access icon free Linear time-varying control of the vibrations of flexible structures

Recent results on pole placement for linear time-varying (LTV) systems are exploited here for the control of flexible structures. The infinite-dimensional system is approached as usual by a restricted number of modes of interest, according to the frequency range in which the system is exploited. The difference with the previous approaches (e.g. gain scheduling) is that only one finite dimension linear model is used and its parameters (frequency and damping of the modes) are varying according to the operating conditions. The control model is thus LTV and a regulator is analytically synthesised to ensure closed-loop stability and performances. This regulator is also LTV and thus automatically (without any special switching action) tracks the operating conditions of the system. The case of a flexible beam is studied in simulation as well as in the laboratory experimentation. Hence, a suitable application of the proposed LTV synthesis is done to find a compromise between the complexity of interpolation and its efficiency. Furthermore, the bad dissipation factor of flexible systems leads them to be good candidates to proof the efficiency of the proposed gain scheduling strategy. This work validates on a real system the LTV pole placement approach and opens the way to a new gain scheduling strategy for the control of LTV, non-linear or infinite-dimensional systems.

Inspec keywords: pole assignment; beams (structures); interpolation; multidimensional systems; vibration control; linear systems; scheduling; closed loop systems; stability; time-varying systems

Other keywords: bad dissipation factor; linear time-varying control system; regulator; LTV pole placement approach; gain scheduling strategy; vibration control; flexible beam; closed-loop stability; nonlinear systems; infinite-dimensional system; interpolation complexity; finite dimension linear model; flexible structure control; LTV systems

Subjects: General shapes and structures; Time-varying control systems; Control system analysis and synthesis methods; Stability in control theory; Numerical analysis; Vibrations and shock waves (mechanical engineering); Mechanical variables control; Interpolation and function approximation (numerical analysis); Distributed parameter control systems

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