Decoupled HVAC System via Non-Linear Decoupling Algorithm to Control the Parameters of Humidity and Temperature through the Adaptive Controller
نویسندگان
چکیده
Control methodologies could achieve better comfort conditions of heating, ventilating and air conditioning (HVAC) systems, however, the application of classical controllers is unsatisfactory as HVAC systems are non-linear and the control variables such as temperature and relative humidity (RH) inside the thermal zone are coupled. The objective of this study is to implement and simulate adaptive control for decoupled HVAC to control temperature and RH. A non-linear decoupling algorithm is used to decouple the HVAC system and an adaptive controller is applied to control the temperature and RH, and improve the transient response of system. The simulation results show that the adaptive controller performance is superior, as compared with classical PID controller. In addition, the steady state set points for temperature and RH are better reached in a shorter period of time
منابع مشابه
Adaptive Fuzzy Synergetic PSS Design to Damp Power System Oscillations
This paper presents a novel indirect adaptive Power System Stabilizer (PSS) via a developed synergetic control methodology and fuzzy systems. Fuzzy system is utilized in an adaptive scheme to estimate the system using a nonlinear model. The synergetic control guarantees robustness of the controller and makes the controller easy to implement because of using a chatter free continuous control law...
متن کاملFuzzy adaptive control for the actuators position control and modeling of an expert system
In this paper, a heating, ventilating and air-conditioning (HVAC) system was designed and two different damper gap rates (actuators position) of the HVAC system were controlled by a conventional PID (proportional–integral–derivative) controller. One of the dampers was controlled by using the required temperature for the interested indoor volume while the other damper was controlled by using the...
متن کاملDesign of Fuzzy Logic Based PI Controller for DFIG-based Wind Farm Aimed at Automatic Generation Control in an Interconnected Two Area Power System
This paper addresses the design procedure of a fuzzy logic-based adaptive approach for DFIGs to enhance automatic generation control (AGC) capabilities and provide better dynamic responses in multi-area power systems. In doing so, a proportional-integral (PI) controller is employed in DFIG structure to control the governor speed of wind turbine. At the first stage, the adjustable parameters of ...
متن کاملSensorless Indirect Field Oriented Control of Single-sided Linear Induction Motor With a Novel Sliding Mode MRAS Speed Estimator
This paper proposes a new sliding mode control (SMC) based model reference adaptive system (MRAS) for sensorless indirect field oriented control (IFOC) of a single-sided linear induction motor (SLIM). The operation of MRAS speed estimators dramatically depends on adaptation mechanism. Fixed-gain PI controller is conventionally used for this purpose which may fail to estimate the speed correctl...
متن کاملAdaptive Predictive Controllers Using a Growing and Pruning RBF Neural Network
An adaptive version of growing and pruning RBF neural network has been used to predict the system output and implement Linear Model-Based Predictive Controller (LMPC) and Non-linear Model-based Predictive Controller (NMPC) strategies. A radial-basis neural network with growing and pruning capabilities is introduced to carry out on-line model identification.An Unscented Kal...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2014