Discrete-Time System Identification for Electrohydraulic Servo Systems

The application of system identification to an electrohydraulic servo system is described. Identified models are used to design pole-placement controllers for the system. A variety of parameter estimators and model structure selection techniques are compared by assessing the performance of the controllers designed from the estimated models. The least squares method processing filtered data is found to yield reliable models, and an appropriate model structure can be selected successfully by comparing prediction errors for models of different structure.

[1]  Petre Stoica,et al.  Comparison of Some Instrumental Variable Methods-Consistency and Accuracy Aspects , 1979 .

[2]  P. Young,et al.  Refined instrumental variable methods of recursive time-series analysis Part III. Extensions , 1980 .

[3]  G. Saridis.  Comparison of six on-line identification algorithms , 1974, Autom..

[4]  S. Sagara,et al.  Application of digital filtering techniques , 1991 .

[5]  R. Isermann,et al.  Comparison of six on-line identification and parameter estimation methods , 1974, Autom..

[6]  S Daley.  Application of a Fast Self-Tuning Control Algorithm to a Hydraulic Test Rig , 1987 .

[7]  A.J.W. van den Boom,et al.  The determination of the orders of process-and noise dynamics , 1974, Autom..

[8]  P. Young,et al.  Refined instrumental variable methods of recursive time-series analysis Part I. Single input, single output systems , 1979 .

[9]  Anthony J. Jakeman,et al.  An instrumental variable method for model order identification , 1980, Autom..

[10]  Heinz Unbehauen,et al.  Tests for determining model order in parameter estimation , 1974, Autom..

[11]  K. A. Edge,et al.  An Adaptively Controlled Electrohydraulic Servo-Mechanism: Part 2: Implementation , 1987 .

[12]  Andrew Robert Plummer.  Digital control techniques for electro-hydraulic servosystems , 1991 .

[13]  T. Söderström.  On model structure testing in system identification , 1977 .

[14]  I. Gustavsson.  Comparison of different methods for identification of industrial processes , 1972 .

[15]  D. Mayne,et al.  Design issues in adaptive control , 1988 .

[16]  Peter C. Young,et al.  Recursive Estimation and Time Series Analysis , 1984 .

[17]  Gene F. Franklin,et al.  Digital control of dynamic systems , 1980 .

[18]  K A Edge,et al.  Some issues in pole placement control of electrohydraulic servosytems , 1990 .