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Research On Key Technologies For High Accuracy Infrared Tracking System On Water Platform

Posted on:2016-08-29Degree:DoctorType:Dissertation
Country:ChinaCandidate:Y Y WuFull Text:PDF
GTID:1108330479982333Subject:Physical Electronics
Abstract/Summary:PDF Full Text Request
Infrared tracking system has good concealing character, can work all time, and detect moving targets in low altitude and above water. Thus it forms a good complementary relationship with radar system. Ship-based infrared tracking system places higher demand to the servo control system because of the specific character of its motion platform: ship-swaying disturbance should be eliminated during periods of searching, capturing and tracking to enhance the tracking stability of the system. Besides, as the flight speed and the maneuverability have been continuously enhanced, a more efficiently servo control algorithm needs to be studied, to enhance the tracking precision and the dynamic response capability. This paper does research work on related key technologies based on the need of engineering application, and developed one experimental prototype.This paper first introduces the function and main technology demand of the infrared tracking system. And then it describes the key components of the system, together with the overall design idea. Then the motion law of the ship carrier has been analyzed. Three freedom visual axis disturbance’s model has been established by complex space-shifting, which transfers the three freedom motion gesture of the ship to the two dimension disturbance value of the visual axis of the infrared tracking equipment.The data of the ship-swaying gesture measured by inertial navigator system is the foundation of the visual axis stabilization technology. The accuracy of the measuring data has directly determination on the level of the ship-swaying isolation. This paper produces an algorithm that combines particle filter algorithm with Kalman filter algorithm, and proceeds predictive filtering on the inertial navigator data. Thus gesture measuring accuracy can be enhanced. It effectively complements the non-convergence shortage of the Kalman filter on the nonlinear system.According to the overall design demands, a servo control algorithm that combined the acceleration delay compensation with the fuzzy self-adaptive PI control is proposed. It can effectively enhance the system tracking precision and dynamic response capability, and reduce the overshoot value at the same time. Meanwhile, according to the tracking failure problem which is caused by the high maneuverability of the target at the time when digital-guide-track transfers to TV-guide-track, a method has been proposed to improve the system tracking stabilization based on the tracking strategy.At last, this paper proceeds the electronics system design of the servo-control system, and finishes the development of the experimental prototype. Simulation analysis and testing result shows that, based on the elimination of the platform motion disturbance, target tracking with high accuracy and fast response capability has been realized, which can meet the need of the engineering application.
Keywords/Search Tags:servo control, Kalman filter, acceleration delay compensation, fuzzy self-adaptive PI control algorithm, TV track
PDF Full Text Request
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