Cover Image

Gradient auto-tuned Takagi-Sugeno Fuzzy Forward control of a HVAC system using predicted mean vote index

Controllers of HVAC systems are expected to be able to manipulate the inherent nonlinear characteristics of these large scale systems that also have pure lag times, big thermal inertia, uncertain disturbance factors and constraints. In addition, indoor thermal comfort is affected by both temperature...

Full description

Saved in:
Bibliographic Details
Main Authors: Homod R.Z., Sahari K.S.M., Almurib H.A.F., Nagi F.H.
Other Authors: 36994633500
Format: Article
Published: 2023
Subjects:
Building energy control
HVAC system
PMV signal reference
TS Fuzzy identification
TSFF control
Cascade control systems
Climate control
Control nonlinearities
Newton-Raphson method
Building energy
Cascade control
Control methods
Control objectives
Control strategies
Disturbance factors
Gauss-Newton methods
Gradient algorithm
Indoor thermal comfort
Lag time
Non-linear regression
Nonlinear characteristics
Offline
Predicted mean vote
Residential loads
Save energy
T S models
T-S fuzzy
Takagi-sugeno
Thermal inertia
Thermal parameters
Thermal sensitivity
Uncertainty effects
Weather conditions
Humidity control
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items