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A platform for research: civil engineering, architecture and urbanism
Sliding Mode-Based Fuzzy Model Reference Adaptive Control Technique for an Unstable System
Abstract A comparative performance analysis of two adaptive control techniques for an unstable and disturbed system is presented. The first technique is model reference adaptive control (MRAC) that is based on Lyapunov theory, and second strategy is a combination of sliding mode (SM) and fuzzy logic theories and is known as sliding mode fuzzy model reference adaptive control (SM-FMRAC). In these schemes, asymptotic tracking of three reference models with different settling times and the different damping conditions is achieved. The expected advantage of the proposed SM-FMRAC is to improve the performance specifications over the MRAC technique.
Sliding Mode-Based Fuzzy Model Reference Adaptive Control Technique for an Unstable System
Abstract A comparative performance analysis of two adaptive control techniques for an unstable and disturbed system is presented. The first technique is model reference adaptive control (MRAC) that is based on Lyapunov theory, and second strategy is a combination of sliding mode (SM) and fuzzy logic theories and is known as sliding mode fuzzy model reference adaptive control (SM-FMRAC). In these schemes, asymptotic tracking of three reference models with different settling times and the different damping conditions is achieved. The expected advantage of the proposed SM-FMRAC is to improve the performance specifications over the MRAC technique.
Sliding Mode-Based Fuzzy Model Reference Adaptive Control Technique for an Unstable System
Yadav, Anil Kumar (author) / Pathak, Pawan Kumar (author) / Sah, Sneha V. (author) / Gaur, Prerna (author)
Journal of The Institution of Engineers (India): Series B ; 100 ; 169-177
2019-02-07
9 pages
Article (Journal)
Electronic Resource
English
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