MODULE DESCRIPTION Module code Module name Module name in English Valid from academic year 2013/2014 MODULE PLACEMENT IN THE SYLLABUS Badania symulacyjne broni i amunicji Simulation Tests of Weapons and Ammunition Subject Level of education Studies profile Form and method of conducting classes Specialisation Unit conducting the module Module co-ordinator Mechanics and Machine Design 1 st degree (1st degree / 2nd degree) General (general / practical) Full-time (full-time / part-time) Armament Engineering and Information Technologies The Department of Applied Computer Science and Armament Engineering Prof. Zbigniew Koruba, PhD hab., Eng. Approved by: MODULE OVERVIEW Type of subject/group of subjects Module status Language of conducting classes Module placement in the syllabus - semester Subject realisation in the academic year Initial requirements Examination Number of ECTS credit points 4 Method of conducting classes Major (basic / major / specialist subject / conjoint / other HES) Compulsory (compulsory / non-compulsory) English 6 th semester Summer semester (winter / summer) General Mechanics, the Fundamentals of Automatic Control, Computer Science (module codes / module names) No (yes / no) Lecture Classes Laboratory Project Other Per semester 30 15
TEACHING RESULTS AND THE METHODS OF ASSESSING TEACHING RESULTS Module target The subject matter of the module covers issues connected with the methods of mathematical modelling and computer simulations concerning the process of navigation and self-guidance of a flying object on a target. The aim of the module is to familiarise students with general principles of designing and simulation tests concerning the dynamics of the selected types of weapons of precision-guided weapons, i.e. self-guided anti-aircraft and armour-piercing rocket missiles, guided bombs, and war unmanned aerial vehicles. Effect symbol Teaching results Teaching methods (l/c//other) Reference to subject effects Reference to effects of a field of study A student has fundamental knowledge on the methods of simulation tests concerning the dynamics of controlled mechanical systems with the use of the states space and frequency characteristics. A student has basic knowledge on controlling the selected types of weapon of precise destruction. A student has basic knowledge on numerical methods of testing guiding weapon of precise destruction. A student has basic knowledge on the methods of determining and identifying aerodynamic characteristics of aerial vehicles. A student has basic knowledge on the stability, controllability, and observability of flying objects. A student has basic knowledge on testing and analysing the structure of autopilot concerning flying objects. A student has basic knowledge on control methods concerning optimal control of flying objects. A student has basic knowledge on numerical analysis of trajectories of self-guided anti-aircraft and armour-piercing rocket missiles, guided bombs, war unmanned aerial vehicles. K_W03 K_W17 K_W16 K_W17 K_W04 K_W04 T1A_W02 T1A_W02 U_01 A student can numerically analyse the process of guiding a flying object on a target. K_U09 KS_U03_UiTI T1A_U08 T1A_U09 T1A_U15 InzA_U01 InzA_U02
InzA_U07 U_02 K_01 A student can determine and identify basic aerodynamic characteristics of a flying object. A student understands the necessity of continuous education and raising his/her professional competences in terms of designing and simulation tests concerning precision-guided weapon. K_U04 KS_U03_UiTI K_K01 T1A_U03 T1A_U04 T1A_U08 T1A_U09 T1A_U15 InzA_U01 InzA_U02 InzA_U07 T1A_K01 K_02 A student is aware of the importance and understands the aspects, together with the effects, of activity effects concerning armament technologies. K_K03 T1A_K03 Teaching contents: Teaching contents as regards lectures Lecture number 1 2 3 4 5 6 7 Introduction Teaching contents The essence and aims of computer simulation concerning the weapon of precise destruction. Programming elements in Matlab-Simulink Familiarising students with the environment and fundamental functions of Matlab. Aerodynamic characteristics of flying objects The description, the methods of determining and computer tests of aerodynamic characteristics. The identification of flying object parameters The description, definition, and methods of computer identification of flying object parameters. Testing guided flying objects Checking the observability and controllability with analytical as well as numerical methods concerning guided flying objects. The elements of testing the structures of flying object autopilots The description, definitions, and testing autopilots (drawing particular attention to their elements, i.e. P, PD, and PID controllers). The stability of controllable flying objects Familiarising students with basic stability criteria. The methods of testing the Reference to teaching results for a module
