کنفرانس مهندسی برق ایران

صفحه اصلی / سی و سومین کنفرانس بین المللی مهندسی برق

Type-2 Fuzzy Wavelet Control for a Quadruple-Tank System based on Disturbance Rejection

نویسندگان :

Mohammadreza Esmaeilidehkordi¹ Alireza Nezamzadeh² Maryam Zekri³ Iman Izadi⁴ Farid Sheikholeslam⁵

1- دانشگاه صنعتی اصفهان 2- دانشگاه صنعتی اصفهان 3- دانشگاه صنعتی اصفهان 4- دانشگاه صنعتی اصفهان 5- دانشگاه صنعتی اصفهان

کلمات کلیدی :

Quadruple-Tank System،Type-2 Fuzzy Wavelet Control،Disturbance،Extreme Learning Machine

چکیده :

This paper introduces the Type-2 Fuzzy Wavelet Controller (T2FWC), a novel control framework designed for nonlinear systems influenced by uncertainty and noise. Each fuzzy rule’s THEN-part is associated with a sub-Wavelet Neural Network (sub-WNN), created through various dilation and translation parameters of a mother wavelet. This approach simplifies the wavelet transformation process by requiring only a single coefficient for each two output, striking a balance between structural complexity and computational efficiency. Performance comparisons of the T2FWC with the reinforcement learning algorithm and the PID controllers indicate a significant reduction in the number of linear learning parameters and improved resilience to random initialization, while preserving accuracy in control operations. The results demonstrate the effectiveness of the T2FWC in managing disturbances in liquid levels within a Quadruple Tank system, offering a robust alternative for optimizing control strategies in complex process environments. This research highlights the potential of combining advanced control techniques to enhance system performance amid variability and uncertainty.