scholarly journals Online Cooperative Trajectory Planning for UCAV Formation in Uncertain Environment

2018 ◽  
Vol 36 (6) ◽  
pp. 1145-1155
Author(s):  
Yuan Wang ◽  
Zhenglei Wei ◽  
Changqiang Huang ◽  
Hanqiao Huang ◽  
Kexin Zhao ◽  
...  
Keyword(s):  
Trajectory Planning ◽  
Pseudospectral Method ◽  
Planning Method ◽  
Local Planning ◽  
State Information ◽  
Uncertain Environment ◽  
Precise Control ◽  
Online Planning ◽  
Task Time ◽  
Simulation Results

This paper presents a local online planning method based on hp adaptive pseudospectral method to address the cooperative trajectory planning of UCAV formation in uncertain environment. First, through analyzing attacking process of UCAV formation, the cooperative trajectory planning model is built up by taking UCAV threat, task time and the number of collision and the error of ordered time as the object function. Second, in order to solve the online cooperative trajectory planning, according to real-time environment information and offline planning data, the local planning method based on hp adaptive pseudospectral method is proposed during optimizing time slice. Last but not least, the simulation results for offline and online cooperative trajectory show that the proposed method is valid and can provide cooperative trajectory with high precise control and state information.

scholarly journals Trajectory optimization of UAV based on Hp-adaptive Radau pseudospectral method

2021 ◽  
Vol 0 (0) ◽  
pp. 0
Author(s):  
Yi Cui ◽  
Xintong Fang ◽  
Gaoqi Liu ◽  
Bin Li
Keyword(s):  
Trajectory Planning ◽  
Trajectory Optimization ◽  
Optimization Problem ◽  
Tracking Error ◽  
Pseudospectral Method ◽  
Planning Problem ◽  
A Algorithm ◽  
Planning Scheme ◽  
Path Search ◽  
Simulation Results

<p style='text-indent:20px;'>Unmanned Aerial Vehicles (UAVs) have been extensively studied to complete the missions in recent years. The UAV trajectory planning is an important area. Different from the commonly used methods based on path search, which are difficult to consider the UAV state and dynamics constraints, so that the planned trajectory cannot be tracked completely. The UAV trajectory planning problem is considered as an optimization problem for research, considering the dynamics constraints of the UAV and the terrain obstacle constraints during flight. An hp-adaptive Radau pseudospectral method based UAV trajectory planning scheme is proposed by taking the UAV dynamics into account. Numerical experiments are carried out to show the effectiveness and superior of the proposed method. Simulation results show that the proposed method outperform the well-known RRT* and A* algorithm in terms of tracking error.</p>

Optimal attitude trajectory planning method for CMG actuated spacecraft

2017 ◽  
Vol 232 (1) ◽  
pp. 131-142 ◽  
Author(s):  
Lijun Zhang ◽  
Chunmei Yu ◽  
Shifeng Zhang ◽  
Hong Cai
Keyword(s):  
Trajectory Planning ◽  
Closed Loop ◽  
Pseudospectral Method ◽  
Linear Quadratic Regulator ◽  
Fixed Time ◽  
Open Loop ◽  
Planning Method ◽  
Global Perspective ◽  
Linear Quadratic ◽  
Loop Control

This paper presents an optimal attitude trajectory planning method for the spacecraft equipped with control moment gyros as the actuators. Both the fixed-time energy-optimal and synthesis performance optimal cases are taken into account. The corresponding nonsingular attitude maneuvering trajectories (i.e. open-loop control trajectories) with the consideration of a series of constraints are generated via Radau pseudospectral method. Compared with the traditional steering laws, the optimal steering law designed by this method can explicitly avoid the singularity from the global perspective. A linear quadratic regulator closed-loop controller is designed to guarantee the trajectory tracking performance in the presence of initial errors, inertia uncertainties and external disturbances. Simulation results verify the validity and feasibility of the proposed open-loop and closed-loop control methods.

