| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4961064 | Procedia Computer Science | 2017 | 6 Pages |
The air conditioning system is an important external condition for coating production. Effectively controlling the air conditioning system temperature could ensure the external conditions required during the production process of the coating line, thus to ensure product quality. Due to the large temperature difference change rate of outdoor fresh air at some areas, the traditional PID control method can't meet the temperature control requirements of the air conditioning system. In order to solve above problem, an actual plant air conditioning model was built based on the structure features of the truck coating plant air conditioning. An intelligent adaptive control algorithm was designed, then we performed matlab simulation on this model. Through the simulation, the experimental results show that the adaptive algorithm can meet the control requirements.
