A new approach to the LQ design from the viewpoint of the inverse regulator problem

A new design method of LQ regulators is developed by reverse application of pertinent results on the inverse regulator problem. The LQ regulator of interest here is, unlike the usual one, designed without specifying a quadratic cost, but it proves to minimize some quadratic cost; hence, it possesses those well-known robustness properties shared by all LQ regulators. A basic design procedure is developed first, and followed by practical ones in which the design parameters are chosen based on asymptotic modal properties of the regulator. This new method requires no Riccati solutions, thereby leading to simplification of the LQ design as compared to the usual one.

[1]  Vadim I. Utkin,et al.  A singular perturbation analysis of high-gain feedback systems , 1977 .

[2]  An output feedback approximation to optimal state feedback control , 1978 .

[3]  B. Francis The optimal linear-quadratic time-invariant regulator with cheap control , 1979 .

[4]  D. Gbaupe,et al.  Derivation of weighting matrices towards satisfying eigenvalue requirements , 1972 .

[5]  P. Moylan,et al.  Matrices with positive principal minors , 1977 .

[6]  N. Karcanias,et al.  Poles and zeros of linear multivariable systems : a survey of the algebraic, geometric and complex-variable theory , 1976 .

[7]  Y. Bar-Ness,et al.  Optimal closed-loop poles assignment , 1978 .

[8]  A. Jameson,et al.  Inverse Problem of Linear Optimal Control , 1973 .

[9]  H. Kimura Pole assignment by gain output feedback , 1975 .

[10]  O. Solheim Design of optimal control systems with prescribed eigenvalues , 1972 .

[11]  B. Molinari The stable regulator problem and its inverse , 1973 .

[12]  Takao Fujii,et al.  A complete optimally condition in the inverse problem of optimal control , 1984, The 23rd IEEE Conference on Decision and Control.

[13]  Michael Athans,et al.  Gain and phase margin for multiloop LQG regulators , 1976, 1976 IEEE Conference on Decision and Control including the 15th Symposium on Adaptive Processes.

[14]  G. Stein,et al.  Quadratic weights for asymptotic regulator properties , 1977, 1977 IEEE Conference on Decision and Control including the 16th Symposium on Adaptive Processes and A Special Symposium on Fuzzy Set Theory and Applications.

[15]  R. E. Kalman,et al.  When Is a Linear Control System Optimal , 1964 .

[16]  B. Moore On the flexibility offered by state feedback in multivariable systems beyond closed loop eigenvalue assignment , 1975 .

[17]  H. Kimura A new approach to the perfect regulation and the bounded peaking in linear multivariable control systems , 1981 .