Analysis of Aircraft Path Planning Optimal on Carrier Flight Deck

2013 ◽  
Vol 664 ◽  
pp. 1122-1127 ◽  
Author(s):  
Yao Yu Li ◽  
Yi Fan Zhu ◽  
Qun Li
Keyword(s):  
Optimal Control ◽  
Path Planning ◽  
Dynamic Model ◽  
Pseudospectral Method ◽  
Constraint Equation ◽  
Planning Method ◽  
Space Environment ◽  
Polar Coordinates ◽  
Simulation Results ◽  
Flight Deck

Since the limited space and complicated environment, we can't solve this problem by traditional path planning method which taking the aircraft as a particle. Aim at this problem, we introduce the pseudospectral method from the field of optimal control, and indicate the feasibility and advantage based on theory discussion. To simulate the actual path planning on flight deck, we build a carrier deck space environment, establish the collision detecting mechanism based on polar coordinates transforming. Finally an aircraft dynamic model and a simplified obstacle model are designed, thus the path planning constraint equation is given. The veracity and convergence of this method is verified by experiment simulation results.

scholarly journals Online trajectory planning for UCAV performing ground attacks based on threat modeling

2021 ◽  
Vol 39 (2) ◽  
pp. 382-391
Author(s):  
Jiayu Tang ◽  
Xiangmin Li ◽  
Jinjin Dai
Keyword(s):  
Trajectory Planning ◽  
Aerodynamic Characteristics ◽  
Planning Method ◽  
Planning Problem ◽  
Threat Modeling ◽  
Performance Constraints ◽  
Engine Thrust ◽  
Online Planning ◽  
Aerial Vehicle ◽  
Kinematic Models

The paper studies how to plan the trajectories of an unmanned combat aerial vehicle (UCAV) that releases its airborne weapons and presents an online trajectory planning method based on threat modeling. Firstly, it analyzes the aerodynamic characteristics, engine thrust and fuel characteristics of the UCAV and builds its dynamic and kinematic models. Secondly, the trajectory planning model of the UCAV is formulated with flight performance constraints and battlefield threat constraints considered. To improve the accuracy of ground attacks, the envelope of a guided bomb's acceptable region of weapon release is studied, and the release center and posture of the guided bomb work as terminal planning conditions. Thirdly, an online trajectory planning method is proposed. With the help of threat modeling, the complicated trajectory planning problem is transformed into a simplified situation classification. Finally, the simulation results demonstrate that the online planning method proposed in the paper can provide feasible trajectories for a UCAV to succeed in releasing its airborne weapons.

scholarly journals A Trajectory Planning Method for Autonomous Valet Parking via Solving an Optimal Control Problem

Sensors ◽  
2020 ◽  
Vol 20 (22) ◽  
pp. 6435
Author(s):  
Chen Chen ◽  
Bing Wu ◽  
Liang Xuan ◽  
Jian Chen ◽  
Tianxiang Wang ◽  
...  
Keyword(s):  
Optimal Control ◽  
Optimal Control Problem ◽  
Control Problem ◽  
Trajectory Planning ◽  
Pseudospectral Method ◽  
Initial Guess ◽  
Planning Method ◽  
Planning Problem ◽  
Starting Position ◽  
Dynamic Obstacle Avoidance

In the last decade, research studies on parking planning mainly focused on path planning rather than trajectory planning. The results of trajectory planning are more instructive for a practical parking process. Therefore, this paper proposes a trajectory planning method in which the optimal autonomous valet parking (AVP) trajectory is obtained by solving an optimal control problem. Additionally, a vehicle kinematics model is established with the consideration of dynamic obstacle avoidance and terminal constraints. Then the parking trajectory planning problem is modeled as an optimal control problem, while the parking time and driving distance are set as the cost function. The homotopic method is used for the expansion of obstacle boundaries, and the Gauss pseudospectral method (GPM) is utilized to discretize this optimal control problem into a nonlinear programming (NLP) problem. In order to solve this NLP problem, sequential quadratic programming is applied. Considering that the GPM is insensitive to the initial guess, an online calculation method of vertical parking trajectory is proposed. In this approach, the offline vertical parking trajectory, which is calculated and stored in advance, is taken as the initial guess of the online calculation. The selection of an appropriate initial guess is based on the actual starting position of parking. A small parking lot is selected as the verification scenario of the AVP. In the validation of the algorithm, the parking trajectory planning is divided into two phases, which are simulated and analyzed. Simulation results show that the proposed algorithm is efficient in solving a parking trajectory planning problem. The online calculation time of the vertical parking trajectory is less than 2 s, which meets the real-time requirement.

