Title :
State feedback regulation of nonlinear systems using conditional integrators
Author :
Singh, Abhyudai ; Khalil, Hassan K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
Abstract :
This paper studies the regulation of nonlinear systems using conditional integrators. Previous work introduced the tool of conditional integrators that provide integral action inside a boundary layer while acting as stable systems outside, leading to improvement in transient response while achieving asymptotic regulation in the presence of unknown constant disturbances or parameter uncertainties. The approach, however, is restricted to a sliding mode control framework. This paper extends this tool to a fairly general class or state feedback control laws, with the stipulation that we know a Lyapunov function for the closed-loop system. Asymptotic regulation with improvement in transient response is done by using the Lyapunov redesign technique to implement the state feedback control as a saturated high-gain feedback and introducing a conditional integrator to provide integral action inside a boundary layer. Improvement in the transient response using conditional integrators is demonstrated with an experimental application to the Pendubot.
Keywords :
Lyapunov methods; closed loop systems; control system synthesis; manipulators; nonlinear control systems; state feedback; transient response; uncertain systems; variable structure systems; Lyapunov function; Lyapunov redesign technique; Pendubot; asymptotic regulation; boundary layer; closed-loop system; conditional integrators; nonlinear systems; parameter uncertainties; saturated high-gain feedback; sliding mode control; stable systems; state feedback control; state feedback control laws; state feedback regulation; transient response; unknown constant disturbances; Control systems; Degradation; Integral equations; Lyapunov method; Nonlinear control systems; Nonlinear systems; Sliding mode control; State feedback; Transient response; Uncertain systems;
Conference_Titel :
Decision and Control, 2004. CDC. 43rd IEEE Conference on
Print_ISBN :
0-7803-8682-5
DOI :
10.1109/CDC.2004.1429502