scholarly journals H^∞ STRUCTURAL CONTROL DESIGN CONSIDERING SELECTION OF DESIGN CRITERIA AND CONTROLLER REDUCTION

1994 ◽  
Vol 59 (462) ◽  
pp. 21-29 ◽  
Author(s):  
Nariyasu YAMADA ◽  
Akira NISHITANI
Keyword(s):  
Structural Control ◽  
Control Design ◽  
Design Criteria ◽  
Selection Of

Consideration of plant uncertainties in the optimum structural-control design

AIAA Journal ◽  
1994 ◽  
Vol 32 (3) ◽  
pp. 610-615 ◽  
Author(s):  
N. S. Khot ◽  
S. A. Heise
Keyword(s):  
Structural Control ◽  
Control Design

scholarly journals Application of analytic hierarchy process to evaluate design criteria for humane trap cage.

2020 ◽  
Vol 4 (2) ◽  
pp. 30-35
Author(s):  
Sivajothi Paramasivam ◽  
Hari Krishnan Munisamy ◽  
Santhansamy Rayappan
Keyword(s):  
Analytic Hierarchy Process ◽  
Low Cost ◽  
Quality Criteria ◽  
Design Criteria ◽  
Animal Population ◽  
Chronic Infections ◽  
Analytic Hierarchy ◽  
The Public ◽  
Hierarchy Process ◽  
Selection Of

Atrocities against stray animal’s especially large number of scavenging street dogs have increased at an alarming rate nationwide. Relevant authorities, in view of controlling stray animal population and curb chronic infections mulled cracking down on stray dogs using inhumane methods such as usage of tranquilizers or forcefully capturing. Thus, causing injuries, trauma and potentially death to these captured strays. Even though statistics about the number of violent incidents against strays remains unknown but animal welfare groups report constant complaints regarding animal cruelty. Animal activists mooted a request to design and built a modernize efficient yet low cost trap cage with a provision of technology which are normally ignored by many quarters; as a vehicle to educate the public on humane and compassionate ways to treat stray animals.   The design of the cage involves consists of 3 parts, which was electronics hardware, communication system and critically the structure hardware whereby to withstand the possible aggressiveness of the animal. The objective of this paper is to present and apply the techniques of the analytic hierarchy process (AHP) in the prioritization and selection of design criteria of the trap cage. The finding shows that out of 5 design criteria, quality criteria is the most important criteria in designing of a humane trap cage issue. This is followed by innovativeness, cost, safety and aesthetics factors.

Advanced Control Design, Optimal Sensor Placement, and Technology Demonstration for Small and Medium Nuclear Power Reactors

2009 ◽  
Author(s):  
B. R. Upadhyaya ◽  
S. R. P. Perillo ◽  
X. Xu ◽  
F. Li
Keyword(s):  
Fault Diagnosis ◽  
Nuclear Power ◽  
Sensor Placement ◽  
Control Design ◽  
Control Mode ◽  
Control Technique ◽  
Design Criteria ◽  
Control Loop ◽  
Control Actions ◽  
On Line

The efficient and safe performance of nuclear power plants of the future requires remote monitoring, control, and condition-based maintenance in order to maximize their capacity factor. Small and medium reactors, in the 50–500 MWe power range, may become commonplace for certain applications, with a design features for remote deployment. Such a reactor may be part of a smaller electrical grid, and deployed in areas with limited infrastructure. Typical applications include power generation, process heat for water desalination, and co-generation. There are other considerations in the deployment of these reactors: development of effective I&C to support nuclear fuel security monitoring, longer than normal fuel cycle length, and increased autonomy in plant operation and maintenance. A Model Predictive Controller (MPC) for the IRIS (International Reactor Innovative and Secure) system has been developed as a multivariate control strategy for reactor power regulation and the control of the helical coil steam generator (HCSG) used in IRIS. A MATLAB-SIMULINK model of the integral reactor was developed and used to demonstrate the design of the MPC. The two major control actions are the control rod reactivity perturbation and the steam control valve setting. The latter is used to regulate the set point value of the superheated steam. The MPC technique minimizes the necessity of on-line controller tuning, and is highly effective for remote and autonomous control actions. As an important part of the instrumentation & control (I&C) strategy, sensor placement in next generation reactors needs to be addressed for both control design and fault diagnosis. This approach is being applied to the IRIS system to enhance the efficiency of reactor monitoring that would assist in a quick and accurate identification of faults. This is achieved by solving the problem from the fault diagnosis perspective, rather than treating the sensor placement as a pure optimization problem. The solution to the problem of sensor placement may be broadly divided into two tasks: (1) fault modeling or prediction of cause-effect behavior of the system, generating a set of variables that are affected whenever a fault occurs, and (2) use of the generated sets to identify sensor locations based on various design criteria, such as observability, resolution, reliability, etc. The proposed algorithm is applied to the design of a sensor network for the IRIS system using multiple design criteria. This enables the designer to obtain a good preliminary design without extensive quantitative information about the process. The control technique will be demonstrated by application to a real process with actuators and associated device time delays. A multivariate flow control loop has been developed with the objective of demonstrating digital control implementation using proportional-integral controllers for water level regulation in coupled tanks. The controller implementation includes self-tuning, control mode selection under device or instrument fault, automated learning, on-line fault monitoring and failure anticipation, and supervisory control. The paper describes the integration of control strategies, fault-tolerant control, and sensor placement for the IRIS system, and demonstration of the technology using an experimental control loop.

BIOTECHNOLOGY BASED ODOR CONTROL: DESIGN CRITERIA AND PERFORMANCE DATA

2004 ◽  
Vol 2004 (3) ◽  
pp. 289-299
Author(s):  
Chris Easter ◽  
Chris Quigley ◽  
Peter Burrowes ◽  
Jay Witherspoon
Keyword(s):  
Control Design ◽  
Performance Data ◽  
Design Criteria ◽  
Odor Control ◽  
And Performance

A Stochastic Averaging Approach for Feedback Control Design of Nonlinear Systems Under Random Excitations

2002 ◽  
Vol 124 (4) ◽  
pp. 561-565 ◽  
Author(s):  
O. Elbeyli ◽  
J. Q. Sun
Keyword(s):  
Feedback Control ◽  
Nonlinear Systems ◽  
Control Design ◽  
Stochastic Averaging ◽  
Moment Equation ◽  
Design Criteria ◽  
Numerical Examples ◽  
Rayleigh Approximation ◽  
Stochastic Controls ◽  
The Moment

This paper presents a method for designing and quantifying the performance of feedback stochastic controls for nonlinear systems. The design makes use of the method of stochastic averaging to reduce the dimension of the state space and to derive the Ito^ stochastic differential equation for the response amplitude process. The moment equation of the amplitude process closed by the Rayleigh approximation is used as a means to characterize the transient performance of the feedback control. The steady state and transient response of the amplitude process are used as the design criteria for choosing the feedback control gains. Numerical examples are studied to demonstrate the performance of the control.

Sign in / Sign up

Export Citation Format

Share Document