| Title |
Towards Smart City Platform Intelligence: PI Decoupling Math Model for Temperature and Humidity Control |
| ID_Doc |
36963 |
| Authors |
Altayeva, A; Omarov, B; Cho, YI |
| Title |
Towards Smart City Platform Intelligence: PI Decoupling Math Model for Temperature and Humidity Control |
| Year |
2018 |
| Published |
|
| DOI |
10.1109/BigComp.2018.00128 |
| Abstract |
Providing a comfortable indoor climate for people, using heating, ventilation and air conditioning (HVAC) systems, in commercial or residential buildings is an extremely important problem. This is directly related to the design of the multi-channel controllers for temperature, humidity, and air quality. First, the analysis and building of an interactive nonlinear mathematical model of the required comfort temperature, humidity, and air quality are presented in this paper. Then, the article refers to methods of design of traditional PID controllers, PID controllers combined with decoupled controllers, and PID controllers with self-tuning parameters based on fuzzy logic principles, combined with decoupled controllers for heating and humidifying processes. Finally, we present the simulation results of a proposed fuzzy-PID controller in Matlab, and analyze experimental results for a 6-month period by applying the proposed system. |
| Author Keywords |
HVAC; PID; Smart Energy; Smart City |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000435014000119 |
| WoS Category |
Computer Science, Theory & Methods |
| Research Area |
Computer Science |
| PDF |
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