Dynamic Analysis and Control System Development for a Laboratory Wind Tunnel

2000 ◽  
Author(s):  
Dean H. Kim ◽  
Martin J. Morris ◽  
Greg M. Leja ◽  
Tyler R. Scarlata ◽  
Stephen R. Wylie
Keyword(s):  
Control System ◽  
Wind Tunnel ◽  
System Dynamics ◽  
Dynamic Analysis ◽  
Mechanical Engineering ◽  
System Development ◽  
Operating Conditions ◽  
Single Input Single Output ◽  
And Control ◽  
Tunnel System

Abstract This paper describes the dynamic modeling and control system development to maintain a constant air speed in the test section of a laboratory wind tunnel. The previous manual operation procedure of this wind tunnel during a typical test with multiple operating conditions had been tedious and awkward at best. The wind tunnel system dynamics have been accurately characterized using single-input, single output (SISO) experimental step responses for specified operating conditions. The implementation of the subsequent control system has improved performance such that this wind tunnel system now can be used like a commercial wind tunnel and both as a classroom instruction tool and as a research tool. This work has been performed by an undergraduate team for the two-semester capstone design course for the Mechanical Engineering Department at Bradley University. This project incorporates many aspects of a mechanical engineer’s education such as mechanical design, sensor selection, software mastery, dynamic analysis, and feedback control implementation. This project also crosses traditional mechanical engineering boundaries because of its connection to the fields of fluid dynamics, system dynamics, and control systems.

Modeling, analysis and control system development for the Italian hydrogen house

2009 ◽  
Vol 34 (4) ◽  
pp. 1638-1646 ◽  
Author(s):  
E.M. Stewart ◽  
A.E. Lutz ◽  
S. Schoenung ◽  
M. Chiesa ◽  
J.O. Keller ◽  
...  
Keyword(s):  
Control System ◽  
System Development ◽  
Modeling Analysis ◽  
And Control

Adaptive Identification and Control for Small Modular Reactors

2011 ◽  
Author(s):  
Daniel G. Cole
Keyword(s):  
Adaptive Control ◽  
Control System ◽  
Adaptive System ◽  
Operating Conditions ◽  
System Stability ◽  
Peak Performance ◽  
Model Matching ◽  
Adaptive Identification ◽  
Control Approach ◽  
And Control

This paper discusses adaptive identification and control (AID&C) techniques to enable automated online identification and control of SMRs. Adaptive system ID allows engineers to rapidly measure system dynamics, calibrate sensors channels, determine loop processes, and quantify actuator authority for the various reactor control loops. Adaptive control can automatically tune these loops and adjust plant processes to optimize conditions for peak performance and power production. Another advantage of the adaptive ID and control approach is that these tools can be used during reactor operation to monitor active and passive components. Adaptive system ID techniques are used to measure loop-transfer characteristics. Presented is a practical approach that uses adaptive model-matching tools to identify the coprime factors of the local loops. This has the advantage over model based approaches since coprime factors can be identified on the real system using real data. Adaptive control enables auto-tuning of controller parameters to meet operational specifications. Using the coprime factors, all controllers that stabilize the plant can be parametrized by a free Q-parameter that can be changed to meet control system objectives and improve performance, and the tuning is performed using adaptive techniques. The controller architecture presented provides several desirable and necessary features: e.g., a default fail-safe mode of operation, stability in the presence of communications failures, guaranteed stability, and robustness. An advantage of the adaptive structure presented here is that control system stability can be guaranteed, even during adaptation by ensuring certain norm conditions on the Q-parameter and estimated plant uncertainty. More importantly, the Q-parameter can be monitored during operation, providing a real-time estimate of the changes in the plant resulting from changes in the reactor itself. This signal monitors the dynamics of each loop, providing information about the reactor from the perspective of the control process. Online monitoring using AID&C can be used to better track control system transients that result in reactor trip, thus avoiding undesirable reactor trips and diversion events. And, there is a potential that the system can better adapt to changing operating conditions during plant transients including load following procedures.

