Alfvén eigenmode classification based on ECE diagnostics at DIII-D using deep recurrent neural networks

2021 ◽  
Author(s):  
Azarakhsh Jalalvand ◽  
Alan Ali Kaptanoglu ◽  
Alvin Garcia ◽  
Andrew Oakleigh Nelson ◽  
Joseph Abbate ◽  
...  
Keyword(s):  
Parameter Space ◽  
Real Time Control ◽  
Operational Parameter ◽  
Time Control ◽  
Mhd Instabilities ◽  
Steady State Operation ◽  
Plasma Device ◽  
Alfven Eigenmodes ◽  
Potential Damage ◽  
And Control

Abstract Modern tokamaks have achieved significant fusion production, but further progress towards steady-state operation has been stymied by a host of kinetic and MHD instabilities. Control and identification of these instabilities is often complicated, warranting the application of data-driven methods to complement and improve physical understanding. In particular, Alfvén eigenmodes are a class of ubiquitous mixed kinetic and MHD instabilities that are important to identify and control because they can lead to loss of confinement and potential damage to the walls of a plasma device. In the present work, we use reservoir computing networks (RCNs) to classify Alfvén eigenmodes in a large, expert-identified database of DIII-D discharges, covering a broad range of operational parameter space. Despite the large parameter space, we show excellent classification and prediction performance, with an average hit rate of 91% and false alarm ratio of 7%, indicating promise for future implementation with additional diagnostic data and consolidation into a real-time control strategy.

Integrative Modeling Platform for Design and Control of an Adaptive Wind Turbine Blade

2018 ◽  
Author(s):  
Hamid Khakpour Nejadkhaki ◽  
John F. Hall ◽  
Minghui Zheng ◽  
Teng Wu
Keyword(s):  
Simulation Model ◽  
Wind Turbine ◽  
Real Time ◽  
Turbine Blade ◽  
Design Tool ◽  
Real Time Control ◽  
Time Control ◽  
Partial Load ◽  
And Control

A platform for the engineering design, performance, and control of an adaptive wind turbine blade is presented. This environment includes a simulation model, integrative design tool, and control framework. The authors are currently developing a novel blade with an adaptive twist angle distribution (TAD). The TAD influences the aerodynamic loads and thus, system dynamics. The modeling platform facilitates the use of an integrative design tool that establishes the TAD in relation to wind speed. The outcome of this design enables the transformation of the TAD during operation. Still, a robust control method is required to realize the benefits of the adaptive TAD. Moreover, simulation of the TAD is computationally expensive. It also requires a unique approach for both partial and full-load operation. A framework is currently being developed to relate the TAD to the wind turbine and its components. Understanding the relationship between the TAD and the dynamic system is crucial in the establishment of real-time control. This capability is necessary to improve wind capture and reduce system loads. In the current state of development, the platform is capable of maximizing wind capture during partial-load operation. However, the control tasks related to Region 3 and load mitigation are more complex. Our framework will require high-fidelity modeling and reduced-order models that support real-time control. The paper outlines the components of this framework that is being developed. The proposed platform will facilitate expansion and the use of these required modeling techniques. A case study of a 20 kW system is presented based upon the partial-load operation. The study demonstrates how the platform is used to design and control the blade. A low-dimensional aerodynamic model characterizes the blade performance. This interacts with the simulation model to predict the power production. The design tool establishes actuator locations and stiffness properties required for the blade shape to achieve a range of TAD configurations. A supervisory control model is implemented and used to demonstrate how the simulation model blade performs in the case study.

Design and Development of a Multi-Module Deployable Manipulator

1999 ◽  
Author(s):  
Kenneth Wong ◽  
Vinod J. Modi ◽  
Clarence W. de Silva ◽  
Arun K. Misra
Keyword(s):  
Real Time ◽  
Experimental Investigations ◽  
Computationally Efficient ◽  
Real Time Control ◽  
Design And Development ◽  
Time Control ◽  
Dynamics And Control ◽  
Manipulator Design ◽  
A Chain ◽  
And Control

Abstract This paper presents the design and development of a Multi-module Deployable Manipulator System (MDMS) as well as a dynamical formulation for it. The system is designed for experimental investigations aimed at dynamics and control of this variable geometry manipulator by implementing different control algorithms to regulate its performance. The manipulator operates in a horizontal plane and is unique in that it comprises of four modules, each of which has one revolute joint and one prismatic joint, connected in a chain topology. Each module has a slewing link of approximately 20cm length and is capable of extending by 15cm. The manipulator design involves the selection and sizing of actuators, the design of mounting and connecting components, and the selection of hardware as well as software for real-time control. The dynamical model is formulated using an O(N) algorithm, based on the Lagrangian approach and velocity transformations. The O(N) character is computationally efficient permitting real-time control of the system.

