Open Access. Powered by Scholars. Published by Universities.®

Engineering Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 7 of 7

Full-Text Articles in Engineering

Towards Real-Time Reinforcement Learning Control Of A Wave Energy Converter, Enrico Anderlini, Salman Husain, Gordon Parker, Mohammad Abusara, Giles Thomas Nov 2020

Towards Real-Time Reinforcement Learning Control Of A Wave Energy Converter, Enrico Anderlini, Salman Husain, Gordon Parker, Mohammad Abusara, Giles Thomas

Michigan Tech Publications

The levellised cost of energy of wave energy converters (WECs) is not competitive with fossil fuel-powered stations yet. To improve the feasibility of wave energy, it is necessary to develop effective control strategies that maximise energy absorption in mild sea states, whilst limiting motions in high waves. Due to their model-based nature, state-of-the-art control schemes struggle to deal with model uncertainties, adapt to changes in the system dynamics with time, and provide real-time centralised control for large arrays of WECs. Here, an alternative solution is introduced to address these challenges, applying deep reinforcement learning (DRL) to the control of WECs …


Research On Attitude Controller Based On Modified Adaptive Robust Sliding Mode In Low-Flying, Yunjie Wu, Chuang Song, Jingxing Zuo Aug 2020

Research On Attitude Controller Based On Modified Adaptive Robust Sliding Mode In Low-Flying, Yunjie Wu, Chuang Song, Jingxing Zuo

Journal of System Simulation

Abstract: Regarding inertia uncertainties, external disturbances and severe nonlinear coupling factors among the three channels including pitching, yawing and rolling at low-flying, controller design of wide adaptability could quickly and precisely realize the spacecraft attitude tracking control in a limited time. Based on the nonlinear model of the aircraft attitude, a kind of modified controllers was designed based on a robust adaptive sliding mode controller in the finite time convergence among three channels, the controller is continuous and differentiable. The adaptive controller was improved to stop a large controller output. Simulation results show that the designed attitude controller can …


Uas Model Identification And Simulation To Support In-Flight Testing Of Discrete Adaptive Fault-Tolerant Control Laws, Mansi Subhash Bakori Aug 2020

Uas Model Identification And Simulation To Support In-Flight Testing Of Discrete Adaptive Fault-Tolerant Control Laws, Mansi Subhash Bakori

Doctoral Dissertations and Master's Theses

In mission-critical applications of unmanned and autonomous aerial systems(UAS), it is of significant importance to develop robust strategies for fault-tolerant systems that can countermeasure system degradation and consequently support the integration into the National Airspace (NAS). This thesis research illustrates the results of systems identification that is performed using DATCOM followed by the flight test data. This data is acquired from conducting an intensive flight testings program of a fixed-wing UAS to determine the state-space model of the aircraft. A discrete state-space system is reconstructed from these models to derive Auto-Regressive Moving-Average (ARMA) models used to design a Discrete Direct …


Procedure Formalization For Constructing An Adaptive Control System With A Reference Model Based On The Lyapunov Function, Tulkin Vafoqulovich Botirov Jul 2020

Procedure Formalization For Constructing An Adaptive Control System With A Reference Model Based On The Lyapunov Function, Tulkin Vafoqulovich Botirov

Chemical Technology, Control and Management

Discusses the formalization of the procedure for constructing an adaptive control system with a reference model based on the Lyapunov function. It is shown that the asymptotic stability of the extended system of differential equations guarantees accurate tracking of the desired output signal of the model. At the same time, the expediency of analyzing the asymptotic stability of the system in extended space using the Lyapunov function is shown. The above algorithms help to stabilize the computational matrix inversion procedure and thereby increase the accuracy of estimating the adjustable parameter in an adaptive control system.


A Mechanism Of Qos Differentiation Based On Offset Time And Adjusted Burstlength In Obs Networks, Viet Minh Nhat Vo, Trung Duc Pham, Thanh Chuong Dang, Van Hoa Le Jan 2020

A Mechanism Of Qos Differentiation Based On Offset Time And Adjusted Burstlength In Obs Networks, Viet Minh Nhat Vo, Trung Duc Pham, Thanh Chuong Dang, Van Hoa Le

Turkish Journal of Electrical Engineering and Computer Sciences

Quality of service (QoS) differentiation is an integral component of any networking system, particularly, with the current and future great diversity of users? applications and their manifold requirements. In optical burst switching (OBS) networks, there are two approaches for QoS differentiation: one is based on offset time and the other is based on burst length. This paper presents a mechanism of QoS differentiation based on both offset time and burst length, in which the offset times are calculated to achieve a complete isolation of data loss between priority classes and the burst length is adaptively adjusted according to the feedbacked …


Nonlinear Adaptive Semiactive Control Of A Half-Vehicle Model Via Hardware In The Loop Simulation, Mahmut Paksoy, Muzaffer Meti̇n Jan 2020

Nonlinear Adaptive Semiactive Control Of A Half-Vehicle Model Via Hardware In The Loop Simulation, Mahmut Paksoy, Muzaffer Meti̇n

Turkish Journal of Electrical Engineering and Computer Sciences

In this study, vehicle body vibrations are semiactively controlled using a nonlinear adaptive controller designed to improve passenger comfort by guaranteeing closed loop system stability under variable road disturbances with parametric uncertainty. Semiactive vibration control is implemented to the system through the magnetorheological damper. The MR damper test system is established in laboratory conditions, and the required values that are measured from the test system are used in computer simulations via the hardware in the loop simulation (HILS) method. By this way, it is possible to avoid the financial and other difficulties of the experimental study by establishing the test …


Adaptive Fast Sliding Neural Control For Robot Manipulator, Bariş Özyer Jan 2020

Adaptive Fast Sliding Neural Control For Robot Manipulator, Bariş Özyer

Turkish Journal of Electrical Engineering and Computer Sciences

Robotic manipulators are open to external disturbances and actuation failures during performing a task such as trajectory tracking. In this paper, we present a modifed controller consisting of a global fast sliding surface combined with an adaptive neural network which is called adaptive fast sliding neural control (AFSNC) for a robotic manipulator to precise stable trajectory tracking performance under the external disturbances. The adaptive term is employedtoreduce uncertainties due to unmodeled dynamics. Trackingerror asymptoticallyconvergesto zero according to the Lyapunov stability theorem. Numerical examples have been carried on a planar two-links manipulator to verify the control approach efficiency. The experimental results …