论文信息 - Double improved integral adaptive control of one order system

Double improved integral adaptive control of one order system

Abstract. In order to achieve adaptive control and single parameter identification of one order system, an ordinary adaptive control method is used in this paper. By introducing integral control and considering multiple variables, an adaptive control law is designed, and the result of parameter identification is analyzed. In the end, a conclusion can be made that theoretical analysis is correct and parameter identification method is effective by numerical simulation.

Lingling Wang | Yuliang Chen | Xiaoyan Qu

[1] David K. Schmidt,et al. Modeling and Near-Space Stationkeeping Control of a Large High-Altitude Airship , 2007 .

[2] Giansalvo Cirrincione,et al. A new experimental application of least-squares techniques for the estimation of the induction motor parameters , 2002 .

[3] Chen Yu,et al. Research of the Nonlinear System Identification Based on the Volterra RLS Adaptive Filter Algorithm , 2013 .

[4] An improved Direct Adaptive Fuzzy controller for an uncertain DC Motor Speed Control System , 2013 .

[5] Hamid A. Toliyat,et al. Neural speed filtering for sensorless induction motor drives , 2004 .

[6] Gao Lina,et al. Research of the Nonlinear System Identification Based on the Volterra RLS Adaptive Filter Algorithm , 2013 .

[7] M. W. Dunnigan,et al. Parameter estimation of an induction machine using advanced particle swarm optimisation algorithms , 2010 .

[8] David K. Schmidt,et al. Near-space station-keeping performance of a large high-altitude notional airship , 2006 .

[9] K. S. Huang,et al. Parameter identification of an induction machine using genetic algorithms , 1999, Proceedings of the 1999 IEEE International Symposium on Computer Aided Control System Design (Cat. No.99TH8404).

[10] Jianhong Wang,et al. Neural Network-based Adaptive Passive Output Feedback Control for MIMO Uncertain System , 2012 .