scholarly journals Integrated Fault Estimation and Fault-Tolerant Control for Dynamic Positioning of Ships

2019 ◽  
Vol 2019 ◽  
pp. 1-15
Author(s):  
Xiaogong Lin ◽  
Heng Li ◽  
Anzuo Jiang ◽  
Juan Li
Keyword(s):  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Matching Condition ◽  
High Gain ◽  
Iterative Learning ◽  
Fault Estimation ◽  
Linear Matrix ◽  
Dynamic Positioning ◽  
Control Scheme ◽  
Observer Matching Condition

An integrated fault estimation and fault-tolerant control scheme is developed in this paper for dynamic positioning of ships in the presence of an actuator fault. First, an auxiliary derivative output of dynamic positioning ships is constructed in order to satisfy the so-called observer matching condition, and a high-gain observer is designed to exactly estimate the auxiliary derivative outputs. Then, a fault-tolerant controller is developed for dynamic positioning ships based on the iterative learning observer. By means of Lyapunov–Krasovskii stability theory, it is proved that the proposed fault-tolerant controller is able to estimate the total fault effects and states of ships accurately via the iterative learning observer and also to stabilize the closed-loop system. In addition, the parameter design of the proposed fault-tolerant control system can be conveniently solved in terms of linear matrix inequalities. Finally, simulation studies for dynamic positioning ships with actuator faults are carried out, and the results validate the effectivity of the proposed fault-tolerant control scheme.

scholarly journals Fault-Tolerant Control for Three-Tank System in Case of Sensor Faults

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Mondher Amor ◽  
Taoufik Ladhari ◽  
Salim Hadj Said ◽  
Faouzi M’Sahli
Keyword(s):  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Operating Mode ◽  
High Gain ◽  
Fault Detection And Isolation ◽  
Control Law ◽  
Sensor Faults ◽  
Control Scheme ◽  
Tank System ◽  
Benchmark System

This research paper would be devoted to the application of a fault-tolerant control (FTC) for a benchmark system composed of three interconnected tanks in case of sensor faults. The control scheme includes two blocks: fault detection and isolation (FDI) block and a control law reconfiguration block. The strategy of the FDI method is based on a bank of high gain observers; each of them is constructed to estimate the system state vector. Thus, the diagnostic signal-residuals are generated by the comparison of measured and estimated outputs and the faulty sensor is isolated. The reconfiguration block performs an update of the controller parameters according to the operating mode. The application of this method to a pilot plant demonstrates that the hydrographic system maintains quite performances after sensor faults occurrence.

scholarly journals Adaptive Observer Based Fault Tolerant Control for Sensor and Actuator Faults in Wind Turbines

Sensors ◽  
2021 ◽  
Vol 21 (24) ◽  
pp. 8170
Author(s):  
Jing Teng ◽  
Changling Li ◽  
Yizhan Feng ◽  
Taoran Yang ◽  
Rong Zhou ◽  
...  
Keyword(s):  
Wind Turbines ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Adaptive Observer ◽  
Pole Placement ◽  
Fault Estimation ◽  
Actuator Faults ◽  
Control Scheme ◽  
Adaptive Observers ◽  
Generation Capacity

The installed wind energy generation capacity has been increasing dramatically all over the world. However, most wind turbines are installed in hostile environments, where regular operation needs to be ensured by effective fault tolerant control methods. An adaptive observer-based fault tolerant control scheme is proposed in this article to address the sensor and actuator faults that usually occur on the core subsystems of wind turbines. The fast adaptive fault estimation (FAFE) algorithm is adopted in the adaptive observers to accurately and rapidly located the faults. Based on the states and faults estimated by the adaptive observers, the state feedback fault tolerant controllers are designed to stabilize the system and compensate for the faults. The gain matrices of the controllers are calculated by the pole placement method. Simulation results illustrate that the proposed fault tolerant control scheme with the FAFE algorithm stabilizes the faulty system effectively and performs better than the baseline on the benchmark model of wind turbines.

scholarly journals Fault-tolerant control system for the formation of carbon products

2021 ◽  
pp. 22-29
Author(s):  
Liudmyla Zhuchenko
Keyword(s):  
Control System ◽  
Linear Matrix Inequalities ◽  
Control Method ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Iterative Learning ◽  
Linear Matrix ◽  
Matrix Inequalities ◽  
Unknown Disturbances ◽  
Cyclic Processes

