Adaptive backstepping control for maximizing marine current power generation based on uncertainty and disturbance estimation. (May 2020)

• Record Type: Journal Article
• Authors: Yin, Xiuxing; Zhang, Wencan; Jiang, Zhansi; Pan, Li; Lei, Meizhen
• Is Part Of: International journal of electrical power & energy systems. Volume 117(2020)
• Publication Date: 2020-05
• Subjects: Marine energy -- Marine current turbine -- Maximum power generation -- Adaptive backstepping control -- Uncertainty and disturbance estimation; Electrical engineering -- Periodicals; Electric power systems -- Periodicals; Électrotechnique -- Périodiques; Réseaux électriques (Énergie) -- Périodiques; Electric power systems; Electrical engineering; Periodicals; 621.3
• DOI: 10.1016/j.ijepes.2019.05.066
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: An adaptive backstepping controller is proposed to extract the maximum marine current energy. The uncertainty and disturbance can be well estimated and compensated in the controller. An adaptive update law is designed to compensate for the system parameter uncertainties. Abstract: The renewable energy from marine currents is highly promising as a clean, reliable and predictable energy source for the next-generation electricity generation. Therefore, the paper focuses on the design and implementation of the high-efficiency control for maximizing the marine current power generation and hence an adaptive backstepping controller with uncertainty and disturbance estimation is proposed for a generic horizontal marine turbine. The turbine design principle and dynamics modelling are presented and then the control problem is formulated. Consequently, the controller is designed to be composed of a marine turbine speed control loop and a q-axis current control loop while the uncertainty and disturbance is estimated and compensated. A swell filter is also incorporated into the control loop to smooth generator power fluctuations. The stability of the proposed control is verified via the Lyapunov synthesis and all the tracking errors are guaranteed to converge to zero asymptotically. The proposed control is verified and the test results indicate that the generator produces obviously more power (up to 30% more power) when using the proposed control in comparison with a conventional backstepping control.