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This paper is aimed at robust control of a Permanent magnet DC motor based actuator used in the control of the inlet swirl valve of a diesel engine. The actuator has uncertainty issues related to parameter identification and variation, and load disturbance. These issues lead to faults in controllers, resulting in poor performance and failure. The actuator has been modeled taking parameter uncertainties...
Two different schemes for Fault Tolerant Control (FTC) based on Adaptive Control, Robust Control and Linear Parameter Varying (LPV) systems are proposed. These schemes include a Model Reference Adaptive Controller for an LPV system (MRAC-LPV) and a Model Reference Adaptive Controller with a H∞ Gain Scheduling Controller for an LPV system (MRAC-H∞ GS-LPV). In order to compare the performance of these...
This paper presents preliminary results regarding the development of a supervision scheme for the attitude control system of a nonlinear satellite model. The main issue concerns the handling of faults affecting the reaction wheels, i.e. how to detect and isolate faults, and how to prevent propagation into failures with potential mission loss as a consequence. Thus, this work investigates the design...
This paper addresses the problem of design a fault detection system for switched systems with unknown inputs. The residual generator based robust fault detection filter (RFDF) will be used, where the switching signal is assumed to be known, and the continuous states will be estimated, resulting a generation of residual signals for each linear model. Dwell-time constraint will be used to ensure the...
Robust fault tolerant attitude stabilization control problem for flexible spacecraft is investigated in this paper. First, a robust controller based on sliding mode control scheme is derived, in which function approximation technique is employed to represent system uncertainties. It is shown that the roll angle, pitch angle and yaw angle can be globally asymptotically stabilized in the presence of...
In this paper, a nonlinear H∞ control is developed for active mass damper systems subject to external perturbation. This robust controller is composed by the sum of a linear term plus a chattering component. The linear term is designed using linear matrix inequality (LMI) theory. Then, the chattering term is added to improve controller performance. Lyapunov theory is invoked to validate our control...
This paper presents a design of fuzzy logic control for 2DOF laboratory helicopter model (Humusoft CE 150) which represents a nonlinear and highly cross-coupled system. The controller is composed of two fuzzy logic controllers for azimuth and elevation controls. The main objective of the paper is to obtain robust and stable controls for wide range of azimuth and elevation angles changing during the...
This paper addresses the robust (in the disturbance de-coupling sense) design problem of fault detection filters for uncertain sampled data systems. The only available signal is the output variable. A novel reduced-order unknown-input observer is proposed such that both the estimation error and the state vector vanish asymptotically, robustly with respect to disturbances affecting the continuous-time...
This paper deals with the problem of fault tolerant actuator network design. Multi criteria based algorithm is proposed to provide a fault tolerant architecture. These criteria are strong redundancy degree and a new criterion based on the number of admissible losses situations. The new criterion, computed for each actuator, guarantees some robustness for operating safety. An oriented graph is used...
This paper presents a systematic design framework for selecting the best sensor set to control an EMS system subject to satisfying a set of complex requirements such as optimum performance, robustness and sensor fault tolerance. The design framework combines the ℋ∞ robust control design, fault tolerance concept and heuristic approaches. The efficacy of the scheme is illustrated via application to...
Predictive Control formulations can be designed with nominal asymptotic stability guarantees, provided that the associated optimization problem is feasible at each sampling time. However, model-plant mismatches, external perturbations or faults may cause the optimization to become infeasible. Such a problem motivates the development of techniques aimed at recovering feasibility without violating hard...
In this paper, a robust fault-tolerant control strategy for constrained multisensor linear systems, subject to sensor faults and in the presence of bounded state and output disturbances is proposed. The scheme verifies that for each sensors-estimator combination, suitable residual variables lie inside pre-computed sets and selects the more appropriate combination based on a chosen criterion. An active...
This paper deals with a convex optimization approach to the problem of robust network-based H∞ control for linear systems connected over a common digital communication network with norm-bounded parameter uncertainties. Firstly, we investigate the effect of both the output quantization levels and the network conditions under static quantizers. Secondly, by introducing a descriptor technique, using...
This paper proposes a fault detection method for hysteretic base-isolation systems. One of the key contributions of this work is a Lyapunov-based restoring force observer that leads to the design of a robust fault detection scheme. The different fault types considered are stiffness and damping variations in the system. The proposed fault estimation method provides a direct estimate of the size and...
In this paper, the problem of robust synchronization and fault detection for a class of master-slave systems subjected to some nonlinear perturbations and mixed neutral and discrete time-varying delays is investigated based on an H∞ performance condition. By introducing a descriptor technique, using Lyapunov-Krasovskii functional and a suitable change of variables, new required sufficient conditions...
In this paper, an observer-based fault detection approach for a class of nonlinear systems is presented, which can be modeled by Takagi-Sugeno (TS) fuzzy models. We propose a sliding mode fuzzy observer that deals with bounded uncertainties in the plant and allows fault estimation based on an equivalent output error injection approach. Furthermore an adaption scheme based on pattern recognition algorithms...
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