Modeling, Model Reduction, and Control of a Hands-Free Two-Wheeled Self-Balancing Scooter

2020 ◽  
pp. 185-202
Author(s):  
Qiong Li ◽  
Wangling Yu ◽  
H. Henry Zhang
Keyword(s):  
Model Reduction ◽  
Large Scale ◽  
Power Transmission ◽  
System Response ◽  
Real Time Control ◽  
Time Control ◽  
Iteration Period ◽  
Synergistic Approach ◽  
Model Reduction Technique ◽  
And Control

Designing a two-wheeled self-balancing scooter involves in the synergistic approach of multidisciplinary engineering fields with mutual relationships of power transmission, mass transmission, and information transmission. The scooter consists of several subsystems and forms a large-scale system. The mathematical models are in the complex algebraic and differential equations in the form of high dimension. The complexity of its controller renders difficulties in its realization due to the limit of iteration period of real time control. Routh model reduction technique is employed to convert the original high-dimensional mathematical model into a simplified lower dimensional form. The modeling is derived using a unified variational method for both mechanical and electrical subsystems of the scooter, and for the electronic components equivalent circuit method is adopted. Simulations of the system response are based on the reduced model and its control design. A prototype is developed and realized with Matlab-Labview simulation and control environment.

scholarly journals Teleoperation Control Design with Virtual Force Feedback for the Cable-Driven Hyper-Redundant Continuum Manipulator

2020 ◽  
Vol 10 (22) ◽  
pp. 8031
Author(s):  
Long Qin ◽  
Fanghao Huang ◽  
Zheng Chen ◽  
Wei Song ◽  
Shiqiang Zhu
Keyword(s):  
Force Feedback ◽  
Inverse Kinematic ◽  
Real Time Control ◽  
Kinematics Model ◽  
Time Control ◽  
Virtual Force ◽  
Control Scheme ◽  
Continuum Manipulators ◽  
Transmission Structure ◽  
And Control

Hyper-redundant continuum manipulators present dexterous kinematic skills in complicated tasks and demonstrate promising potential in underground exploration, intra-cavity inspection, surgery, etc. However, the hyper-redundancy, which endows much dexterity and flexibility, brings a huge challenge to the kinematics solution and control of the continuum manipulators. Due to the pseudoinverse calculation of high-order Jacobian matrix or iteration, many inverse kinematic solution approaches of continuum manipulators are very time-consuming, which extremely limit their applicability in real-time control. Additionally, it is often difficult for the manipulators to perform the tasks well in complex scenarios due to lack of human intervention. Therefore, in this paper, a simplified kinematics model of a typical hyper-redundant manipulator is proposed based on its unique geometry relationships, where the mapping relationships between the actuators’ rotation and the end-effector’s position are derived through the analysis of its driving subsystem and motion subsystem, in particular the joint modules. To perform the tasks of manipulators with the help of operators, a teleoperation control scheme with modified wave transmission structure is designed to achieve the guaranteed stability and improved transparency, and the leader’s trajectory and generated force feedback are the transmitted signals in the communication channel. Specifically, a virtual force feedback generation algorithm is developed in the teleoperation control scheme via the processing tracking errors, which can improve the operators’ assistance and perception during the teleoperation process. The practical experiments with comparative wave variable structures in two different sets are implemented to verify the effectiveness of proposed kinematics model and control scheme.

Real time control for reduced aeration and chemical consumption: a full scale study

2010 ◽  
Vol 61 (9) ◽  
pp. 2169-2175 ◽  
Author(s):  
A. Thornton ◽  
N. Sunner ◽  
M. Haeck
Keyword(s):  
Activated Sludge ◽  
Real Time ◽  
Full Scale ◽  
Real Time Control ◽  
Effluent Quality ◽  
Time Control ◽  
Whole Plant ◽  
Running Cost ◽  
The Uk ◽  
And Control

The use of the activated sludge process (ASP) for the nitrification/denitrification of wastewaters is commonplace throughout the UK and many other parts of the industrial world. Associated with this process are significant costs arising from aeration requirements and for selected sites, the need to provide an external carbon source. These costs can constitute up to of 50% of the total running cost of the whole plant and as such, any effort to reduce them could realise significant benefits. This paper investigates the use of real time control (RTC) using online sensors and control algorithms to optimise the operation of the ASP, leading to greater efficiency and sustainability. Trials were undertaken at full scale to assess the benefit of such a system at a 250,000 population equivalent (PE) works on the south coast of the UK, using Activated sludge model No.1 (ASM 1) as a basis for the control system. Initial results indicate that it is possible to significantly reduce both aeration and chemical consumption costs whilst still delivering the required effluent quality. Over the trial period the aeration requirements were consistently reduced by 20% whereas, a reduction in methanol consumption of in excess of 50% was observed.

