A dynamic controller design method is presented for linear plant models with random initial conditions such that time domain and frequency domain specifications are met. A linear quadratic Gaussian (LQG) controller structure is employed and the state weighting matrix Q and state noise intensity matr
Parametric output feedback controller design
β Scribed by G. Roppenecker; J. O'Reilly
- Publisher
- Elsevier Science
- Year
- 1989
- Tongue
- English
- Weight
- 692 KB
- Volume
- 25
- Category
- Article
- ISSN
- 0005-1098
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β¦ Synopsis
A parameterization of fixed gain output feedback controllers which will assign a complete set of distinct eigenvalues to a given state-space system is presented. The main result is a compact parametric expression for the output feedback controller gain matrix explicitly characterized by two sets of free parameters: the set of n closed-loop system eigenvalues and a set of mr-n design parameters for n-state, r-input, m-output systems. The free design parameters are determined by a sequential design procedure which automatically satisfies the basic orthogonality constraints on the left and right closed-loop eigenveetors under the condition m + r > n. The principal benefits of the explicit characterization of a parametric class of output feedback controllers lie in the ability to directly accommodate various different design criteria. An illustration of the parametric output feedback design procedure is given by way of approximating the optimal full state regulator response of a fifth-order pilot plant evaporator model.
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