The production of carbon products is largely resource- and energy-intensive. That is why increasing the efficiency of this production is an urgent scientific and practical task, especially in modern conditions of constant growth of energy costs. An effective way to solve this problem is to create a modern process control system, taking into account possible failures of system components. A method for the synthesis of a fault-tolerant control system for the cyclic formation of carbon products has been developed, which takes into account control errors that are caused by malfunctions of controllers under conditions of unknown disturbances. According to the cyclic nature of the technological process under consideration, a control method with iterative learning was used in the synthesis of the control system. This method considers cyclic processes based on a two-dimensional model (2D model). The proposed control algorithm ensures the convergence of the control process with the task both in time and in each work cycle in order to promote the required quality of control even in the event of unknown disturbances and errors in the performance of controllers. The synthesis of the control system is based on the solution of a system of linear matrix inequalities. Based on the combination of a control method with iterative learning and a control method that takes into account failures in controllers, a method of constructing a fault-tolerant control system for the cyclic formation of carbon products has been synthesized to ensure acceptable operation of the control object in abnormal conditions. The control system has been synthesized by solving a system of linear matrix inequalities with the MATLAB software. In the future, it is necessary to consider optimal settings of the proposed control system and examine its effectiveness in comparison with conventional fault-tolerant systems for non-cyclic processes.

Tracking Fault Tolerant Control for Hybrid System: Two-Link Human Arm Application

2019 ◽  
Vol 141 (5) ◽  
Author(s):  
Labidi Islem ◽  
Zanzouri Nadia ◽  
Takrouni Asma
Keyword(s):  
State Feedback ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Estimation Algorithm ◽  
Fault Estimation ◽  
Linear Matrix ◽  
Sensor Faults ◽  
Proportional Integral Derivative ◽  
Human Arm ◽  
Proportional Integral Derivative Control

This paper proposes a novel fault tolerant control (FTC) scheme for a class of hybrid dynamical system (HDS) subject to sensor faults. The corresponding FTC architecture is designed around a reconfiguration mechanism. It aims to compensate the effects of the sensors degradation and maintain satisfactory performances including continuous stability. Moreover, by using the linear matrix inequalities (LMI) approach, a fault estimation algorithm is fulfilled and the compromise between robustness to disturbances and sensitivity to fault is guaranteed. For the sake of trajectory tracking, a combined robust state feedback and proportional-integral-derivative control system is proposed herein. Finally, extensive simulation results conducted on two-link arm system are included to illustrate the efficiency of the designed FTC scheme.

scholarly journals Adaptive Observer-Based Fault-Tolerant Control Design for Uncertain Systems

2015 ◽  
Vol 2015 ◽  
pp. 1-16 ◽  
Author(s):  
Huaming Qian ◽  
Yu Peng ◽  
Mei Cui
Keyword(s):  
Fault Tolerant ◽  
Linear Time ◽  
Fault Tolerant Control ◽  
Estimation Algorithm ◽  
Adaptive Observer ◽  
Fault Estimation ◽  
Linear Matrix ◽  
Linear Time Invariant ◽  
And Performance ◽  
Aircraft Application

This study focuses on the design of the robust fault-tolerant control (FTC) system based on adaptive observer for uncertain linear time invariant (LTI) systems. In order to improve robustness, rapidity, and accuracy of traditional fault estimation algorithm, an adaptive fault estimation algorithm (AFEA) using an augmented observer is presented. By utilizing a new fault estimator model, an improved AFEA based on linear matrix inequality (LMI) technique is proposed to increase the performance. Furthermore, an observer-based state feedback fault-tolerant control strategy is designed, which guarantees the stability and performance of the faulty system. Moreover, the adaptive observer and the fault-tolerant controller are designed separately, whose performance can be considered, respectively. Finally, simulation results of an aircraft application are presented to illustrate the effectiveness of the proposed design methods.

scholarly journals Fault Tolerant Control of Vehicle Lateral Dynamic Using a New Pneumatic Forces Multiple Model

Actuators ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 120
Author(s):  
Imane Abzi ◽  
Mohammed Nabil Kabbaj ◽  
Mohammed Benbrahim
Keyword(s):  
Fault Tolerant ◽  
Longitudinal Velocity ◽  
Fault Tolerant Control ◽  
Small Variation ◽  
Linear Matrix ◽  
Multiple Model ◽  
Control Scheme ◽  
Sufficient Stability ◽  
Vehicle Dynamic Model ◽  
Takagi Sugeno

This paper presents a new accurate multiple model of nonlinear pneumatic lateral forces. The bicycle representation is used in order to build up an easy implemented vehicle dynamic model. Moreover, the Takagi–Sugeno fuzzy approach is applied in order to handle the vehicle model nonlinearities. This structure allows for taking into account the small variation of the vehicle longitudinal velocity. Subsequently, a Fault Tolerant Control strategy that is based on a bank of fuzzy Luenberger observers is proposed. The robustness of the control scheme against external noises is guaranteed by applying H∞ performance. Sufficient stability conditions that are based on Lyapunov method are formulated as Linear Matrix Inequality. Thus, allowing the computation of the observers’ and the controllers’ gains by using MATLAB. Finally, the simulation examples are performed to show the effectiveness of our proposal.

scholarly journals Actuator-Integrated Fault Estimation and Fault Tolerant Control for Electric Power Steering System of Forklift

