Direct Adaptive Control of Nonminimum Phase Systems Using Integral Action

نویسندگان

  • JONG-HWAN KIM
  • YEON-CHAN HONG
  • SUNG-JUN LEE
چکیده

This paper presents a direct adaptive control scheme for nonminimum phase systems in which controller parameters are estimated from the recursive least-squares algorithm, and additional auxiliary parameters are obtained from the proposed polynomial identity. A local convergence is guaranteed without any extra condition. Integral action is incorporated into the adaptive controller to eliminate the steady-state error and to satisfy a condition of the unique solution for the polynomial identity. The control law used in this scheme is based on the set-point-onI-only PID structure.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Retrospective Cost Model Reference Adaptive Control for Nonminimum-Phase Systems

T HE objective of model reference adaptive control (MRAC) is to control an uncertain system so that it behaves like a given referencemodel in response to specified referencemodel commands. MRAC has been studied extensively for both continuous-time [1–8] and discrete-time systems [7–12]. In addition, MRAC has been extended to various classes of nonlinear systems [13]. However, the direct adaptiv...

متن کامل

Closed Loop Direct Adaptive Inverse Control for Linear Plants

In direct adaptive inverse control (DAIC), parameters of the controller are estimated directly in the feed-forward loop. In this paper, we propose a closed loop direct adaptive inverse control (CDAIC) scheme which improves tracking, error convergence, and disturbance rejection properties of DAIC. CDAIC is applicable to stable or stabilized, minimum or nonminimum phase linear plants. CDAIC and D...

متن کامل

Adaptive stabilization of non-minimum phase nonlinear systems using neural networks

This paper, presents a direct adaptive control design method for uncertain nonlinear non-minimum phase systems. First, an appropriate reference signal is designed such that the internal dynamic subsystem is input-to-state practical stable. Then an output feedback control, which does not rely on the state estimation, is designed such that the output of system asymptotically tracks this reference...

متن کامل

Discrete-time Adaptive Lqg/ltr Control

An adaptive discrete-time LQG control with loop transfer recovery (LTR) is considered. The control problem is analyzed using state-space model and the parameter estimation problem is implemented for corresponding discrete-time model in transfer function form obtained via ZOH. Thus the direct estimation of model parameters is possible by means of standard RLS or ERLS procedure and the adaptive c...

متن کامل

Adaptive and intelligent control of permanent magnet synchronous motor (PMSM) using a combination of fuzzy logic and gray wolf algorithm under fault condition

Nowadays, permanent magnet synchronous motors have been widely used in industry due to the elimination of excitation losses, longer life and higher efficiency. Errors in engine and drive systems are unavoidable during operation. Therefore, a suitable scenario should be considered for when these systems fail. If the necessary predictions and control algorithms are not considered for the error co...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2004