric ducted fans (EDFs) with servo motors performing thrust vectoring. During the development of the second generation prototype, we simplified and 3D printed the frame to increase stiffness, robustness and manufacturability, and reduced the actuation DOFs from 8 to 7 by removing the top propeller and using just the bottom one for yaw control to improve performance. Flight controller and control allocator designs and test flight results for this new configuration are presented in this paper.

Control Architecture and Control Laws Design for Multiple UAVs Formation Flight

2012 ◽  
Vol 246-247 ◽  
pp. 853-857
Author(s):  
Guang Lei Meng
Keyword(s):  
Degrees Of Freedom ◽  
Formation Flight ◽  
Control Architecture ◽  
Mathematical Representation ◽  
Control Laws ◽  
Multiple Uavs ◽  
Finite State ◽  
Aerial Vehicle ◽  
6 Degrees Of Freedom ◽  
And Control

An autonomous formation-flight method for multiple UAVs (Unmanned Aerial Vehicle) was designed. First the mathematical representation of formation shape was analyzed. Then the control architecture was devised for multiple UAVs formation flight based on finite state machine. The flight states of the wing UAV were built through the formation flight and the transformation relationships of these flight states were defined. So the automated transformation among these flight states could be achieved and the intelligence of the pilots could be mimicked by this way. Aiming at the typical flight state which is capable of maintaining the formation shape, the control laws were contrived for the wing UAVs. Finally, two nonlinear fighter models which have 6 degrees of freedom were selected to carry out autonomous formation-flight experiments. And the results show the control laws designed for maintaining the formation shape are valid.

Sign in / Sign up

Export Citation Format

Share Document