Intelligent Sliding Mode Control of Cutting Force During Single-Point Turning Operations  

Oleh:

Buckner, Gregory D.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Journal of Manufacturing Science and Engineering vol. 123 no. 2 (May 2001), page 206-213.
Topik: cutting force; sliding mode control; cutting force; single - point; turning operations

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: JJ93.2 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

Lihat Detail Induk

Isi artikel

A novel intelligent control architecture has been developed to regulate cutting forces during single-point turning operations. A self - adapting Sliding Mode Controller (SMC) accounts for parameter variations and unmodeled dynamics in the cutting process. A unique artificial neural network, the 2 - Sigma network, statistically bounds modeling uncertainties between a low - order, linear dynamic model and the actual cutting process. These uncertainty bounds provide "localized" gains for the SMC, thus reducing excess control activity while maintaining performance. Initially, the 2 - Sigma networks are trained off-line using experimental data from a variety of operating conditions. In the final implementation, the 2 - Sigma networks are updated on-line, allowing the SMC to respond to parameter variations and unmodeled dynamics. Experiments conducted on a CNC lathe demonstrate the exceptional performance and robustness of this control system.

Opini Anda

Klik untuk menuliskan opini Anda tentang koleksi ini!

Kembali