Optimal Recursive Digital Filters for Active Bending Stabilization

In the design of flight control systems for large flexible boosters, it is common practice to utilize active feedback control of the first lateral structural bending mode so as to suppress transients and reduce gust loading. Typically, active stabilization or phase stabilization is achieved by carefully shaping the loop transfer function in the frequency domain via the use of compensating filters combined with the frequency response characteristics of the nozzle/actuator system. In this paper we present a new approach for parameterizing and determining optimal low-order recursive linear digital filters so as to satisfy phase shaping constraints for bending and sloshing dynamics while simultaneously maximizing attenuation in other frequency bands of interest, e.g. near higher frequency parasitic structural modes. By parameterizing the filter directly in the z-plane with certain restrictions, the search space of candidate filter designs that satisfy the constraints is restricted to stable, minimum phase recursive low-pass filters with well-conditioned coefficients. Combined with optimal output feedback blending from multiple rate gyros, the present approach enables rapid and robust parametrization of autopilot bending filters to attain flight control performance objectives. Numerical results are presented that illustrate the application of the present technique to the development of rate gyro filters for an exploration-class multi-engined space launch vehicle.

[1]  Imad M. Jaimoukha,et al.  Normalized H∞ controller reduction with a priori error bounds , 2001, IEEE Trans. Autom. Control..

[2]  B. Schutter,et al.  Minimal state-space realization in linear system theory: an overview , 2000 .

[3]  C. Charalambous,et al.  Two methods for the reduction of quantization effects in recursive digital filters , 1983 .

[4]  Jeb S. Orr,et al.  A Flight Dynamics Model for a Multi-Actuated Flexible Rocket Vehicle , 2011 .

[5]  B. Hall,et al.  Digital control system development for the Delta launch vehicle , 1973 .

[6]  Pol D. Spanos,et al.  A CONSTRAINED OPTIMIZATION APPROACH FOR CMG ROBUST FLEX FILTER DESIGN , 2002 .

[7]  M. Lang,et al.  Weighted least squares IIR filter design with arbitrary magnitude and phase responses and specified stability margin , 1998, 1998 IEEE Symposium on Advances in Digital Filtering and Signal Processing. Symposium Proceedings (Cat. No.98EX185).

[8]  nasa,et al.  Effects of structural flexibility on launch vehicle control systems , 2013 .

[9]  James Frosch,et al.  Saturn AS-501/S-IC flight control system design. , 1967 .

[10]  Arthur L. Greensite Analysis and Design of Space Vehicle Flight Control Systems. Volume I - Short Period Dynamics , 1967 .

[11]  R. Fletcher Practical Methods of Optimization , 1988 .

[12]  Thomas W. Parks,et al.  Design of FIR filters in the complex domain , 1987, IEEE Trans. Acoust. Speech Signal Process..

[13]  Robert Hall,et al.  Initial Ares I Bending Filter Design , 2007 .

[14]  F. W. Gembicki,et al.  Vector optimization for control with performance and parameter sensitivity indices , 1974 .

[15]  Hj Hans Butterweck,et al.  Finite wordlength effects in digital filters , 1989 .

[16]  Robert Hall,et al.  Ares-I Bending Filter Design Using A Constrained Optimization Approach , 2008 .

[17]  P. Khargonekar,et al.  State-space solutions to standard H2 and H∞ control problems , 1988, 1988 American Control Conference.

[18]  J. Zvara,et al.  Structural interaction with control systems , 1971 .

[19]  G. Pignie Ariane 5 and Ariane 5 Evolution GN&C Overview , 2002 .

[20]  P. Khargonekar,et al.  State-space solutions to standard H/sub 2/ and H/sub infinity / control problems , 1989 .