Time-Optimal Aircraft Pursuit-Evasion with A Weapon Envelope Constraint

Menon, P. K.; Duke, Eugene L.

doi:10.23919/acc.1990.4791146

Cited by 6 publications

(2 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The values of first order differential of V , γ and Ψ are denoted as V & , γ& and ψ& respectively, as shown in (4), (5) and (6), where x n , z n and φ are three control variables of CGF.…”

Section: Intelligent Automatic Manoeuvring Mechanism For Computer Genmentioning

confidence: 99%

Intelligent automatic manoeuvring mechanism for computer generated forces using predictive multi-step fuzzy inference system

Tsai

Sun

Ting

2007

2007 IEEE International Conference on Systems, Man and Cybernetics

View full text Add to dashboard Cite

The purpose of this paper is to develop an intelligent automatic maneuvering mechanism for computer generated forces (CGF). The proposed CGF can take actions similar to a human pilot to gain an advantageous status over the enemy target using the intelligent automatic maneuvering mechanism. The mechanism will produce the best multi-step tactics combination (MSTC) for the CGF in an air combat environment. The MSTC is composed of CGF's decision space. In this paper, based on our previous work, we propose a predictive multi-step fuzzy inference system (PMSFIS) as the automatic maneuvering mechanism for CGF, which incorporates and mimics human thinking capability and the maximum capacity of CGF. Before PMSFIS executes the fuzzy inference system (FIS) process, it will generate a list of MSTC, and allows CGF to predict its future posture corresponding to the list of MSTC. This paper assumes that CGF can accurately predict an enemy target's future position, then PMSFIS applies the predicted data to generate the best MSTC. We verify the proposed algorithm with a set of fighter flying data that is used as the enemy target's flying trajectory. The simulation of the proposed algorithm shows that PMSFIS will enable CGF to obtain the best status in an air combat environment and improve the performance of our previous work.

show abstract

Section: Intelligent Automatic Manoeuvring Mechanism For Computer Genmentioning

confidence: 99%

Intelligent automatic manoeuvring mechanism for computer generated forces using predictive multi-step fuzzy inference system

Tsai

Sun

Ting

2007

2007 IEEE International Conference on Systems, Man and Cybernetics

View full text Add to dashboard Cite

show abstract

“…The theory provides optimal strategies for both pursuer and evader in air combat scenarios. The references [4,5,6] used differential game to obtain best maneuvers for pursuer and evader in special occasions of air combat.…”

mentioning

confidence: 99%

Fuzzy Modeling of Offensive Maneuvers in an Air-to-Air Combat

Akabari

Menhaj

Nikravesh

Advances in Soft Computing

View full text Add to dashboard Cite

The figure of air combat in the future depends heavily on automatic systems that will be integrated into the fighter's cockpit. The complexity and sophistication of flight automation is the result of these automatic systems. While in early days of air combat, pilots had to gather all necessary information and data through their senses, nowadays a large number of electronic and computer systems help the pilots in data acquisition and processing, and the trend is toward more automation of air combats. Abstract. In this contribution we propose a new guidance law based on fuzzy logic that can be successfully applied to modeling and generating complicated offensive maneuver in an air combat between two aircraft. Based on human expert's decisionmaking process, an intelligent based method is proposed to model the maneuvering. Fuzzy "if . . . then. . ." rules are used to represent the pursuer preferences in guiding his/her system. The rules are directly obtained from expert's knowledge. Each rule relates the desired moving directions of the pursuer to the task parameters. The control parameters of the aircraft are computed through a mean square error scheme. A large amount of simulations are used to approve the satisfactory performance of the model. The results show human like maneuvers can be generated by the proposed model. Fuzzy Modeling of Offensive Maneuvers in an

show abstract

A differential game in three dimensions: The aerial dogfight scenario

Greenwood

1992

Dynamics and Control

View full text Add to dashboard Cite

Time-Optimal Aircraft Pursuit-Evasion with A Weapon Envelope Constraint

Cited by 6 publications

References 16 publications

Intelligent automatic manoeuvring mechanism for computer generated forces using predictive multi-step fuzzy inference system

Intelligent automatic manoeuvring mechanism for computer generated forces using predictive multi-step fuzzy inference system

Fuzzy Modeling of Offensive Maneuvers in an Air-to-Air Combat

A differential game in three dimensions: The aerial dogfight scenario

Contact Info

Product

Resources

About