The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Significant research has been carried out over the past three decades in the area of fault tolerant control. Most methods available in the chemical engineering literature are capable of detecting, identifying, estimating and accommodating faults for nonlinear processes with continuous states without state dependent and controlled switching. This work is aimed at developing a method for diagnosing...
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, 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...
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...
This paper presents a fault tolerant multisensor strategy for feedback control of a class of nonlinear systems upon a geometrical approach. A key point to ensure fault tolerance is the separation between healthy and faulty closed-loop behavior. Here we achieve this through set theoretic operations upon sets describing the healthy/faulty behavior of the system. The results rely both on an appropriate...
Most of the existing active control methodologies need a post-fault/failure model of the faulty process for online retuning the controller parameters, or reconfiguration. However, post-fault model identification process takes the precious post-fault time which delays the recovery procedure. A new data-driven fault tolerant model predictive control (MPC) is developed which does not need the post-fault...
This paper deals with a nonlinear model predictive control designed for a boiler unit. The predictive controller is realized by means of a recurrent neural network which acts as an one-step ahead predictor. Then, based on the neural predictor, the control law is derived solving an optimization problem. Fault tolerant properties of the proposed control system are investigated. A set of 12 faulty scenarios...
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 work compares the use of direct torque and flux control (DTFC) and model predictive control (MPC) for induction motor (IM) control. These two strategies are fundamentally different in operation since (i) DTFC decides the current control action based on a switching table constructed using a simplified model of the IM, whereas (ii) MPC decides the current control action by on-line minimization...
In this paper, a fault tolerant control method based on the parametric estimation is presented and applied to the air path system of a diesel engine. This method uses directly the results of a parametric estimation of the system which is nonlinear and whose state variables and parameters are strongly coupled. Our goal is to adapt an Unconstrained Nonlinear Continuous-time Generalized Predictive Control...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.