scholarly journals Motion Control of a 4WS4WD Path-Following Vehicle: Dynamics-Based Steering and Driving Models

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Zhonghua Zhang ◽  
Caijin Yang ◽  
Weihua Zhang ◽  
Yanhai Xu ◽  
Yiqiang Peng ◽  
...  
Keyword(s):  
Dynamic Model ◽  
Motion Control ◽  
Degrees Of Freedom ◽  
Path Following ◽  
Coordinate Space ◽  
Vehicle Model ◽  
Control Models ◽  
Path Following Control ◽  
Vehicle Path ◽  
And Control

This paper deals with a four-wheel-steering four-wheel-driving (4WS4WD) vehicle under the path-following control. Focuses are placed on the motion control of the vehicle, and the drive forces and steering angles for achieving accurate path-following by the vehicle are determined. In this research, a nonlinear vehicle model of three degrees of freedom (DOFs) is used. The vehicle path-following dynamics are modeled using the classical mass-damper-spring vibration theory, which is described by three ordinary differential equations of second order with lateral, heading and velocity deviations, and control parameters. Combined with the vehicle path-following dynamic model, the nonlinear vehicle dynamic model is decoupled in generalized coordinate space. The required drive forces and steering angles for the vehicle path-following controllers are thus calculated and control models are obtained. Theoretical analysis for steering and driving control models is also carried out. It discloses that control models can maintain good performance against uncertainties. The vehicle path-following control is exhibited by dynamic simulation in CarSim with consideration of a complex vehicle model and a variable-curvature planned path. Numerical results obtained are analyzed and show control models have capable of dealing with a complex path-following problem. This paper provides a new insight into understanding path-following control of a 4WS4WD vehicle at the generalized vibration level.

scholarly journals Motion Control of a 4WS4WD Path-Following Vehicle: Further Studies on Steering and Driving Models

2021 ◽  
Vol 2021 ◽  
pp. 1-25
Author(s):  
Zhonghua Zhang ◽  
Caijin Yang ◽  
Weihua Zhang ◽  
Yanhai Xu ◽  
Yiqiang Peng ◽  
...  
Keyword(s):  
Motion Control ◽  
Deep Level ◽  
Dynamic Environment ◽  
Path Following ◽  
Complex Problem ◽  
Level Control ◽  
Control Models ◽  
Path Following Control ◽  
Vehicle Path ◽  
Vehicle Dynamic Model

Further research on motion control of a 4WS4WD path-following vehicle is carried out in this paper. Focuses are placed on understanding and testing the vehicle path-following control models developed previously at a deep level. Control models are in relation to parameters introduced, and the effects of these parameters are discovered. Control models are interpreted by dynamic simulation using a 3DOF vehicle model with three cases. Three kinds of planned paths are considered in these cases to test control performances, which include the straight, circular, and sinusoidal paths. Interesting dynamic results are obtained and analyzed qualitatively, e.g., various steering modes. Simulation studies are extended with consideration of a fine vehicle dynamic model established in CarSim and a complex path composed of straight and curved segments. Control models are examined in a complex problem, and results obtained show that they are validated with robustness in dynamic environment.

scholarly journals Modeling and Experimental Testing of an Unmanned Surface Vehicle with Rudderless Double Thrusters

Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 2051 ◽  
Author(s):  
Chunyue Li ◽  
Jiajia Jiang ◽  
Fajie Duan ◽  
Wei Liu ◽  
Xianquan Wang ◽  
...  
Keyword(s):  
Degrees Of Freedom ◽  
Experimental Testing ◽  
Path Following ◽  
Model Parameters ◽  
Crucial Issue ◽  
Unknown Parameters ◽  
Path Following Control ◽  
Differential Thrust ◽  
Three Degrees Of Freedom ◽  
Propeller Thrust

