Sensors & Transducers

Vol. 261, Issue 2, July 2023, pp. 41-45

The Triangular Observer-Based Integral Sliding-Mode Wind System Energy Control

* Sanae EL BOUASSI, Zakaria CHALH and El Mehdi MELLOULI

Laboratory of Artificial Intelligence, Data Sciences and Emerging Systems, School of Applied Sciences, Sidi MohamedBen Abdellah University, Fez, Morocco


Received: 13 April 2023 Accepted: 19 June 2023 Published: 26 June 2023

Abstract: We describe a fresh way to constructing a dependable controller utilizing a modified integrated sliding mode control technique in this research. Our proposed solution is intended to address the problem of attaining phase in systems with matching disturbances. As a starting point for demonstrating the usefulness of our technique, we propose replicating a wind turbine system. The inbuilt sliding mode control system is therefore used, which just requires the rotor speed as an accessible measurement. We use an asymptotic observer design that lowers observing errors over time to predict the unknown rotor acceleration required for the control law. The control law is based on Lyapunov stability analysis, which ensures the system's stability. We compare the performance of our proposed system to that of typical sliding mode control using simulation results in terms of settling time, tracking precision, energy usage, and input smoothness. Our findings show that the proposed technique outperforms classic sliding mode control across various performance parameters, showing its potential for developing a reliable controller in real applications.

Keywords: Integral sliding mode control, Lyapunov stability, Nonlinear control, Triangular observer, Wind turbine.