The Effects of Matched Filter on Stable Performance of Semistrapdown Inertially Stabilized Platform

Feng Liu,Hua Wang

doi:10.1155/2016/8389350

Abstract

To enhance the optimization performance of matched filter and further improve line of sight (LOS) stability of platform in inertial space, the proposed matched filter algorithm is conducted by adjusting matched filter coefficients of first-order low pass filter utilizing the regional search method based on invariance principle. The coefficients of the fraction molecule and denominator of proposed regional search algorithm are altered instead of denominator coefficients only being modified. Simulations are performed to verify the validity of inside factors performed with stabilization control model and quartz rate sensor (QRS) mathematical model. The stable angular error is sharply alleviated, so the decoupling accuracy of airborne semistrapdown inertially stabilized platform is largely promoted. The optimization matched filter can effectively increase stability of LOS in inertial space.

Highlights

Photoelectric sensor is a device of great importance for detecting and tracking targets in semistrapdown stabilized platform [1]
Ξ Gd (s) Gg (s) model of semistrapdown stabilization; Section 3 develops matched filter optimization algorithms; Section 4 proves the efficiency of the proposed matched filter optimization algorithm; and Section 5 summarizes theoretical and practical engineering significance of the study
1 1 first step in Figure 8(a); the result of simulation experiments is consistent with the result of Algorithm 1, and the time of [0.001, 0.004] and [0, 0.003] when arriving at the steady state is shorter than others

Summary

Introduction

Photoelectric sensor is a device of great importance for detecting and tracking targets in semistrapdown stabilized platform [1]. While the angular velocity is directly fed back to actuator and makes LOS reversely deflect so as to achieve stabilization, the attitude information is fed back to the closed loop according to space coordinate transformation when the information is measured by inertia devices of flying bodies, which make frames reduce vibration by flying bodies disturbance. The matching of rate gyro and dynamics were researched utilizing constraining nonlinear minimization optimization method in [7]. A newly continuously differentiable friction model and filtered regression estimation parameter were introduced; the stability of the proposed methods was proved in [8]. Model of semistrapdown stabilization; Section 3 develops matched filter optimization algorithms; Section 4 proves the efficiency of the proposed matched filter optimization algorithm; and Section 5 summarizes theoretical and practical engineering significance of the study

Semistrapdown Stabilization Control Model

The Optimization of Matched Filter Algorithm

Simulation Experiment Validations

Stable Error before Matched Filter and after Matched Filter

Conclusions