Complete control systems using linear photodiode arrays

Sensor Review ◽  
1982 ◽  
Vol 2 (2) ◽  
pp. 71-74
Keyword(s):  
Control Systems ◽  
Complete Control ◽  
Photodiode Arrays

A Novel Approach to a Control Systems Laboratory

2003 ◽  
Author(s):  
John M. Watkins ◽  
Richard T. O’Brien
Keyword(s):  
Control System ◽  
Control Systems ◽  
Systems Engineering ◽  
The United States ◽  
Naval Academy ◽  
Sampled Data ◽  
Complete Control ◽  
Domain Identification ◽  
Prototype Development ◽  
Novel Approach

In controls education today, a significant gap exists between the material covered in the typical undergraduate classroom and the skills that students need to be practicing control system engineers. In order to help bridge this gap, a control systems laboratory was developed in the Systems Engineering Department at the United States Naval Academy (USNA) with the following design objectives. The first objective was to provide the students the opportunity to apply control theory to physical systems. The second objective was to develop labs where each student works through the complete control system design process. The third objective was to increase the students’ exposure to sampled-data control. The paper begins with a discussion of the Quanser rapid control prototype development system and laboratory experiments. Modeling and system identification are discussed next. Key areas that areas that are emphasized include the use of a dynamic signal analyzer for frequency domain identification and the identification of Coulomb friction for simulation purposes. A unified approach for root locus and Bode design that is used through out the course is discussed next. Finally, analog and digital controller implementations are discussed.

Explicit Model Predictive Control for Inverted Pendulum Systems

2020 ◽  
Author(s):  
Mateus Mussi Brugnolli ◽  
Bruno Augusto Angélico
Keyword(s):  
Model Predictive Control ◽  
Control Systems ◽  
Predictive Control ◽  
Inverted Pendulum ◽  
Parametric Optimization ◽  
Control Technique ◽  
Explicit Model ◽  
Complete Control ◽  
Explicit Model Predictive Control ◽  
Different Types

Model Predictive Control is a control technique that has been greatly investigated in recent years. It has the versatility of different types of models for the prediction of the system and aptitude to handle the system constraints. In the last decade, the multi-parametric optimization has been applied to the control theory that allowed for the MPC optimization to be performed offline, which was denominated as explicit Model Predictive Control. This work investigates the application of this control technique in Inverted Pendulum systems, which are commonly used as didactic control systems. The complete control design is described considering its validation for two Inverted Pendulum systems through simulations.

scholarly journals Networked and Cloud Control Systems - Modern Challenges in Control Engineering

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Nataša Popović ◽  
Milica Naumović
Keyword(s):  
Control Systems ◽  
Networked Control Systems ◽  
Systems Design ◽  
Networked Control ◽  
Delay Bound ◽  
Complete Control ◽  
Dc Motor Control ◽  
Control Concept ◽  
Control Systems Design ◽  
Data Dropouts

The paper describes development of some control techniques used in the feedback control systems. Modern control trends,with attention to networked control systems (NCS), and basic assumptions for introducing a new control concept – control in the cloudare described. Networked control systems techniques initiated the development of concept of Internet of Things and are fundamental incloud control systems design. Network induced delays that occur in NCSs, as a result of the presence of a communication network, andNCSs stability are considered, as well. Time delays and data dropouts influence on the NCS behavior and stability is analyzed, and somerelations for maximum allowable delay bound estimation are provided. It is shown, on example of DC motor control, that networkedsystem behaves in desired manner and remains stable if the delay is less then estimated maximum bound. When data dropouts occur,system delays become greater and lead to the system instability. Cloud control systems use some techniques of NCSs and cloudcomputing. These techniques are briefly presented and are necessary to complete control tasks in the cloud.

scholarly journals Emulsified Fuel and Fuel Control Systems

1969 ◽  
Author(s):  
R. M. Lamart ◽  
J. D. Mello
Keyword(s):  
Control System ◽  
Control Systems ◽  
Material Selection ◽  
Complete Control ◽  
Emulsified Fuel ◽  
Test And Evaluation ◽  
Endurance Tests ◽  
Order Of Magnitude ◽  
Temperature And Pressure ◽  
Absolute Quantity

Chandler Evans Engineering conducted a test and evaluation program to uncover problem areas of fuel control systems using emulsified fuel. Basic control components and a complete control system were tested as were fuel characteristics pertaining to a control, exposure effects of typical control system materials to the fuel, and temperature and pressure properties of emulsified fuel. Since the absolute quantity of fuel (1000 gal) made available for the program limited testing, no endurance tests were performed. General variations in control component and system performance when operated with JP-4 and emulsified JP-4 appear to be minor. Exposure of typical fuel-control materials indicates the fuel’s highly corrosive nature, which requires special consideration in material selection. The temperature and pressure properties of this fuel, although evaluated from testing, may be used as order of magnitude indication only, based on the one batch of emulsified JP-4 fuel tested. The results, which could be quite different on other batches of the same fuel — or on any of the many other emulsified-type fuels under development, indicate the general field of emulsified fuels.

Parallel Detection of Electron Energy Loss Spectra in Direct Mode

1990 ◽  
Vol 48 (2) ◽  
pp. 82-83
Author(s):  
Eckhard Quandt ◽  
Stephan laBarré ◽  
Andreas Hartmann ◽  
Heinz Niedrig
Keyword(s):  
Energy Loss ◽  
Electron Energy ◽  
Energy Resolution ◽  
Large Angle ◽  
Maximum Energy ◽  
Semiconductor Detectors ◽  
Parallel Detection ◽  
Photodiode Arrays ◽  
Electron Energy Loss ◽  
Electron Energy Loss Spectra

Due to the development of semiconductor detectors with high spatial resolution -- e.g. charge coupled devices (CCDs) or photodiode arrays (PDAs) -- the parallel detection of electron energy loss spectra (EELS) has become an important alternative to serial registration. Using parallel detection for recording of energy spectroscopic large angle convergent beam patterns (LACBPs) special selected scattering vectors and small detection apertures lead to very low intensities. Therefore the very sensitive direct irradiation of a cooled linear PDA instead of the common combination of scintillator, fibre optic, and semiconductor has been investigated. In order to obtain a sufficient energy resolution the spectra are optionally magnified by a quadrupole-lens system.The detector used is a Hamamatsu S2304-512Q linear PDA with 512 diodes and removed quartz-glas window. The sensor size is 13 μm ∗ 2.5 mm with an element spacing of 25 μm. Along with the dispersion of 3.5 μm/eV at 40 keV the maximum energy resolution is limited to about 7 eV, so that a magnification system should be attached for experiments requiring a better resolution.

Sign in / Sign up

Export Citation Format

Share Document