DocumentCode
2179142
Title
Model reference adaptive control-implementation considerations on an integer-based DSP
Author
Chen, Liyong ; Balda, Juan C. ; Olejniczak, Kraig J.
Author_Institution
Polyspede Electron. Corp., Dallas, TX, USA
Volume
2
fYear
1995
fDate
8-12 Oct 1995
Firstpage
1612
Abstract
Model reference adaptive control (MRAC) techniques may be used in high-performance applications of induction motor drives to minimize adverse effects from changes in the load conditions and/or system parameters. Although the MRAC technique accounts for uncertainties and/or inaccuracies of the motor and load parameters in the design stage, its implementation on an integer-based DSP has several difficulties associated with the large dynamic range of the covariance matrix and the finite length of the DSP word. This paper addresses the solution to these difficulties using double-word fixed-point algorithms which increase the dynamic range of the data and concurrently reduces rounding and/or truncation errors. The unavoidable disadvantage is a longer execution time. First, the general MRAC technique is briefly discussed for reference. Double-word fixed-point addition, subtraction, multiplication and division are then described in detail. Finally, experimental results are presented to illustrate the proposed ideas when controlling the speed of a 2 hp induction motor drive using the proposed double-word fixed-point MRAC technique for the speed controller
Keywords
control system synthesis; digital control; digital signal processing chips; induction motor drives; machine control; machine testing; machine theory; model reference adaptive control systems; power engineering computing; velocity control; 2 hp; covariance matrix; double-word fixed-point algorithms; dynamic range; execution time; induction motor drives; integer-based DSP; load parameters; model reference adaptive control; Adaptive control; Covariance matrix; Digital signal processing; Digital signal processors; Dynamic range; Finite wordlength effects; Pi control; Proportional control; Signal processing algorithms; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Industry Applications Conference, 1995. Thirtieth IAS Annual Meeting, IAS '95., Conference Record of the 1995 IEEE
Conference_Location
Orlando, FL
ISSN
0197-2618
Print_ISBN
0-7803-3008-0
Type
conf
DOI
10.1109/IAS.1995.530497
Filename
530497
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