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

• 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

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...