Adaptive Memory-Event-Triggered Static Output Control of T–S Fuzzy Wind Turbine Systems

Yan, Shen; Gu, Zhou; Park, Ju H.; Xie, Xiangpeng

doi:10.1109/tfuzz.2021.3133892

Cited by 59 publications

(45 citation statements)

References 31 publications

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“…However, our MPC controller was computationally heavy and barely fit into the main control loop. An interesting control scheme optimization (event-triggered control scheme) was proposed in [47,48]-future research could check how much processor time could be saved without losing attitude stability.…”

Section: Flight Controller Softwarementioning

confidence: 99%

A Small UAV Optimized for Efficient Long-Range and VTOL Missions: An Experimental Tandem-Wing Quadplane Drone

Okulski

Ławryńczuk

2022

Applied Sciences

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Most types of Unmanned Aerial Vehicle (UAV, drone) missions requiring Vertical-Take-Off-and-Landing (VTOL) capability could benefit if a drone’s effective range could be extended. Example missions include Search-And-Rescue (SAR) operations, a remote inspection of distant objects, or parcel delivery. There are numerous research works on multi-rotor drones (e.g., quadcopters), fixed-wing drones, VTOL quadplanes, or tilt-motor/tilt-wing VTOLs. We propose a unique compact VTOL UAV optimized for long hover and long-range missions with great lifting capacity and manoeuvrability: a tandem-wing quadplane with fixed motors only. To the best of our knowledge, such a drone has not yet been researched. The drone was designed, built, and tested in flight. Construction details, its advantages, and issues are discussed in this research.

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Section: Flight Controller Softwarementioning

confidence: 99%

A Small UAV Optimized for Efficient Long-Range and VTOL Missions: An Experimental Tandem-Wing Quadplane Drone

Okulski

Ławryńczuk

2022

Applied Sciences

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“…The transmission frequency can be adjusted smoothly according to the dynamic characteristics of the system, which can reduce the impact on the system performance caused by the saltation of current data information to a certain extent. This MBDET adaptive fuzzy control design scheme combines the advantages of traditional memory 38 and DETC design strategies 16‐18 providing greater flexibility in balancing system performance and communication bandwidth constraints. According to the model dynamic characteristics of Multi‐UAV attitude systems, a class of nonlinear MASs models with multiple channel inputs of each subsystem are specially established. By estimating the unknown compound parameters of the differential equation, the effect of unknown Backlash‐Like Hysteresis is compensated.…”

Section: Introductionmentioning

confidence: 99%

Robust adaptive dynamic memory‐event‐triggered attitude control for nonlinear multi‐UAVs resist actuator hysteresis

Shao

2023

Intl J Robust & Nonlinear

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SummaryThis article studies the memory‐based dynamic event‐triggered (MBDET) robust adaptive fuzzy control problem for a class of uncertain nonlinear MASs subject to Backlash‐Like Hysteresis. The considered MASs are modeled as a class of nonlinear leader‐following multiagent systems with multiple inputs for each subsystem, which can be used to model multiple multi‐rotor unmanned aerial vehicle (Multi‐UAV) attitude systems. In the framework of backstepping recursive design, the fuzzy approximation technology, the parameter estimation technology, and the first‐order filtering technology are integrated, and an effective fuzzy adaptive control method is proposed, which solves the problems of Backlash‐Like Hysteresis and external disturbances in the system while avoiding the “explosion of complexity”. In order to relieve the communication pressure of Multi‐UAV attitude systems, a novel dynamic memory‐event‐triggered mechanism (DMETM) based on user‐set parameters is developed. Compared with the traditional event‐triggered mechanism, this DMETM has larger triggering time intervals, effectively reduces communication frequency, and has greater flexibility in balancing system performance and communication bandwidth resource constraints. The closed‐loop stability analysis scheme for Multi‐UAV attitude systems is presented by combining the backstepping recursive design technique and Lyapunov stability theory, which proves that closed‐loop stability and tracking performance can be ensured. Finally, the design method is successfully applied to show the effectiveness of the proposed method to solve the dynamic memory‐event‐triggered attitude control problem for nonlinear Multi‐UAVs.

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“…Fortunately, the Takagi-Sugeno (T-S) fuzzy model [7] offers an effective approach to characterize nonlinear systems, which is comprised of a series of local linear systems combined through membership functions. Its favorable model structure motivates the development of system analysis and control synthesis of nonlinear systems and a large body of important results have been published, see, e.g., [8][9][10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Fault estimation and fault tolerant control for interval type-2 Takagi–Sugeno fuzzy systems via membership-function-dependent approach

2022

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This paper investigates the fault estimation (FE)-based fault tolerant control (FTC) technique to achieve the desired control performance for the nonlinear systems suffering from uncertainties, external disturbance and actuator faults using the interval type-2 (IT2) Takagi–Sugeno (T–S) fuzzy model. In this work, an IT2 fuzzy observer is built to simultaneously estimate both the system states and actuator faults, upon which a fault tolerant controller is proposed to guarantee the asymptotical stability of the closed-loop system with a prescribed $$H_{\infty }$$ H ∞ performance level. Considering the bidirectional robustness interactions between the observer and FTC system, an integrated design technique is developed to address observer and FTC units together in one step to realize the required robustness within the whole closed-loop FTC system. By utilizing Lyapunov stability theory combined with the matrix inequality convexification techniques, a membership-function-dependent (MFD) FTC strategy is proposed where the information of membership functions is taken into account in the analysis for relaxation of the stability conditions. Additionally, to offer greater design flexibility and lower implementation cost to the fault tolerant controller, the imperfect premise matching (IPM) scheme is adopted, such that the premise membership functions of the fault tolerant controller can be chosen differently from those of IT2 fuzzy model. Finally, simulation results are provided to validate the effectiveness of the proposed FTC strategy.

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Adaptive Memory-Event-Triggered Static Output Control of T–S Fuzzy Wind Turbine Systems

Cited by 59 publications

References 31 publications

A Small UAV Optimized for Efficient Long-Range and VTOL Missions: An Experimental Tandem-Wing Quadplane Drone

A Small UAV Optimized for Efficient Long-Range and VTOL Missions: An Experimental Tandem-Wing Quadplane Drone

Robust adaptive dynamic memory‐event‐triggered attitude control for nonlinear multi‐UAVs resist actuator hysteresis

Fault estimation and fault tolerant control for interval type-2 Takagi–Sugeno fuzzy systems via membership-function-dependent approach

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