Dependable power extraction in wind turbines using model predictive fault tolerant control

Ghanbarpour, Kamyar; Bayat, Farhad; Jalilvand, Abolfazl

doi:10.1016/j.ijepes.2019.105802

Cited by 28 publications

(11 citation statements)

References 43 publications

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“…[4]- [6] describe in detail the application process of MPC in industrial process control such as petroleum smelting and chemical industry. Meanwhile, MPC has also been used in large machineries, such as wind power generator [7] and heavy duty diesel engine [8]. [9], [10] give a detailed derivation process on the improvement and robustness of the MPC algorithm from a theoretical point of view.…”

Section: Introductionmentioning

confidence: 99%

Explicit Model Predictive Based Fault Tolerant Control for Turboshaft Engine System

Wang

Yang

2022

IEEE Access

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In order to tackle the faults of turboshaft engine-rotor systems and the real time implementation difficulty of traditional model predictive control methods, an explicit model predictive (EMPC) fault-tolerant control algorithm is designed based on an active fault-tolerant control scheme that implicitly detects the faults and adjusts the control law online. The proposed real time control algorithm can achieve good control command tracking performance and, at the same time, guarantee limit protection of turboshaft enginerotor system. Firstly, to start with the algorithm, a dynamic system model library and a fault monitoring mechanism are established, in which the dynamic system model library contains sets of piecewise affine models (PWA) of normal engine mode and modes with faults. Secondly, the EMPC fault-tolerant controller is derived and designed for each sub-model in the modes of dynamic model library. Through the transformation and derivation of the traditional model predictive controller of turboshaft engine-rotor system, the explicit solution of its fault-tolerant controller is obtained. With the explicit solution which is in the form of state feedback control for each partition, controller gains can be designed off-line. Finally, the online engine control process is completed by searching the corresponding controller gain based on engine state, which improves the real-time performance of the control system. The effectiveness of the method for engine systems with modeled or un-modeled compressor faults and the robustness of the algorithm are verified by simulations.

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Section: Introductionmentioning

confidence: 99%

Explicit Model Predictive Based Fault Tolerant Control for Turboshaft Engine System

Wang

Yang

2022

IEEE Access

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“…Among them, fault detection and isolation (FDI) methods play a pivotal role in making the process reliable. The sensor and actuator faults are known as the most frequent faults that occur in many control systems such as satellite/aircraft [1,2], wind turbines [3,4], vehicles suspension system [5,6], offshore platforms [7], motor drives [8], power systems, and renewable energies [9,10]. In the event of a fault occurrence, the reliability and efficiency of the system are severely affected, and thus, the fault reconstruction is an important issue in the context of FDI approaches, and various types of research have been done in this field.…”

Section: Introductionmentioning

confidence: 99%

Generalized Sliding Mode Observers for Simultaneous Fault Reconstruction in the Presence of Uncertainty and Disturbance

et al. 2022

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In this paper, a generalized sliding mode observer design method is proposed for the robust reconstruction of sensors and actuators faults in the presence of both unknown disturbances and uncertainties. For this purpose, the effect of uncertainty and disturbance on the system has been considered in generalized state-space form, and the LMI tool is combined with the concept of an equivalent output error injection method to reduce the effects of them on the reconstruction process. The upper bound of the disturbance and uncertainty are minimized in the design of the sliding motion so that the reconstruction of the faults will be minimized. The design method is applied for actuator faults in the generalized state-space form, and then with some suitable filtering, the method extends as sensors and actuators coincidentally faults. Since in the proposed approach, the state trajectories do not leave the sliding manifold even in simultaneous sensors and actuators faults, then the faults are reconstructed based upon information retrieved from the equivalent output error injection signal. Due to the importance of the robust fault reconstruction in the wind energy conversion system (WECS), the proposed approach is successfully applied to a 5 MW wind turbine system. The simulation results verify the robust performances of the proposed approach in the presence of unknown perturbations and uncertainties.

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“…The FTC based MPC system design methods are similarly categorized in two cases: passive and active types. In passive cases [16], the faults that are known, are compensated by coping the extra constraints in MPC design. On the other hand, in active approaches, MPC can be reconfigured by using the received fault information [17].…”

Section: Introductionmentioning

confidence: 99%

A New Active Fault Tolerant Control System: Predictive Online Fault Estimation

Bavili

Mohammadzadeh²,

Tavoosi

et al. 2021

IEEE Access

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This study presents a new approach for active fault-tolerant controller (FTC) design for constrained nonlinear multi-variable systems. The proposed approach utilize the nonlinear model predictive controller (NMPC) and fault estimation method which is on basis of extended kalman filters (EKFs). The deficiency of actuators and sensors and also the plant states measurement errors are estimated by the suggested approach. A supervisor unit using the fault information and fault modeling per sampling time, corrects the predictor model of the controller and compensates actuator and sensor faults in control system. Furthermore, by the presented feedback compensation, the robustness of the designed method against plant faults and uncertainties is ensured. The important advantages of the proposed method are:(1) The suggested FTC scheme based on NMPC leads to calculate more accurate control action than MPC in nonlinear processes, (2) it is comprehensive in fault accommodation point of view because it is able to compensate all types of faults in control systems simultaneously, (3) it has low computational cost because of using NMPC by analytical solution, (4) it can handle control and states constraints to prevent of actuator saturations and unsafe situations, (5) the simplicity and effectiveness of the designed FTC scheme for real applications is more significant. Simulation results on continuous stirred tank reactor process verifies the superiority and capability of the designed approach.

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Dependable power extraction in wind turbines using model predictive fault tolerant control

Cited by 28 publications

References 43 publications

Explicit Model Predictive Based Fault Tolerant Control for Turboshaft Engine System

Explicit Model Predictive Based Fault Tolerant Control for Turboshaft Engine System

Generalized Sliding Mode Observers for Simultaneous Fault Reconstruction in the Presence of Uncertainty and Disturbance

A New Active Fault Tolerant Control System: Predictive Online Fault Estimation

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