Dynamics and control of multipayload platforms: The middeck active control experiment (MACE)

A flight experiment entitled the Middeck Active Control Experiment (MACE) proposed by the Space Engineering Research Center (SERC) at the Massachusetts Institute of Technology is described. The objective of this program is to investigate and validate the modeling of the dynamics of an actively controlled flexible, articulating, multibody platform free floating in zero gravity. A rationale and experimental approach for the program are presented. The rationale shows that on-orbit testing, coupled with ground testing and a strong analytical program, is necessary in order to fully understand both how flexibility of the platform affects the pointing problem, as well as how gravity perturbs this structural flexibility causing deviations between 1-and 0-gravity behavior. The experimental approach captures the essential physics of multibody platforms, by identifying the appropriate attributes, tests, and performance metrics of the test article, and defines the tests required to successfully validate the analytical framework.

[1]  Christopher Emil Eyerman,et al.  A systems engineering approach to disturbance minimization for spacecraft utilizing controlled structures technology , 1990 .

[2]  Alexander Graham,et al.  Kronecker Products and Matrix Calculus: With Applications , 1981 .

[3]  Robert E. Skelton,et al.  Model error concepts in control design , 1989 .

[4]  D. Bernstein,et al.  The optimal projection equations for fixed-order dynamic compensation , 1984 .

[5]  Christopher I. Byrnes,et al.  Simultaneous stabilization and simultaneous pole-placement by nonswitching dynamic compensation , 1983 .

[6]  Yoshikazu Miyazawa.  Robust flight control system design with multiple model approach , 1992 .

[7]  Robert N. Jacques,et al.  Typical section problems for structural control applications , 1990 .

[8]  Bijoy K. Ghosh,et al.  An approach to simultaneous system design. Part 11: nonswitching gain and dynamic feedback compensation by algebraic geometric methods , 1988 .

[9]  Arthur E. Bryson,et al.  Control Logic for Parameter Insensitivity and Disturbance Attenuation , 1982 .

[10]  Dennis S. Bernstein,et al.  The Optimal Projection Equations for Reduced-Order State Estimation , 1985, 1985 American Control Conference.

[11]  J. Murray,et al.  Fractional representation, algebraic geometry, and the simultaneous stabilization problem , 1982 .

[12]  R. A. Laskin,et al.  Future Payload Isolation and Pointing System Technology , 1986 .

[13]  John T. Spanos,et al.  Control-structure interaction in precision pointing servo loops , 1989 .