Total Environmental Control Systems, Soft-Start and Soft-Start Variable Capacity Air Conditioners

1987 ◽  
Author(s):  
Robert Sherfy ◽  
John D. Tanner
Keyword(s):  
Control Systems ◽  
Environmental Control ◽  
Air Conditioners ◽  
Soft Start ◽  
Variable Capacity

Smart-device environmental control systems: experiences of people with cervical spinal cord injuries

2017 ◽  
Vol 13 (8) ◽  
pp. 724-730
Author(s):  
Bethany Hooper ◽  
Michele Verdonck ◽  
Delena Amsters ◽  
Michelle Myburg ◽  
Emily Allan
Keyword(s):  
Spinal Cord ◽  
Control Systems ◽  
Spinal Cord Injuries ◽  
Environmental Control ◽  
Cervical Spinal Cord ◽  
Smart Device

scholarly journals Methodology of software development for artificial microclimate control systems

2020 ◽  
pp. 21-31
Author(s):  
Ihor Golinko ◽  
Pavlo Gikalo
Keyword(s):  
Control System ◽  
Software Development ◽  
Control Systems ◽  
Mass Exchange ◽  
Air Conditioning ◽  
Block Diagram ◽  
Dew Point ◽  
Program Logic ◽  
Air Conditioners ◽  
Exchange Processes

The specificity of accelerated software development for microcontrollers is considered. The software development technique for a program-logic controller is presented on the example of an algorithm for controlling the industrial premises microclimate. The method of “dew point” for the control system of industrial air conditioning. The analysis of the functioning of the control system of industrial air conditioning according to the “dew point” method has been carried out and a block diagram of the control system of an artificial microclimate has been proposed. Structurally, the mathematical description of an artificial microclimate system is presented, which takes into account the nonlinearity of mass-exchange processes of air preparation. It can be used by specialists to implement computer-integrated technologies and to analyze and adjust the parameters of the control system of industrial air conditioners.

scholarly journals Fortnightly review: Environmental control systems for people with a disability: an update

BMJ ◽  
1997 ◽  
Vol 315 (7105) ◽  
pp. 409-412 ◽  
Author(s):  
D J Wellings ◽  
J Unsworth
Keyword(s):  
Control Systems ◽  
Environmental Control

Adaptive Control of Indoor Thermal Environments Using Fan Coil Units

2008 ◽  
Author(s):  
Viraj Srivastava ◽  
Yun Gu ◽  
David Archer
Keyword(s):  
Control Systems ◽  
Air Conditioning ◽  
Control Algorithm ◽  
Environmental Control ◽  
Feedforward Control ◽  
Test Bed ◽  
Multiple Sources ◽  
Time Data ◽  
Distributed Sensor ◽  
Thermal Environments

The work described in this paper relates to advanced control systems, specifically designed for heating, ventilation and air conditioning in office buildings. This work specifically focuses on the use of state of the art fan coil units with advanced instrumentation and control. The premise of the work is that control systems can be significantly enhanced by using real-time data from a distributed sensor network deployed in the building. Specifically, the performance of control systems can be improved by augmenting predictive (feed-forward) control operations with techniques to improve the accuracy of models. A control algorithm for heating, ventilating and air-conditioning systems is described in this paper that integrates an advanced feedforward control algorithm with conventional feedback control. This paper further contains a description of a functional prototype used to demonstrate the proposed control algorithm for indoor thermal environmental control. The test-bed used in this work — the Robert L Preger Intelligent Workplace (IW), at Carnegie Mellon University, involves a large number of variables and hence a complex control task, i.e., the test bed contains multiple sources of thermal energy, and multiple constraints and disturbances — both measurable and immeasurable. The algorithms demonstrated in this test-bed are expected to perform satisfactorily on other environments with smaller number of variables. This paper contains a description of experiments that were performed to validate the comfort and energy benefits of increased sensing using fan coil units that are in installed in two spaces in the IW.

Numerical modeling of particle deposition in the environmental control systems of commercial airliners on ground

2016 ◽  
Vol 10 (2) ◽  
pp. 265-275 ◽  
Author(s):  
Yudi Liu ◽  
Qing Cao ◽  
Wei Liu ◽  
Chao-Hsin Lin ◽  
Daniel Wei ◽  
...  
Keyword(s):  
Numerical Modeling ◽  
Control Systems ◽  
Particle Deposition ◽  
Environmental Control
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