A floating-point all hardware self-tuning regulator for second order systems

Author

Cao, Jiaying ; Salcic, Zoran ; Nguang, Sing Kiong

Author_Institution

Dept. of Electr. & Electron. Eng., Auckland Univ., New Zealand

Volume

3

fYear

2002

fDate

28-31 Oct. 2002

Firstpage

1733

Abstract

Self-tuning regulators (STR) with online recursive least square (RLS) estimation is a promising adaptive control strategy. In this paper its pure hardware implementation for second order systems using floating-point dedicated and parameterized arithmetic is presented. It combines a system parameter estimator, controller design cirri-it and controller in a single-chip field-programmable logic device (FPLD) implementation. The design is verified with real experiments using a new testbed which includes a suite of tools for rapid system prototyping of STRs.

Keywords

adaptive control; field programmable gate arrays; floating point arithmetic; least squares approximations; microcontrollers; online operation; recursive estimation; self-adjusting systems; FPLD; STR; adaptive control; controller design circuit; floating-point all-hardware self-tuning regulator; online RLS estimation; online recursive least-square estimation; parameter estimator; rapid system prototyping; second-order systems; single-chip field-programmable logic device; Adaptive control; Control systems; Floating-point arithmetic; Hardware; Least squares approximation; Logic devices; Parameter estimation; Recursive estimation; Resonance light scattering; System testing;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering

Print_ISBN

0-7803-7490-8

Type

conf

DOI

10.1109/TENCON.2002.1182669

Filename

1182669