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This paper aims to present an enhanced method for estimating fuel quality on a BioGrate combustion process and its use in a control strategy improvement. The dynamic model based method (DMBM) utilizes combustion power which is calculated using the oxygen consumption of the furnace and the energy balance of the boiler. The proposed method is tested with data from the industrial scale Biopower 5 CHP...
This work focuses on fault detection applied to static converters. A new method for estimating parameters of dynamic model of the buck converter is proposed, based on recent algebraic parameters estimators. The diagnosis scheme developed in this paper computes online the filter capacitor aging by determining the equivalent series resistance (ESR). The capacitance and inductance value are also estimated...
This paper describes an innovative concept for an advanced monitoring, control and diagnosis system for pumps. According to leading experts about 20% of the electrical energy used in industry is used for pumps and about 30% of this energy could be saved if intelligent control systems would be applied. In spite of this fact, currently very often no control at all is used. The causes for this low application...
In this paper, the sliding mode approach is used to control of a quadrotor unmanned aerial vehicle (UAV) in the presence of external disturbance and actuator fault. Fault detection unit can detect the actuator fault using a state estimator. Then it reconfigures the structure of controller such that some control performance is achieved. The proposed control structure has the advantage of disturbance...
In this paper, we present a multiple-model based method of analyzing for the longitudinal controller performance loss caused by actuator faults in the aircraft elevator system. More specifically, we consider the effects of the failure-induced elevator actuator bandwidth reduction integrated with the longitudinal flight dynamics. Results of the proposed multiple-model based fault detection, isolation,...
In this paper, an approach to design an Admissible Model Matching (AMM) Fault Tolerant Control (FTC) based on Linear Parameter Varying (LPV) techniques is proposed. The main contribution of the proposed approach consists in the on-line reconfiguration of the controller based on the use of LPV gain-scheduling techniques that allow to take into account changes in the system parameters due to changes...
In this paper, we propose a fault adaptation approach using reference governor. The reference governor unit is a reference-offset governor based on discrete-time predictive control strategy. The idea is to modify the reference according to the systems constraints which become more strict after actuator fault occurrence. The effectiveness of the proposed method has been illustrated using a numerical...
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...
This paper proposes a fault-tolerant control strategy for a nonlinear electro-hydraulic system. The fault-tolerant control scheme consists a fault diagnosis system and a reconfigurable controller. The fault diagnosis system is designed based on differential-geometric approach and is robust to system disturbance. Adaptive backstepping method is utilized for realizing the reconfigurable controller....
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 investigates the disturbance rejection problem of nonlinear MAGnetic LEViation (MAGLEV) suspension system with “mismatching” disturbances. Here “mismatching” refers to the disturbances that enter the system via different channel to the control input. The disturbance referring in this paper is mainly on load variation and unmodeled nonlinear dynamics. By linearizing the nonlinear MAGLEV...
In this paper, we present an overall study focused on the modeling, identification and control of the Pierburg mechatronic actuator. This actuator is used in the BMW M57 diesel engine to control all the air which are charged and entered in the vehicle engine. The obtained model from the identification procedure is sufficiently closer to the practical actuator behavior and captures most of its characteristics...
This paper discusses fault detection and isolation for continuous-time systems using B-Splines and the notion of differential flatness. The idea is, from the system's flat outputs (which are obtained directly from measurement or from an observer), we algebraically produce every other measured signal, including the inputs. The corresponding signals are then compared. In nominal condition, a measured...
This paper deals with the fault detection occurred in the mechanical position sensor of a mechatronic actuator Pierburg which is used in the BMW M57 diesel engine. This actuator is in charge of the control of the input air in the vehicle engine. Concretely, it is located between the throttle valve and the combustion chamber. It is supposed to ensure the control of air flow entering to the cylinder...
This paper provides an adaptation algorithm for the control of complex system via recurrent neural networks. The proposed method is derived from RTRL algorithm. Neural emulator and neural controller parameters are one-line updated independently. To illustrate the tracking and the disturbance rejection capabilities of the real time control algorithm and the efficiency of the networks parameters relaxation,...
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...
Characteristic features of feedforward artificial neural networks, acting as universal function approximators, are presented. The problem under consideration concerns inverse kinematics of a two-link planar manipulator. As shown in the article, a two-layer, feedforward neural network is able to learn the nonlinear mapping between the end-effector position domain and the joint angle domain of the manipulator...
This paper presents an identification method of Multi-Input Multi-Output (MIMO) dynamic systems based on the Group Method of Data Handing. In particular, a new structure of the dynamic neuron is proposed. The synthesis of the neural model is performed with the application of the pole estimation approach. The final part of this work contains an illustrative example regarding the application of the...
The problem of infinite-horizon H∞ state-feedback tracking for linear continuous time-invariant retarded systems with stochastic parameter uncertainties is investigated. We consider the case where the reference signal is previewed in a fixed time-interval ahead. The stochastic uncertainties appear in the dynamics matrices for both the retarded and the non retarded states of the system. The delayed...
The paper addresses the problem of designing a robust fault detection filter (RFDF) for a class of nonlinear descriptor systems whose nonlinear term are globally Lipschitz and linear term described by a linear parameter varying (LPV) form. The influence of perturbations on the residuals is minimized using the H∞ norm while the sensitivity performance is guaranteed using the H∞ index. Based on the...
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