2021 ◽  
Vol 11 (16) ◽  
pp. 7236
Author(s):  
Xiangxiang Su ◽  
Benxian Xiao
Keyword(s):  
Electric Power ◽  
Fault Tolerant ◽  
Sliding Mode ◽  
Fault Tolerant Control ◽  
Fault Estimation ◽  
Linear Matrix ◽  
Actuator Faults ◽  
Electric Power Steering ◽  
Power Steering ◽  
System States

For the problem of actuator-integrated fault estimation (FE) and fault tolerant control (FTC) for the electric power steering (EPS) system of a forklift, firstly, a dynamic model of a forklift EPS system with actuator faults was established; then, an integrated FE and FTC design was proposed. The nonlinear unknown input observer (NUIO) was proposed to estimate the system states and actuator faults, and an adaptive sliding mode FTC system was constructed based on it. The gain of the observer and controller is obtained by H∞ optimization and one-step linear matrix inequality (LMI) formula operation in order to realize the overall optimal design of an FTC system. Finally, the experimental results show that when actuator failure occurs, the proposed integrated FE and FTC were more accurate than the decentralized design to estimate the system states and the actuator faults. The proposed fault-tolerant controller can more effectively restore the power assist performance of the steering power motor in case of failure and effectively ensure the safety and reliability of the forklift EPS system.

Novel neural observer based fault estimation, reconstruction and fault-tolerant control scheme for nonlinear systems

2021 ◽  
Vol 41 (1) ◽  
pp. 355-386
Author(s):  
Muhammad Taimoor ◽  
Xiao Lu ◽  
Wasif Shabbir ◽  
Chunyang Sheng ◽  
Muhammad Samiuddin
Keyword(s):  
Neural Network ◽  
Nonlinear Systems ◽  
Fault Detection ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
High Gain ◽  
Fault Isolation ◽  
Fault Estimation ◽  
High Gain Observer ◽  
Highly Nonlinear

This research is concerned with the adaptive neural network observer based fault approximation and fault-tolerant control of time-varying nonlinear systems. A new strategy for adaptively updating the weights of neural network parameters is proposed to enhance fault detection accuracy. Lyapunov function theory (LFT) is applied for adaptively updating the learning parameters weights of multi-layer neural network (MLNN). The purpose of using adaptive learning rates to update the weight parameters of MLNN is to obtain the global minima for highly nonlinear functions without increasing the computational complexities and costs and increase the efficacy of fault detection. Results of the proposed adaptive MLNN observer are compared with conventional MLNN observer and high gain observer. The effects of various faults or failures are studied in detail. The proposed strategy shows more robustness to disturbances, uncertainties, and unmodelled system dynamics compared to the conventional neural network, high gain observer and other existing techniques in literature. Fault tolerant control (FTC) schemes are also proposed to account for the presence of various faults and failures. Separate sliding mode control (SMC) based FTC schemes are designed for each observer to ensure stability of the faulty system. The suggested strategy is validated on Boeing 747 100/200 aircraft. Results demonstrate the effectiveness of both the proposed adaptive MLNN observer and the FTC based on the proposed adaptive MLNN compared to the conventional MLNN, high gain observer and other existing schemes in literature. Comparison of the performance of all the strategies validates the superiority of the proposed strategy and shows that the FTC based on proposed adaptive MLNN strategy provides better robustness to various situations such as disturbances and uncertainties. It is concluded that the proposed strategy can be integrated into the aircraft for the purpose of fault diagnosis, fault isolation and FTC scheme for increasing the performance of the system.

scholarly journals Robust qLPV Tracking Fault-Tolerant Control of a 3 DOF Mechanical Crane

2020 ◽  
Vol 25 (3) ◽  
pp. 48
Author(s):  
Francisco-Ronay López-Estrada ◽  
Oscar Santos-Estudillo ◽  
Guillermo Valencia-Palomo ◽  
Samuel Gómez-Peñate ◽  
Carlos Hernández-Gutiérrez
Keyword(s):  
Tracking Control ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Linear Matrix ◽  
Actuator Faults ◽  
Linear Parameter Varying ◽  
Performance Requirements ◽  
Control Scheme ◽  
Control Objective ◽  
Three Degree Of Freedom

The main aim of this paper is to propose a robust fault-tolerant control for a three degree of freedom (DOF) mechanical crane by using a convex quasi-Linear Parameter Varying (qLPV) approach for modeling the crane and a passive fault-tolerant scheme. The control objective is to minimize the load oscillations while the desired path is tracked. The convex qLPV model is obtained by considering the nonlinear sector approach, which can represent exactly the nonlinear system under the bounded nonlinear terms. To improve the system safety, tolerance to partial actuator faults is considered. Performance requirements of the tracking control system are specified in an H∞ criteria that guarantees robustness against measurement noise, and partial faults. As a result, a set of Linear Matrix Inequalities is derived to compute the controller gains. Numerical experiments on a realistic 3 DOF crane model confirm the applicability of the control scheme.

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