Control reconfiguration

About: Control reconfiguration is a research topic. Over the lifetime, 22423 publications have been published within this topic receiving 334217 citations.

A Fast Nondominated Sorting Guided Genetic Algorithm for Multi-Objective Power Distribution System Reconfiguration Problem

Abstract: Distribution system reconfiguration (DSR) is a multi-objective, nonlinear problem. This paper introduces a new, fast, nondominated sorting genetic algorithm (FNSGA) for the purpose of solving the DSR problem in normal operation by satisfying all objectives simultaneously with a relatively small number of generations and relatively short computation time. The objectives of the problem are to minimize real power losses and improve the voltage profile and load balancing index with minimum switching operations. Instead of generating several ranks from the nondominated set of solutions, this algorithm deals with only one rank; then the most suitable solution is chosen according to the operator's wishes. If there is no preference and all objectives have the same degree of importance, the best solution is determined by simply considering the sum of the normalized objective values. Also, a guided mutation operation is applied instead of a random one to speed up convergence. Radial system topology is satisfied using graph theory by formulating the branch-bus incidence matrix (BBIM) and checking the rank of each topology. To test the algorithm, it was applied to two widely studied test systems and a real one. The results show the efficiency of this algorithm as compared to other methods in terms of achieving all the goals simultaneously with reasonable population and generation sizes and without using a mutation rate, which is usually problem-dependent.

Detection delays, false alarm rates and the reconfiguration of control systems

Abstract: Systems like unstable aircraft or large space structures are inherently vulnerable to failure of components and their reliability has to be improved through fault-tolerant control: given a set of redundant components, the failed element is diagnosed by a failure detection and isolation (FDI) device and its influence is removed through a reconfiguration of the control algorithms. Performance requirements are then usually expressed in terms of a short detection delay and a low false alarm rate for the FDI function and, for example, stability of the reconfigured system. Linear systems subject to random jumps in parameter values are used to analyse the dynamic behaviour of a fault-tolerant control system and it is found that even a short detection delay and/or a low false alarm rate, when fedback in a reconfigurable control loop, significantly affect stability.

Expert supervision of fuzzy learning systems for fault tolerant aircraft control

Abstract: In this paper, we begin by showing that the fuzzy model reference learning controller (FMRLC) can be used to reconfigure the nominal controller in an F-16 aircraft to compensate for various actuator failures without using explicit failure information. Next, we show that the performance of the FMRLC can be significantly enhanced by exploiting failure detection and identification (FDI) information to achieve a "performance adaptive" system that seeks an appropriate performance level depending on the type of failure that occurred. We develop an expert supervision strategy for the FMRLC that uses only information about the time at which a failure occurs and show that it achieves higher performance control reconfiguration than an unsupervised FMRLC. In addition we show that similar performance can be achieved if we only use estimates of the failure time and magnitude obtained from a fuzzy estimator. We close our study with a brief assessment of the advantages and disadvantages of the approaches used in this paper. >

Robust Integrated Flight Control Design Under Failures, Damage, and State-Dependent Disturbances

Abstract: Ar obust integrated fault-tolerant flight control system is presented that accommodates different types of actuator failures and control effector damage, even while rejecting state-dependent disturbances. It is shown that a decentralized failure detection, identification, and reconfiguration system, combined judiciously with adaptive laws for damage estimates and variable structure adjustment laws for disturbance estimates, yields a stable system despite simultaneous presence of failures, damage and disturbances. The proposed system is well suited for the case of first-order actuator dynamics. The properties of the proposed algorithms are illustrated on a medium-fidelity nonlinear simulation of Boeing’s Tailless Advanced Fighter Aircraft.

An Actuator Failure Tolerant Control Scheme for an Underwater Remotely Operated Vehicle

Abstract: This paper proposes an actuator fault-tolerant control scheme, composed of the usual modules performing detection, isolation, accommodation, designed for a class of nonlinear systems, and then applied to an underwater remotely operated vehicle (ROV) used for inspection purposes. Detection is in charge of a residual generation module, while a sliding-mode-based approach has been used both for ROV control and fault isolation, after the application of an input decoupling nonlinear state transformation to the ROV model. Finally, control reconfiguration is performed exploiting the inherent redundancy of actuators. An extensive simulation study has been also performed, supporting the effectiveness of the proposed approach.