Advanced International Journal for Research
E-ISSN: 3048-7641
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Volume 7 Issue 2
March-April 2026
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Design a new technique of fuzzy logic controller for MEMS system
| Author(s) | Dr. Priyanka Jaiswal, Dr. Sanjay Jain |
|---|---|
| Country | India |
| Abstract | Micro-Electro-Mechanical Systems (MEMS) demand advanced control methodologies due to their nonlinear behavior, coupling effects, susceptibility to noise, and parameter variations stemming from manufacturing processes and operational environments. Traditional approaches, such as PID or rigid adaptive controllers, often fail to maintain high-precision actuation and robust stability in dynamic, uncertain MEMS contexts. Therefore, the development of a novel fuzzy logic controller (FLC) tailored for MEMS is both relevant and significant. This paper presents the design of a novel fuzzy logic controller tailored for MEMS (Micro-Electro-Mechanical Systems) applications, addressing the intrinsic nonlinearities, parametric uncertainties, and external disturbances which routinely hinder performance at the micro-scale. The proposed controller structure incorporates adaptive fuzzy rule modulation and hierarchical region-based partitioning, allowing for real-time tuning and robust compensation across diverse system regimes. Through Lyapunov-based stability analysis and extensive simulation, the controller demonstrates accelerated convergence, high-precision tracking, and effective mitigation of chattering phenomena common with sliding mode control. The framework interfaces seamlessly with digital control platforms, ensuring scalability and suitability for modern MEMS architectures. |
| Field | Engineering |
| Published In | Volume 5, Issue 6, November-December 2024 |
| Published On | 2024-11-04 |
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E-ISSN 3048-7641
CrossRef DOI is assigned to each research paper published in our journal.
AIJFR DOI prefix is
10.63363/aijfr
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