Semantic Scholar Open Access 2021 9 sitasi

Tracking control of uncertain Euler–Lagrange systems with fading and saturating actuations: A low‐cost neuroadaptive proportional‐integral‐derivative approach

Huanfeng Liu Zhen Gao Lan Cao Ziqiang Jiang Jie Zhang +1 lainnya

Abstrak

Many important engineering systems can be classified as Euler–Lagrange (EL) systems. In this work we develop a new Proportional‐Integral‐Derivative (PID) ‐based tracking control solution for uncertain EL systems subject to actuation failures and saturation. Two set of control algorithms are developed using robust adaptive and neuroadaptive methods, which are shown to exhibit several salient features: (1) the control schemes are of PID form, hence is characterized with simplicity in structure and intuition in concept; (2) the PID gains in the scheme are automatically updated by analytic algorithms with no need for manual tuning, rendering the control scheme more user‐friendly; and (3) the developed control algorithms are robust against nonvanishing disturbances, adaptive to unknown virtual parameter and immune to partial actuation effectiveness faults.

Topik & Kata Kunci

Penulis (6)

H

Huanfeng Liu

Z

Zhen Gao

L

Lan Cao

Z

Ziqiang Jiang

J

Jie Zhang

Y

Yongduan Song

Format Sitasi

Liu, H., Gao, Z., Cao, L., Jiang, Z., Zhang, J., Song, Y. (2021). Tracking control of uncertain Euler–Lagrange systems with fading and saturating actuations: A low‐cost neuroadaptive proportional‐integral‐derivative approach. https://doi.org/10.1002/rnc.5556

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Informasi Jurnal
Tahun Terbit
2021
Bahasa
en
Total Sitasi
Sumber Database
Semantic Scholar
DOI
10.1002/rnc.5556
Akses
Open Access ✓