Trajectory Planning for the Moving Boundary in Three Dimensional DEM Simulations

2013 ◽  
Vol 325-326 ◽  
pp. 192-195
Author(s):  
G.M. Hu ◽  
L. Hu ◽  
Y. Zhang ◽  
Z.Q. Fang
Keyword(s):  
Trajectory Planning ◽  
Moving Boundary ◽  
Particle System ◽  
Three Dimensional ◽  
Planning Method ◽  
Boundary Object ◽  
Boundary Motion ◽  
Dem Simulations ◽  
Excavator Bucket ◽  
Simulation Results

The boundary objects moving along a prescribed trajectory commonly appear in the applications of DEM to industrial fields. Generally, a boundary motion can be expressed as the combination of translational and rotational motion through specifying the linear and the angular velocity. However, it is unsuitable to describe the trajectory by this way because of the instantaneously changing location and velocity of the boundary during the simulation. A trajectory planning method is presented to model the arbitrarily complex route where the boundary passes through. This method has been used to predict the digging process of an excavator bucket in this paper. The simulation results show that the complex trajectory of a boundary object can be accurately depicted by the trajectory planning method, and the interaction between the moving boundary and the particle system is reasonable.

scholarly journals Trajectory Planning Method for Mixed Vehicles Considering Traffic Stability and Fuel Consumption at the Signalized Intersection

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Shan Fang ◽  
Lan Yang ◽  
Tianqi Wang ◽  
Shoucai Jing
Keyword(s):  
Fuel Consumption ◽  
Trajectory Planning ◽  
Signalized Intersections ◽  
Planning Method ◽  
Signalized Intersection ◽  
Driver Model ◽  
Connected Vehicles ◽  
Connected Vehicle ◽  
Traffic Lights ◽  
Trigonometric Model

Traffic lights force vehicles to stop frequently at signalized intersections, which leads to excessive fuel consumption, higher emissions, and travel delays. To address these issues, this study develops a trajectory planning method for mixed vehicles at signalized intersections. First, we use the intelligent driver car-following model to analyze the string stability of traffic flow upstream of the intersection. Second, we propose a mixed-vehicle trajectory planning method based on a trigonometric model that considers prefixed traffic signals. The proposed method employs the proportional-integral-derivative (PID) model controller to simulate the trajectory when connected vehicles (equipped with internet access) follow the optimal advisory speed. Essentially, only connected vehicle trajectories need to be controlled because normal vehicles simply follow the connected vehicles according to the Intelligent Driver Model (IDM). The IDM model aims to minimize traffic oscillation and ensure that all vehicles pass the signalized intersection without stopping. The results of a MATLAB simulation indicate that the proposed method can reduce fuel consumption and NOx, HC, CO2, and CO concentrations by 17%, 22.8%, 17.8%, 17%, and 16.9% respectively when the connected vehicle market penetration is 50 percent.

Utilizing an Adaptive Controller (Azadi Controller) for Trajectory Planning of PUMA 560 Robot

2011 ◽  
Vol 403-408 ◽  
pp. 4880-4887
Author(s):  
Sassan Azadi
Keyword(s):  
Steady State ◽  
Trajectory Planning ◽  
Positive Feedback ◽  
Fuzzy Controller ◽  
Research Work ◽  
Adaptive Controller ◽  
The Novel ◽  
Transient Responses ◽  
Simulation Results ◽  
Good Substitute

This research work was devoted to present a novel adaptive controller which uses two negative stable feedbacks with a positive unstable positive feedback. The positive feedback causes the plant to do the break, therefore reaching the desired trajectory with tiny overshoots. However, the two other negative feedback gains controls the plant in two other sides of positive feedback, making the system to be stable, and controlling the steady-state, and transient responses. This controller was performed for PUMA-560 trajectory planning, and a comparison was made with a fuzzy controller. The fuzzy controller parameters were obtained according to the PSO technique. The simulation results shows that the novel adaptive controller, having just three parameters, can perform well, and can be a good substitute for many other controllers for complex systems such as robotic path planning.

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