Modeling And Control In Air Conditioning Systems PDF Download
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Author | : Ye Yao |
Publisher | : Springer |
Total Pages | : 496 |
Release | : 2016-10-01 |
Genre | : Technology & Engineering |
ISBN | : 3662533138 |
Download Modeling and Control in Air-conditioning Systems Book in PDF, ePub and Kindle
This book investigates the latest modeling and control technologies in the context of air-conditioning systems. Firstly, it introduces the state-space method for developing dynamic models of all components in a central air-conditioning system. The models are primarily nonlinear and based on the fundamental principle of energy and mass conservation, and are transformed into state-space form through linearization. The book goes on to describe and discuss the state-space models with the help of graph theory and the structure-matrix theory. Subsequently, virtual sensor calibration and virtual sensing methods (which are very useful for real system control) are illustrated together with a case study. Model-based predictive control and state-space feedback control are applied to air-conditioning systems to yield better local control, while the air-side synergic control scheme and a global optimization strategy based on the decomposition-coordination method are developed so as to achieve energy conservation in the central air-conditioning system. Lastly, control strategies for VAV systems including total air volume control and trim & response static pressure control are investigated in practice.
Author | : Bryan Philip Rasmussen |
Publisher | : |
Total Pages | : 582 |
Release | : 2005 |
Genre | : |
ISBN | : |
Download Dynamic Modeling and Advanced Control of Air Conditioning and Refrigeration Systems Book in PDF, ePub and Kindle
Author | : Chris P. Underwood |
Publisher | : Routledge |
Total Pages | : 386 |
Release | : 2002-09-11 |
Genre | : Architecture |
ISBN | : 1135817820 |
Download HVAC Control Systems Book in PDF, ePub and Kindle
This important new book bridges the gap between works on classical control and process control, and those dealing with HVAC control at a more elementary level, which generally adopt a qualitative and descriptive control. Both advanced level students and specialist practitioners will welcome the in-depth analytical treatment of the subject presented in this volume. Of particular significance are the current developments in adaptive control, robust control, artificial neural networks and fuzzy logic systems, all of which are given a thorough analytical treatment in the book. First book to provide an analytical treatment of subject Covers all new developments in HVAC control systems Looks at systems both in the UK and abroad
Author | : James Robert Vens |
Publisher | : |
Total Pages | : 122 |
Release | : 1986 |
Genre | : |
ISBN | : |
Download Return Fan Control Modeling for Heating, Ventilating and Air Conditioning Systems Book in PDF, ePub and Kindle
Author | : |
Publisher | : |
Total Pages | : |
Release | : 2013 |
Genre | : |
ISBN | : |
Download Dynamic Modeling, Simulation, and Control of Transportation HVAC Systems Book in PDF, ePub and Kindle
Author | : Raad Z. Homod |
Publisher | : LAP Lambert Academic Publishing |
Total Pages | : 120 |
Release | : 2014-07-23 |
Genre | : |
ISBN | : 9783659573927 |
Download Modeling and Fault-Tolerant Control Developed for HVAC Systems Book in PDF, ePub and Kindle
The main objective of this book is to control indoor temperature and reject faults tolerant like sensor deterioration, noise, disturbance and depreciation of the plant in building air conditioning system; we propose a fault tolerant controller system (FTCS) strategy for temperature control of air-conditioning system. The set-point response controller in the FTCS is designed in terms of insusceptible with noise, failure sensor, disturbance and parameter variation with optimal performance specification. The output of system was predicted through indoor, outdoor disturbance, at last based on the mathematical model of air-conditioning space. According to the system operation requirement for faults rejection, a closed-loop for rejecting faults signals is configured. It is found that the set-point response, the disturbance rejection, the noise rejection, the robust, rejection of failure sensor and the performance of the designed FTCS are better. Therefore the residual signal can now be used to monitor faults in the system while the proposed method ensures correctness of operation. Furthermore, FTCS has achieved the desired indoor temperature, superior performance, adaptation, robustness.
