Implement three-dimensional pursuit guidance law with feedback linearization control method

Kung, Chien-Chun; Chiang, Feng-Lung; Wu, Chi-Yu

doi:10.1109/3ca.2010.5533595

Cited by 5 publications

(6 citation statements)

References 4 publications

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“…After parallel calculations, when UAVs are locked by the radar, missiles are launched, and the missile guidance law is calculated by a CPU. For related missile guidance papers, please refer to [43].…”

Section: Using Matlab/cuda To Accelerate the Best Solutionmentioning

confidence: 99%

Study on Consulting Air Combat Simulation of Cluster UAV Based on Mixed Parallel Computing Framework of Graphics Processing Unit

Kung¹

2018

Electronics

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This paper combines matrix game theory with negotiating theory and uses U-solution to study the framework of the consulting air combat of UAV cluster. The processes to determine the optimal strategy in this paper follow three points: first, the UAV cluster are grouped into fleets; second, the best paring for the joint operations of the fleet member with the enemy fleet members are calculated; thirdly, consultations within the fleet are conducted to discuss the problems of optimal tactic, roles of main/assistance, and situational assessment within the fleet. In order to improve the computing efficiency of the framework, this article explores the use of the NVIDIA graphics processor programmed through MATLAB mixed C++/CUDA toolkit to accelerate the calculations of equations of motion of unmanned aerial vehicles, the prediction of superiority values and U values, computations of consultation, the evaluation of situational assessment and the optimal strategies. The effectiveness evaluation of GPGPU and CPU can be observed by the simulation results. When the number of team air combat is small, the CPU alone has better efficiency; however, when the number of air combat clusters exceeds 6 to 6, the architecture presented in this article can provide higher performance improvements and run faster than optimized CPU-only code.

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Section: Using Matlab/cuda To Accelerate the Best Solutionmentioning

confidence: 99%

Study on Consulting Air Combat Simulation of Cluster UAV Based on Mixed Parallel Computing Framework of Graphics Processing Unit

Kung¹

2018

Electronics

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“…It can be considered that the missile flight path angle m  and azimuth angle m  has to track angle  and angle q exactly. The problem can be solved by feedback from the linearization control method [27,30]. Should we wish the azimuth angle m  to track angle q , the equation of the control system is as follows:…”

Section: 1mentioning

confidence: 99%

“…However, it does not possess an optimal mode. Performance of a missile that is based on varied guidance laws is discussed in [26,27]. However, how to determine a robust navigation constant of a guidance law by use of an effective and systematic approach to improve missile performance has been somewhat neglected in the study area.…”

Section: Introductionmentioning

confidence: 99%

Application of the Taguchi Quality Method to Design Navigation Constants That Are Robust to Target Maneuvers

Kung¹,

Chiang

Yang³

2013

Transactions of the Canadian Society for Mechanical Engineering

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The object of this paper is to present a quality control approach to design the navigation constants for missile guidance law that are robust for target’s maneuverability and missile’s performance. Target’s maneuvers and missile's time constants are considered to be noise factors and Taguchi Quality Method (TQM) is used to conduct matrix experiments and determine the robust navigation constants. From the simulation results for three kinds of guidance laws, we find that robust navigation constants have a greater ability to enhance the interception of targets that are performing uncertain maneuvers with less interception time and smaller miss distances in the hitting phase.

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“…Some of the variants of PNG method have also proven to be quite successful. In particular, true PNG, ideal PNG, augmented ideal PNG, and optimal PNG [13][14][15][16][17] are some of the notable methods. In [18], augmented ideal PNG method is shown to be the best performer among all the PNG-based methods.…”

Section: Introductionmentioning

confidence: 99%

Anticipated Velocity Based Guidance Strategy for Wheeled Mobile Evaders Amidst Moving Obstacles in Bounded Environment

Kumar

Ojha

2014

ICT and Critical Infrastructure: Proceedings of the 48th Annual Convention of Computer Society of India- Vol I

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This paper is concerned with a class of pursuit-evasion game problems amidst stationary and moving obstacles in a bounded environment. We concentrate on evader's strategy taking into account the following challenges: (i) pursuer and evader are nonholonomic wheeled mobile robots and the evader is slower than the pursuer; (ii) pursuer follows a proportional navigation law; and (iii) geometry of the environment is not known to the players, a priori. We propose an efficient evader-centric anticipated velocity based guidance strategy. Pursuer's trajectory is anticipated at each step by the evader using quadratic polynomial interpolation. The aim of the evader is to escape interception with the pursuer for maximum possible time. To deal with static obstacles, a technique based on a well-known tangent bug algorithm is presented. While dealing with dynamic obstacles, a recently introduced reciprocal orientation method is employed to avoid collision in situations when the dynamic obstacle also cooperates in the process. In case dynamic obstacles do not participate in the process of collision avoidance, a well-known velocity obstacle method is employed for planning safe collision-free paths. Efficiency of the proposed algorithms is analyzed with respect to the interception time and the distance traveled by the players.

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Implement three-dimensional pursuit guidance law with feedback linearization control method

Cited by 5 publications

References 4 publications

Study on Consulting Air Combat Simulation of Cluster UAV Based on Mixed Parallel Computing Framework of Graphics Processing Unit

Study on Consulting Air Combat Simulation of Cluster UAV Based on Mixed Parallel Computing Framework of Graphics Processing Unit

Application of the Taguchi Quality Method to Design Navigation Constants That Are Robust to Target Maneuvers

Anticipated Velocity Based Guidance Strategy for Wheeled Mobile Evaders Amidst Moving Obstacles in Bounded Environment

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