Motion control of unmanned surface vehicles (USVs) is a crucial issue in sailing performance and navigation costs. The actuators of USVs currently available are mostly a combination of thrusters and rudders. The modeling for USVs with rudderless double thrusters is rarely studied. In this paper, the three degrees of freedom (DOFs) dynamic model and propeller thrust model of this kind of USV were derived and combined. The unknown parameters of the propeller thrust model were reduced from six to two. In the three-DOF model, the propulsion of the USV was completely provided by the resultant force generated by double thrusters and the rotational moment was related to the differential thrust. It combined the propeller thrust model to represent the thrust in more detail. We performed a series of tests for a 1.5 m long, 50 kg USV, in order to obtain the model parameters through system identification. Then, the accuracy of the modeling and identification results was verified by experimental testing. Finally, based on the established model and the proportional derivative+line of sight (PD+LOS) control algorithm, the path-following control of the USV was achieved through simulations and experiments. All these demonstrated the validity and practical value of the established model.

Vector field path-following control for a small unmanned ground vehicle with Kalman filter estimation

2020 ◽  
pp. 095440542097734
Author(s):  
Yun-Ping Sun ◽  
Yen-Chu Liang
Keyword(s):  
Kalman Filter ◽  
Vector Field ◽  
Design Method ◽  
Path Following ◽  
Labor Cost ◽  
Design Parameters ◽  
Ground Vehicles ◽  
Level Control ◽  
Path Following Control ◽  
And Control

Industry 4.0 accelerates the growth of unmanned technology that reduces the labor cost and creates high automation in manufacturing system. The automated guided vehicle which is capable of transferring materials or executing tasks without human intervention becomes a necessary system for modern unmanned factories. The study explores the guidance and control design to accomplish the common task of path-following control for unmanned ground vehicles (UGV). A complete design method is presented that includes the lateral-directional autopilot, the vector field guidance for path-following, and multi-sensor fusion. The lateral-directional autopilot produces the low-level control action, the higher level guidance indicates the course direction of UGV at every spatial point based on the lateral path error, and the accurate UGV position relies on the estimate obtained by dynamically fusing sensors with extended Kalman filter. The design parameters in every stage are analyzed theoretically first and then fine-tuned in practice. The process is clearly described in this study, and the field test results are discussed in details to verify the performance of the proposed method and demonstrate the superiority over others.

Horizontal path following for underactuated AUV based on dynamic circle guidance

Robotica ◽  
2015 ◽  
Vol 35 (4) ◽  
pp. 876-891 ◽  
Author(s):  
Huang Xinjing ◽  
Li Yibo ◽  
Du Fei ◽  
Jin Shijiu
Keyword(s):  
Control Method ◽  
Autonomous Underwater Vehicles ◽  
Path Following ◽  
Mapping Function ◽  
Convex Mapping ◽  
Guidance And Control ◽  
Path Following Control ◽  
And Control ◽  
Cross Track ◽  
Path Point

SUMMARYA 2D path following control method for Autonomous Underwater Vehicles (AUVs) based on dynamic circle heading modification (DCHM) is presented. The method makes a dynamic auxiliary circle, whose radius depends on the cross-track error e, to intersect the desired path to get a new expected path point, and then determines a modified expected heading for the AUV. The guidance function is achieved by a direct mapping between e and the heading modification value Ψm. Several cases are tested in order to demonstrate the performance of the guidance and control method based on DCHMs for a real AUV. Results show that methods using a convex mapping function between e and Ψm based on our new idea can easily achieve a better convergence of path following, and reduce the error between the actual and desired heading angles. We can also customize a discretionary mapping between e and Ψm to get better path following performance.

