Active sensor fault tolerant output feedback tracking control for wind turbine systems via T–S model

Abstract

This paper presents a new approach to active sensor fault tolerant tracking control (FTTC) for offshore wind turbine (OWT) described via Takagi-Sugeno (T-S) multiple models. The FTTC strategy is designed in such way that aims to maintaining nominal wind turbine controller without change in both fault and fault-free cases. This is achieved by inserting T-S proportional state estimators augmented with proportional and integral feedback (PPI) fault estimators to be capable to estimate different generator and rotor speed sensors fault for compensation purposes. Due to the dependency of the FTTC strategy on the fault estimation the designed observer has the capability to estimate a wide range of time varying fault signal. Moreover, the robustness of the observer against the difference between the anemometer wind speed measurement and the immeasurable effective wind speed signal has been taken into account. The corrected measurements fed to a T-S fuzzy dynamic output feedback controller (TSDOFC) designed to track the desired trajectory. The stability proof with H ∞ performance and D-stability constraints is formulated as a Linear Matrix Inequality (LMI) problem. The strategy is illustrated using a non-linear benchmark system model of a wind turbine offered within a competition led by the companies Mathworks and KK-Electronic.

Intelligent condition monitoring of variable speed wind energy conversion systems based on decentralized sliding mode observer

“…Park et al [6] have given the design of a robust adaptive fuzzy observer for uncertain nonlinear systems. A new approach to active sensor fault tolerant output feedback tracking control for WT systems via TS model is presented in [7]. Many authors have proposed SMO design methods [8][9][10][11].…”

Fault Tolerant Controller Design for a Faulty UAV Using Fuzzy Modeling Approach

“…In [8], the problem of FTTC is discussed for a class of fuzzy system with premise unmeasurable factors; the fuzzy descriptor observer is addressed for estimating the sensor faults. In [9], an active FTTC approach is researched for the nonlinear system with sensor faults via T-S multiple models. Reference [10] studies a FTC scheme of a fuzzy control system under actuator LOE faults using delta operator approach, which compensates for the function of actuator faults and makes T-S fuzzy system stable.…”

Wind turbines controllers design based on the super-twisting algorithm

“…The further growth of the wind energy industry depends mainly on the technological developments, especially considering production and construction methods of the turbines [1], [2]. From the certification authorities, the specified minimum design lifetime of a new wind turbine (WT) is only 20 years (see, for example, [3]).…”