Robust Backstepping Control of Induction Motors Using Neural Networks  

Oleh:

Kwan, C. M. ; Lewis, F. L.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 11 no. 5 (2000), page 1178-1187.
Topik: INDUCTION MOTORS; robust; backstepping; control; induction motors; neural networks

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.4 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

Lihat Detail Induk

Isi artikel

We present a new robust control technique for induction motors using neural networks (NN s). The method is systematic and robust to parameter variations. Motivated by the backstepping design technique, we first treat certain signals in the system as fictitious control inputs to a simpler subsystem. A two-layer NN is used in this stage to design the fictitious controller. We then apply a second two - layer NN to robustly realize the fictitious NN signals designed in the previous step. A new tuning scheme is proposed which can guarantee the boundedness of tracking error and weight updates. A main advantage of our method is that it does not require regression matrices, so that no preliminary dynamical analysis is needed. Another salient feature of our NN approach is that the off - line learning phase is not needed. Full state feedback is needed for implementation. Load torque and rotor resistance can be unknown but bounded.

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