Coherence Analysis and Control of Multi-Exciter Vibration Test System

2013 ◽  
Vol 401-403 ◽  
pp. 1005-1009
Author(s):  
Zheng Tao Yan ◽  
Shao Chun Ding
Keyword(s):  
Control System ◽  
System Development ◽  
Response Spectrum ◽  
Test System ◽  
Partial Coherence ◽  
Vibration Test ◽  
Test Field ◽  
And Control ◽  
Drive Signals ◽  
Test Control

Multi-exciter vibration test control system is the core of the multiple shaker vibration test, and multi-exciter vibration test control technology has become the hot point of vibration test field. Based on coherence principles, the coherence of two exciters control system was tested, the introduction of noise signal reduces the control coherence between the response spectrum and partial coherence between response and the corresponding drive signal. By means of increasing the coherence between drive signals, the control coherence between the response spectrum can be raised and control performance of system can be Improved. The above means could provide technical support for multi-exciter vibration test system development.

Software System Development of Measurement and Control System for a Nonlinear Absorber by Virtual Instrument

2011 ◽  
Vol 188 ◽  
pp. 236-240
Author(s):  
Cong Ling Zhu ◽  
Wei Zhu Jin ◽  
D.R. Ci ◽  
Zhi Gang Ding ◽  
S.T. Wu
Keyword(s):  
Control System ◽  
Virtual Instrument ◽  
System Development ◽  
System Structure ◽  
Software System ◽  
Measurement And Control System ◽  
Nonlinear Absorber ◽  
New Development ◽  
And Control ◽  
Measurement And Control

Measurement and control system is the key equipment for testing and analyzing of the dynamic characteristics for a nonlinear absorber.It is the necessary means of accomplishing to design the rationalization of the nonlinear absorber. This article has conducted the detailed research in the new development of absorber test equipment to the desing of system structure, The constituent of software system, and The process design, and The development of the computer program based on virtual techniques. Debugging and running this software system have shown that the precision and reliability of it have been proved.

Research on Coordinated Simulation of Marine Parallel Stable Platform Based on Adams and Matlab

2013 ◽  
Vol 740 ◽  
pp. 146-151
Author(s):  
Bin Cheng Li ◽  
Xiao Fan Li
Keyword(s):  
Control System ◽  
Dynamic Analysis ◽  
System Design ◽  
Mechanical System ◽  
Parallel Mechanism ◽  
Driving System ◽  
Design And Optimization ◽  
Fundamental Knowledge ◽  
Hydraulic Cylinders ◽  
And Control

In the paper, parallel mechanism is applied to Marine stable platform field. The integrated model,which consists of mechanical system, hydraulic driving system and control system, is established by the software of dynamic analysis of mechanical system (Adams) and Matlab/Simulink. The simulation result shows the decent capability of hydraulic cylinders length tracking, however further improvement can be made. This research provides valuable and fundamental knowledge for the system design and optimization.

scholarly journals Wake behavior and control: comparison of LES simulations and wind tunnel measurements

2019 ◽  
Vol 4 (1) ◽  
pp. 71-88 ◽  
Author(s):  
Jiangang Wang ◽  
Chengyu Wang ◽  
Filippo Campagnolo ◽  
Carlo L. Bottasso
Keyword(s):  
Wind Tunnel ◽  
Wind Turbine ◽  
Wind Farm ◽  
Operating Conditions ◽  
Test Cases ◽  
Near Wake ◽  
Large Eddy ◽  
Control Comparison ◽  
High Turbulence ◽  
And Control

Abstract. This paper applies a large-eddy actuator line approach to the simulation of wind turbine wakes. In addition to normal operating conditions, a specific focus of the paper is on wake manipulation, which is performed here by derating, yaw misalignment and cyclic pitching of the blades. With the purpose of clarifying the ability of LES methods to represent conditions that are relevant for wind farm control, numerical simulations are compared to experimental observations obtained in a boundary layer wind tunnel with scaled wind turbine models. Results indicate a good overall matching of simulations with experiments. Low-turbulence test cases appear to be more challenging than moderate- and high-turbulence ones due to the need for denser grids to limit numerical diffusion and accurately resolve tip-shed vortices in the near-wake region.

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