Author | : |
Publisher | : |
Total Pages | : |
Release | : 2007 |
Genre | : |
ISBN | : |
Download Modeling and Construction of a Computer Controlled Air Conditioning System Book in PDF, ePub and Kindle
As energy efficient devices become more necessary, it is desired to increase the efficiency of air conditioning systems. Current systems use on/off control, where the unit primarily operates in the long lasting start up transients. A proposed solution is an air conditioning unit that runs continuously with active computer control implemented to maximize efficiency. The objective of this thesis is to develop a mathematical model for a specific air conditioning unit and to compare this model to measurements made on the specific unit. This model can then be used to develop a multi-input multi-output control law in the future. In this thesis, a linearized moving interface lumped parameter model is presented, and the derivation verified with great detail. The model predicts transient perturbations from a steady state operating point. The air conditioner tested in this work required several modifications including the addition of sensors and controllers. A description of the system is provided. Methods used to determine all of the parameters for the model are given with explanation. The model is simulated with computer software and compared with experimental data. Simulations predict the final value of superheat and pressures in the evaporator and condenser well for step changes in the compressor speed and expansion valve opening.
Author | : Mark Stanley Cummings |
Publisher | : |
Total Pages | : 388 |
Release | : 1989 |
Genre | : |
ISBN | : |
Download Modeling, Design, and Control of Partial Ice-storage Air- Conditioning Systems Book in PDF, ePub and Kindle
Author | : Rolf Johansson |
Publisher | : |
Total Pages | : 536 |
Release | : 1993 |
Genre | : Language Arts & Disciplines |
ISBN | : |
Download System Modeling and Identification Book in PDF, ePub and Kindle
An exploration of physical modelling and experimental issues that considers identification of structured models such as continuous-time linear systems, multidimensional systems and nonlinear systems. It gives a broad perspective on modelling, identification and its applications.
Author | : Almahdi T M. Abdo-Allah |
Publisher | : |
Total Pages | : |
Release | : 2020 |
Genre | : |
ISBN | : |
Download Dynamic Modeling and Fuzzy Logic Control of a Large Building HVAC System Book in PDF, ePub and Kindle
Energy and cost-efficient management of a building's thermal properties requires heating, ventilation and air conditioning (HVAC) systems controllers to be working at optimal settings. However, many HVAC systems employ nonlinear time variances to deal with issues that affect the system's optimal operation. The present work considers an HVAC system at Memorial University's S. J. Carew Building which has been mathematically modeled using a state space multi-input and multi-output system (MIMO) approach for analyses and control system design. An IDA-ICE (Indoor Climate and Energy) simulation program has been applied for modeling the building, note that the four-story Carew Building includes an air-handling unit (AHU) on every floor. Compared with real data for one year's (2016) power consumption, the simulated annual power consumption for the building shows good agreement. Based on that data, two scenarios are applied for building the system models. Scenario 1 considers the HVAC system as a single unit with energy consumption (kWh) as inputs and zonal temperature and CO2 concentrations as outputs. By employing the MATLAB system identification toolbox, a MIMO-based system forms the basis for a state space model. In the model for Scenario 1, there are eight main AHU inputs (hot water power usage and power usage) and eight main outputs (return airflow temperature and CO2 levels). The state feedback controller obtains good results for both responses rise time and stability. In Scenario 2, there are four AHUs in total. Each of this scenario's AHUs features three main inputs (hot water, internal-to-internal air flow, and external-to-internal air flow) and three main outputs (static air pressure, CO2 levels, and temperature). In the first AHU (AHU1), we apply state-of-the-art fuzzy logic controllers (FLCs) to control fan speeds, CO2 concentrations, and temperature in the building in accordance with the flow rates for air and hot water. This strategy represents a novel approach for adapting FLCs by modifying fuzzy rule using the Simulink. The modified system shows improved levels of thermal comfort. The final part of the work presents the design for a supervisor fuzzy logic controller (SFLC) that can be applied to the entire S. J. Carew Building HVAC control. This SFLC features 24 inputs and 12 outputs and employs a state-space model that considers each AHU as an individual system. The SFLC detailed design and system simulation results are presented in this thesis.