Abstract

In order to ensure the electrical performance of the reflector antenna, the surface accuracy constraint need to be satisfied during the structure design. Different calculating methods can get different accuracy values, then influence the difficulty of antenna structure design. Therefore, the evaluation method for antenna surface accuracy is of vital importance. In this paper, the traditional evaluation procedure is first reviewed. This method has been successfully used in structure design of many large antennas, but based on our analysis, this method is sub-optimal. For this reason, a new accuracy evaluation method is introduced, which can get the optimal worst-case surface accuracy. Both quantitative analysis and numerical example of a 110 m radio telescope show that this method can improve the worst-case accuracy effectively. The structural optimization of an 8 m antenna, as a test problem, is also discussed and the results are given.

Highlights

  • To ensure the electrical performance of the reflector antenna, the precise surface accuracy requirements must be maintained for a spectrum of the environmental wind and varying gravitational loading [1]–[3]

  • SUMMARY AND CONCLUSIONS The surface accuracy value, which is constrained during the structural optimization, used to refer to the worst-case surface accuracy

  • The RA-based accuracy evaluation has widely used in the antenna structure design, the EA-based accuracy evaluation method presented in this paper is more beneficial because it can enable further improvement of the worst-case surface accuracy

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Summary

INTRODUCTION

To ensure the electrical performance of the reflector antenna, the precise surface accuracy requirements must be maintained for a spectrum of the environmental wind and varying gravitational loading [1]–[3]. In Von Horner’s pioneering work [5], homologous design is skillfully proposed, which just requires the deformed antenna surface maintaining a parabolic shape over the whole range of antenna elevations This is based on the consideration that the adjustable subreflector and the reorientation of the antenna pointing can eliminate the path length error caused by the focal length change and the rigid body motion of the antenna. Based on this expression, the optimization model for minimizing worst-case surface rms error is built, and the optimal worst-case surface accuracy is derived. The half-path-length error vector in the rigging angle after the adjustment meets, ρ (γ ) = ρ(γ ) + ra = 0. The best surface accuracy rmsb can be obtained by substituting α∗ into Eq (10)

QUANTITATIVE ANALYSIS
Findings
SUMMARY AND CONCLUSIONS
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