Applying GIC to improve response of system with time-varying parameters and big-inertia

Abstract

The contradiction between speediness and stability is a salient problem of control system especially when the system is with character of time-varying parameters and big-inertia. It is hard to be solved perfectly either by classical control or modern control or intelligent control. The integrated control scheme and concept of generalized intelligent control (GIC) is proposed in this paper. The state-space method is adopted to describe the classical control, modern control and intelligent control. Stabilization conditions and mathematical proofs of generalized intelligent control system are given also. Theoretical analysis shows that the control strategy integrated by state feedback based on IFO-KDeltax and PID can make nonlinear controlled system asymptotically stable at large extent. Furthermore, intelligent predictive control such as feed forward, forecast, fuzzy control is merged to the scheme can improve response of control system with time-varying parameter and big inertia. The correctness and the validity of the design method are proved in engineering practice.