A NEW METHOD OF FUZZY PN SYSTEM TO MODEL OF AIRCRAFT FLIGHTS THROUGH DIFFERENT TERRAIN

摘要

A novel approach of fuzzy Petri net (FPN) is presented to aircraft terrain following (TF) through aircraft flights. The FPN controller system as presented in this paper determine where the aircraft needs to modification its altitude. Depending on the concepts of real-time system applications the decision-maker (i.e. Terrain-Following Radar (TFR)) will be promising notwithstanding for hard terrains in expression of shape and features. The implementation process for terrain following collaborative design is fuzzily dedicated by the algorithm of FPN. The FPN approach employs special connections among existing Slope, Height, and Spacing of the terrain with aircraft flights velocity overhead the ground to construct appropriate FPN rules. Settling on knowledge implies a basic decision making over passing across or over a terrain. Slope angle of terrain (Sl1 and Sl2), spacing is the ratio of the largest and smallest peak-to-peak terrain (Sp1 and Sp2) and height of vehicle (He1 and He2), and the main system is the velocity (Sl, He and Sp) is output all the inputs and outputs are linguistic variables. The case study of aircraft flights show the effectiveness of the FPN approach as compared to other existing approaches. Based on the FPN approach the results illustrate a perfect chasing while using four models with a number of fuzzy rules equal to 200 rules will causes an optimal results. While a suitable height of an aircraft flights above the ground is substantial this given us good motivation to develop a new approach in maintaining the height of aircraft. Finally, the presented method is applied with low-level flight to be authenticity be applied for such applications.