The Development of an Experimental Force Feedback Dynamometer to Investigate the Real Time Control of an Oscillating Wave Surge Converter

2013 ◽  
Author(s):  
Daniel Banks ◽  
Jos van ’t Hoff ◽  
Kenneth Doherty
Keyword(s):  
Force Feedback ◽  
Position Control ◽  
Experimental Testing ◽  
Control Strategies ◽  
Small Scale ◽  
Real Time Control ◽  
Time Control ◽  
Scale Models ◽  
Damping Torque ◽  
And Control

An Oscillating Wave Surge Converter (OWSC) is a Wave Energy Converter (WEC) that consists of a bottom-hinged flap which oscillates due to wave action. Extensive research has been performed on this type of WEC through small scale experimental wave tank tests. One of the key challenges of experimental testing is replicating the characteristics of the Power Take-Off (PTO) system of the equivalent full scale WEC. Many scale models rely on simplified mechanical designs to simulate a PTO system. This can often restrict the experimental research into the influence of PTO design and control strategies of WECs. In order to model PTO systems and control strategies more accurately other tools are needed. This paper describes the design and build of a PLC controlled Force Feedback Dynamometer (FFD) system that enables the testing of more sophisticated control strategies applicable to an OWSC through fast application of a variable PTO damping torque. A PLC system is shown to be a viable control for PTO strategy investigations through velocity triggered damping levels. Examples of both PTO and position control strategies are presented.

Evaluation of upgrading a full-scale activated sludge process integrated with floating biofilm carriers

2014 ◽  
Vol 70 (10) ◽  
pp. 1594-1601 ◽  
Author(s):  
Shijian Ge ◽  
Yunpeng Zhu ◽  
Shuang Qiu ◽  
Xiong Yang ◽  
Bin Ma ◽  
...  
Keyword(s):  
Feeding Rate ◽  
Control Strategies ◽  
Treatment Plant ◽  
Oxygen Demand ◽  
Full Scale ◽  
Real Time Control ◽  
Aeration Time ◽  
Time Control ◽  
Aeration System ◽  
And Control

This study evaluated the performance of a full-scale upgrade of an existing wastewater treatment plant (WWTP) with the intermittent cyclic extended aeration system (ICEAS), located in Qingdao, China. The ICEAS system was not able to meet effluent standards; therefore, a series of modifications and control strategies were applied as follows: (1) floating plastic carriers were added to the tank to aid biofilm formation; (2) operation parameters such as mixing and aeration time, feeding rate, and settling time were adjusted and controlled with a real-time control system; (3) a sludge return system and submersible water impellers were added; (4) the aeration system was also improved to circulate carriers and prevent clogging. The modified ICEAS system exhibited efficient organic and nutrient removal, with high removal efficiencies of chemical oxygen demand (89.57 ± 4.10%), NH4+-N (95.46 ± 3.80%), and total phosphorus (91.90 ± 4.36%). Moreover, an annual power reduction of 1.04 × 107 kW·h was realized as a result of these modifications.

scholarly journals Multi-Agents Architecture for Scheduling and Control of Robotic Manufacturing Systems

2002 ◽  
Vol 7 (1) ◽  
pp. 177
Author(s):  
Brahim Bouzouia
Keyword(s):  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Prototype System ◽  
Multi Agent Systems ◽  
Real Time Control ◽  
Distributed Intelligence ◽  
Time Control ◽  
Multi Agent ◽  
And Control ◽  
Multi Agents

This paper presents an  innovative Multi-Agent approach related to an advanced real time control  of flexible manufacturing systems. The proposed architecture is based on the paradigm of Distributed Intelligence and Multi-Agent Systems. The developed  Multi-Agent prototype system integrates  the following functions: Scheduling, dispatching, monitoring and error handling. A new negotiation protocol for manufacturing systems is presented in this paper. The purpose of this protocol is to assign dynamic operations to the resources of the Manufacturing System in order to accomplish the proposed tasks. This protocol is able to deal with exceptions.  

scholarly journals PC Based Real Time Control of DC Motor

2018 ◽  
Vol 4 (2) ◽  
pp. 66
Author(s):  
Mohamad Fauzi Radsanjani ◽  
Dwi Astharini
Keyword(s):  
Real Time ◽  
Real Data ◽  
Dc Motor ◽  
Real Time Control ◽  
Matlab Simulink ◽  
Final Project ◽  
Time Control ◽  
Speed Sensor ◽  
And Control ◽  
Monitor And Control

<p><em>Abstract</em><strong> – This final project report present a Pc based real time control of DC motor. Real time control systems can be defined as a technology which is related to mechanical application, electronic, and computer-based systems. In general, the equipment that is often used for controlling speed system is Arduino Mega 2560, DC motor, motor driver IC L298N, speed sensor IC LM393, and voltage sensor. Software in the system I used Matlab Simulink to monitor and control the speed of dc motor will show real data, they are displayed in signal RPM and signal Voltage, Matlab Simulink is used program to let the operator operates the system well. This monitor and control system can improve the effectiveness and efficiency in various industrial fields.</strong></p><p><strong> </strong></p><p><strong><em>Keyword –</em></strong><strong> </strong><em>PC, Real Time, Control, DC Motor</em></p><p><em> </em></p>

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