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.
Aiming at the problem of detection and location when faults of thruster and sensor for autonomous underwater vehicle occur simultaneously, a method of quantitative /qualitative hybrid diagnosis is proposed, combining neural networks technology with dynamic trend analysis technology. Firstly, a fault detection observer model is proposed to achieve the joint estimation of quantity of state and fault...
Operating in complex ocean environment, the condition monitoring and fault diagnosis of sensors have great impact on the safety of autonomous underwater vehicle (AUV). When the sensor soft fault of AUV is detected by the traditional method of observer based on the means of close-loop control and close-loop detection, the sensor measured value with fault information is fed into the input of observer,...
Fault tolerant control (FTC) is one of the key technologies of autonomous underwater vehicle (AUV). Based on the thruster fault description and the generic model control(GMC) method , an active fault-tolerant control method is presented to adapt the condition of the deficient thrust fault for multiple thrusters. Having researched the description style of the thruster faults of the additive faults...
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.