Virtual guidance-based finite-time path-following control of underactuated autonomous airship with error constraints and uncertainties

2020 ◽  
pp. 095441002096931
Author(s):  
Yan Wei ◽  
Pingfang Zhou ◽  
Yueying Wang ◽  
Dengping Duan ◽  
Zheng Chen
Keyword(s):  
Finite Time ◽  
Degrees Of Freedom ◽  
Three Dimensional ◽  
Small Neighborhood ◽  
Path Following ◽  
Coordinate Frame ◽  
Control Approach ◽  
Finite Time Stability ◽  
Path Following Control ◽  
Following Error

This paper addresses the finite-time three-dimensional path-following control problem for underactuated autonomous airship with error constraints and uncertainties. First, a five degrees-of-freedom path-following error model in the Serret-Frenet coordinate frame is established. By applying the finite-time stability theory, a virtual guidance-based finite-time adaptive neural backstepping path-following control approach is proposed. Barrier Lyapunov functions (BLFs) are introduced to deal with attitude error constraints. Neural networks (NNs) are presented to compensate for the uncertainties. To prevent the “explosion of complexity” in the design of the backstepping method, a finite-time convergent differentiator (FTCD) is introduced to estimate the time derivatives of virtual control signals. Stability analysis showed that all closed-loop signals are uniformly ultimately bounded, the constrained requirements on the airship attitude errors are never violated, and the path-following errors converge to a small neighborhood of the origin in a finite time. At last, simulation studies are provided to demonstrate the effectiveness of the proposed control approach.

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.

scholarly journals Analytical Study on the Cornering Behavior of an Articulated Tracked Vehicle

Machines ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 38
Author(s):  
Antonio Tota ◽  
Enrico Galvagno ◽  
Mauro Velardocchia
Keyword(s):  
Mathematical Model ◽  
Degrees Of Freedom ◽  
Analytical Study ◽  
Proportional Integral Derivative ◽  
Vehicle Model ◽  
Tracked Vehicle ◽  
Tracked Vehicles ◽  
Side Slope ◽  
Skid Steering ◽  
And Control

Articulated tracked vehicles have been traditionally studied and appreciated for the extreme maneuverability and mobility flexibility in terms of grade and side slope capabilities. The articulation joint represents an attractive and advantageous solution, if compared to the traditional skid steering operation, by avoiding any trust adjustment between the outside and inside tracks. This paper focuses on the analysis and control of an articulated tracked vehicle characterized by two units connected through a mechanical multiaxial joint that is hydraulically actuated to allow the articulated steering operation. A realistic eight degrees of freedom mathematical model is introduced to include the main nonlinearities involved in the articulated steering behavior. A linearized vehicle model is further proposed to analytically characterize the cornering steady-state and transient behaviors for small lateral accelerations. Finally, a hitch angle controller is designed by proposing a torque-based and a speed-based Proportional Integral Derivative (PID) logics. The controller is also verified by simulating maneuvers typically adopted for handling analysis.

scholarly journals AUXILIARY FUNCTION GRADIENT APPROACH TO MARINE VEHICLE PATH-FOLLOWING CONTROL

2020 ◽  
pp. 27-36
Author(s):  
Alexander A. Dyda ◽  
Ksenya N. Chumakova ◽  
Igor I. Pushkarev
Keyword(s):  
Main Idea ◽  
Path Following ◽  
Auxiliary Function ◽  
Smooth Functions ◽  
Auxiliary Functions ◽  
Path Following Control ◽  
Vehicle Path ◽  
The Given ◽  
Gradient Approach ◽  
Marine Vehicle

This paper develops an approach to solving the problem of controlling the movement of a ship along a route. It is assumed that the route is specified using waypoints connected by line segments. The main idea of ​​the developed approach is to construct a set of auxiliary smooth functions having an extremum (maximum) on the corresponding sections of the route. The gradient vectors of the selected auxiliary functions are directed towards the corresponding section of the vessel's route. The sum of the vectors of the gradient of the auxiliary functions and the vector that specifies the direction on the selected section of the route determines the desired course of the vessel movement. It is shown that the chosen constructing algorithm for the desired vessel course ensures its output to the given trajectory.

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