This article considers an artificial intelligence system focused on the flight of a cruise missile. A fuzzy logic system belongs to the field of modern artificial intelligence. The cruise missile is ...widely used in the defense and military sphere. A cruise missile flies close to the ground and maneuvers very quickly during its flight. It is very difficult to direct a cruise missile to the object accurately and reach the target.For this reason, the control system is given a fuzzy logic method based on artificial intelligence. A cruise missile control system requires many parameters and complex mathematical models if it is controlled by a regular system. It requires a large resource and a lot of time to calculate the control system. A cruise missile is very effective when controlled by fuzzy logic, takes little time, maneuvers very quickly during the flight, and quickly makes decisions of any complexity.The article presents a virtual software simulator for creating a model of a cruise missile. This simulator is written in C++ programming language with the complex Matlab editor R2015b. The types, models, goals of use of cruise missiles preceding the virtual test are selected in the simulator. In the simulator the flight parameters of the selected cruise missile (flight speed v, range l, flight altitude h and angles of attack G0, directions of maneuver and external forces) are entered. In the simulator the trajectory of the missile flight is tested according to the task algorithm. The virtual test involves accurately targeting the cruise missile and reducing and eliminating deviations and errors while accurately reaching the target. The virtual software simulator tests any cruise and jet missile, ground-based objects of flight.This virtual software simulator is intended for use by space industry specialists, students at institutions of higher education, specialists trained in the army for practical testing of ground-based objects of flight.
Although real-time digital simulator (RTDS) has included most common components in its component model library, some models have to be built by the user with so called Used-Define Component (UDC) ...technique to meet particular simulation requirements. This paper first expatiate on the numerical discrete principle on which the consecutive differential equations (math model) of basic component could be transformed to discrete difference equations (numerical calculation model) so that the model's characteristic and behaviors can be represented via program codes. Next the paper introduces the configuration of an UDC component model that the model is defined by two files respectively with postfix dft and udc. In succession, the paper describes detailed process of building an UDC component model with a double damped filter as example. Finally, a validation test for UDC model accuracy is taken by a RTDS simulation case and the test gives a high degree of accredited result.
The U.S. Department of Education utilizes a standard classification system for all post-secondary degree programs. This system, the Classification of Instructional Programs (CIP), is utilized in a ...multitude of ways to gather and report academic program data. These data can include degree completions, career prospects for graduates, and instructional salaries. Understanding what a program’s CIP code is and how to obtain program data based on CIP code can help HRD faculty build and maintain quality academic programs as well as conduct research related to HRD education. In this article, I provide some background on CIP codes and several use cases that might be helpful for faculty and program leaders.
The clearance between the die and punch for the trimming operation set could lead to one major defect that is burr formation on the sheet metal component. Hence, controlling this parameter is a ...necessity for getting a product without defects. Different studies have reported the burr height phenomenon by varying the sheet material and die clearances. From the previous analysis die clearances below 15% suffers formation of burr therefore is a challenging task to control burr formation. In the present study, an effort has been made to reduce the burr formation factor to control/eliminate burr formation while dealing with sheet metal operation for the Front Door Outer (FDO) panel of the vehicle. Four different clearances between the punch and die, that is 12%, 11%, 10%, and 9% are considered for the study. The results of the study suggests that 12% clearance the burr height was within the range of 0.737–0.663 mm. Similarly for 11%, 10% and 9% die clearance, the burr heights are 0.734–0.618 mm, 0.729–0.655 mm and 0.717–0.655 mm respectively. The burr height of 9% clearance die is very close to the acceptable higher range of 0.715 mm, while it maintains to remain within the lower acceptable range of 0.65 mm. The study suggests that trimming with 9% clearance provides better accuracy with a minimum burr within the acceptable range of 0.65–0.715 mm. Further a statistical process control for the process has been done which supports the optimized results.
In this paper, it's established in 2D the distribution of the flux lines in joints of transformer core taking account of the industrial irregularity assembly. One use the model of an equivalent ...variable air-gap deduced from no-load measurement like magnetizing currents and flux curves. A new contribution to resolve the problem of the implantation of a variable air-gap length in programs based on finite element method FEM is highlighted. The new air-gap form is considered in an overall model of a three-phase transformer core. The new method resides in the change of the equivalent variable air-gap length (variable length according to flux level) to fixed one with the same magnetic drop. By taking this advantage on modeling in existing programs codes based on FEM, the real magnetizing currents are reproduced from the magnetic field distribution. Our approach is validated by comparison to experience results giving no-load current measurements for various saturations levels of a transformer 10kVA.
