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access icon free Nie–Tan fuzzy method of fault-tolerant wind energy conversion systems via sampled-data control

© The Institution of Engineering and Technology
Received 17/07/2019, Accepted 16/04/2020, Revised 19/03/2020, Published 17/04/2020

In this study, the stabilisation of fault-tolerant control problem for the variable speed wind turbine (VSWT) model has been investigated with actuator faults by incorporating a Takagi–Sugeno fuzzy technique. To deal with the non-linear behaviour of VSWT, Nie–Tan fuzzy logic membership is proposed. The sampled-data input is changed over into a time-delay term by input delay methodology, and the time delay caused by signal transmission is likewise overseen here. Based on Lyapunov–Krasovskii function theory, a new relaxed sufficient condition with less linear matrix inequality constraints is derived. According to this criterion, a Nie–Tan fuzzy logic controller has been devised to ensure that the closed-loop system is asymptotically stable. Finally, based on the parameter values, the numerical simulations are performed to validate the derived theoretical results.

Inspec keywords: power generation control; sampled data systems; actuators; Lyapunov methods; fuzzy control; linear matrix inequalities; fuzzy logic; closed loop systems; asymptotic stability; time-varying systems; delays; control system synthesis; fault tolerant control; wind turbines

Other keywords: signal transmission; Lyapunov–Krasovskii function theory; Takagi–Sugeno fuzzy technique; Nie–Tan fuzzy logic membership; linear matrix inequality constraints; relaxed sufficient condition; Nie–Tan fuzzy method; input delay methodology; sampled-data control; closed-loop system; actuator faults; time delay; sampled-data input; Nie–Tan fuzzy logic controller; variable speed wind turbine model; fault-tolerant control problem; fault-tolerant wind energy conversion systems; time-delay term

Subjects: Stability in control theory; Distributed parameter control systems; Fuzzy control; Algebra; Control of electric power systems; Control system analysis and synthesis methods; Discrete control systems; Wind power plants; Algebra; Time-varying control systems

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