Abstract
This paper describes the way in which a parameter identification scheme can be interfaced with a modal control scheme in order to achieve adaptive control of structural dynamic systems. The identification scheme is based on recursive least square lattice filters and the control scheme is a modal pole placement technique for vibration suppression. To achieve stable adaptive control and meet performance requirements, the identification and control schemes must be properly interfaced. This has been done by analyzing the control law to determine the range of parameter errors that will result in stability and acceptable performance. This information is used to determine the requirements for accuracy of an on-line parameter identification scheme. The general philosophy considers the testing of the suitability of the identified parameters for control system design. The tests consist of checking the fit error, convergence of the parameters, and the signal-to-noise level in the measurement data. After all the tests are passed, the new parameters are used to modify the control system feedback gains and the control forces are applied. This paper presents a detailed description of the test procedures and their application to the simulations of closed-loop adaptive control for the 12-ft, free-free beam apparatus at NASA Langley Research Center.
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