A New Robust Adaptive Algorithm For Asymptotic Tracking Of Two-Mass Wind Turbine System With Lumped Rotor Stiffness

Kamarudin, Muhammad Nizam and Mohd Aras, Mohd Shahrieel and Sulaiman, Marizan and Chong, Shin Horng and Md. Rozali, Sahazati and Syed Salim, Syed Najib and Jaafar, Hazriq Izzuan (2018) A New Robust Adaptive Algorithm For Asymptotic Tracking Of Two-Mass Wind Turbine System With Lumped Rotor Stiffness. Project Report. UTeM, Melaka, Malaysia. (Submitted)

Text A New Robust Adaptive Algorithm For Asymptotic Tracking Of Two-Mass Wind Turbine System With Lumped Rotor Stiffness.pdf - Submitted Version Restricted to Registered users only Download (1MB)

Abstract

The dynamics of a two-mass wind turbine system consists of a rotor-generator inertia, rotor generator external damping, and rotor generator stiffness. In a variable speed algorithm to date, the lumped stiffness has been neglected because the presence of the stiffness will introduce an integral-term to the system dynamic that is difficult to handle by control engineers. In a constant speed wind turbine, the rotor speed remains constant for all wind speed profile. Due to wind intermittent, the inherent problems of the constant speed wind turbine becomes more pronounced. Alternatively, variable speed wind turbine allows the rotor and wind speed to be matched in order to maintain its optimum tip-speed-ratio (TSR) for maximum efficiency. As such, the need for asymptotic tracking for the rotor speed is a must. Practically, the value of power coefficient is provided via look-up-table by each turbine manufacturer. In research point of view, numerous designers set a constant value for the coefficient, which is practically not a valid choice. Therefore, this research proposes a variable speed algorithm for asymptotic tracking of turbine rotor speed with the appearance of lumped stiffness in system dynamics. The proposed algorithm is facilitated by adaptive law for its adaptability to wind intermittent and unknown parameters. The proposed the algorithm also embeds the empirical value of power coefficient in the system model. The proposed algorithm is formulated via Lyapunov stability criteria for stability, tracking and adaptability. The LaSalle invariant set theorem is exploited in order to obtain larger Asymptotic Tracking Region (ATR) such that the maximum aero-dynamic power can be acquired. It is expected that the proposed algorithm guarantees the asymptotic tracking of turbine rotor speed for optimum TSR though the lumped stiffness is taken into consideration. The ATR is also expected to be large in for a maximum aero-dynamic power.

Actions (login required)

View Item