In this study, a parametric model for a main battle tank electric gun turret drive system
stabilization controller has been developed. Main scope was the study of the muzzle deviation
due to barrel flexibility. Traverse and elevation dynamics has been modeled to include the
drive-line and barrel flexibilities. Order of the models has been kept large enough to cover the
frequencies dominant in the interest scope but at the same time low enough to create a
parametric model which can be used in real-time fire control computers. Therefore a 5-dof
elevation and a 7-dof traverse models have been implemented. These models have been used
to design a classical feedback and feedforward controllers which performed good enough to
meet 0.5mrad stabilization accuracies.
After satisfactory results have been obtained from the stabilization controller, a special
coincidence algorithm has been implemented by time-series analysis of the disturbance signal
which is constantly being measured by the feedforward gyro. Necessity of predicting the
future muzzle angular orientation due to the latency in fire is discussed and by using
autoregressive modeling of the disturbance signal, future values of the disturbance signal has
been entered into the observer model. The prediction horizon has been set to the time delay
value between the trigger is pulled by the gunner and the ammunition exit from the muzzle.
By checking the future coincidence within a very narrow windowing (0.05mrad) a 100% first
round hit probability in theory has been achieved. This is assured since the coincidence
inhibited the fire signals which were to miss the aiming point with a large error.
Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/12613767/index.pdf |
Date | 01 September 2011 |
Creators | Karayumak, Turker |
Contributors | Karayumak, Turker |
Publisher | METU |
Source Sets | Middle East Technical Univ. |
Language | English |
Detected Language | English |
Type | Ph.D. Thesis |
Format | text/pdf |
Rights | To liberate the content for public access |
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