stability of controllable flying objects. Test 1 8 9 10 11 12 13 Frequency characteristics of flying objects The types of characteristics frequency, phase-amplitudinal, Bode the methods of their operation. Optimal control of flying objects The methods of optimal control, LQR controllers. Minimum-time control Time-minimal control systems Bellman s rule and Pontryagin s maximum. The methods of guiding flying objects The methods of guiding the selected flying object (self-guided rocket missile) onto a moving target. Trajectory simulation of an unmanned aerial vehicle (UAV) Computer simulation in the Matlab-Simulink environment of completing the assigned mission by an UAV. Trajectory simulation of a rocket missile Computer simulation in Matlab-Simulink concerning the self-guidance process of an anti-aircraft rocket missile onto an aerial target. 14 Trajectory simulation of a guided bomb Computer simulation in Matlab-Simulink concerning the self-guidance process of a guided bomb onto a still and moving surface target 15 Test 2 U_01 U_02 The characteristics of project assignments Project number Teaching contents Reference to teaching results for a module 1 Dynamics analysis concerning a hypothetical flying object in a frequency domain with the use of Matlab-Simulink. 2 Dynamics analysis concerning a hypothetical flying object in a states space with the use of Matlab-Simulink. 3 4 Designing flight trajectories of an anti-aircraft rocket missile (air-to-ground and air-to-air missile) remotely guided with first- and second-type commands with the use of Matlab-Simulink. Designing flight trajectories of an anti-aircraft rocket missile (air-to-ground and air-to-air missile) remotely guided with parallel approach methods with the use of Matlab-Simulink.
5 Designing the dynamics of an anti-aircraft self-guided rocket missile onto a manoeuvring aerial target with the use of Matlab-Simulink. 6 Designing flight trajectories of an anti-aircraft self-guided rocket missile with the use of Matlab-Simulink. 7 Designing flight trajectories of a SACLOS self-guided armour-piercing rocket missile onto a still and moving ground target with the use of Matlab-Simulink. The methods of assessing teaching results Effect symbol U_01 U_02 K_01 K_02 Methods of assessing teaching results (assessment method, including skills reference to a particular project, laboratory assignments, etc.) Test 1 and 2 on the lectures Test 1 and 2 on the lectures Observing a student s involvements during the classes Observing a student s involvements during the classes STUDENT S INPUT ECTS credit points Type of student s activity Student s workload 1 Participation in lectures 30 2 Participation in classes 3 Participation in laboratories 4 Participation in tutorials (2-3 times per semester) 3 5 Participation in project classes 15 6 Project tutorials 5 7 Participation in an examination
8 Participation in a final test on laboratory classes 9 Number of hours requiring a lecturer s assistance 53 (sum) 10 Number of ECTS credit points which are allocated for assisted work (1 ECTS credit point=25-30 hours) 2 11 Unassisted study of lecture subjects 20 12 Unassisted preparation for classes 13 Unassisted preparation for tests 5 14 Unassisted preparation for laboratories 15 Preparing reports 16 Preparing for a final laboratory test 17 Preparing a project or documentation 25 18 Preparing for an examination 19 Preparing questionnaires 20 Number of hours of a student s unassisted work 45 (sum) 21 Number of ECTS credit points which a student receives for unassisted work (1 ECTS credit point=25-30 hours) 22 Total number of hours of a student s work 103 23 ECTS credit points per module 1 ECTS credit point=25-30 hours 4 24 Work input connected with practical classes Total number of hours connected with practical classes 40 25 Number of ECTS credit points which a student receives for practical classes (1 ECTS credit point=25-30 hours) 2 1.5