scholarly journals Air-Conditioning PID Control System with Adjustable Reset to Offset Thermal Loads Upsets

10.5772/18818 ◽  
2011 ◽  
Author(s):  
Takanori Yamazaki ◽  
Yuji Yamakawa ◽  
Kazuyuki Kamimura ◽  
Shigeru Kurosu
Keyword(s):  
Control System ◽  
Pid Control ◽  
Air Conditioning ◽  
Thermal Loads

Research and Application on Central Air Conditioning Control System

2014 ◽  
Vol 602-605 ◽  
pp. 1468-1471
Author(s):  
Xue Jing Sun
Keyword(s):  
Control System ◽  
Pid Control ◽  
Air Conditioning ◽  
Control Temperature ◽  
Pid Algorithm ◽  
Input And Output ◽  
Central Air Conditioning ◽  
Set Up ◽  
Control Principle ◽  
Conditioning Control

In this paper, microcontroller is applied in the central air conditioning control system. Firstly, microcontroller controller is used as controlling core to control temperature and humidity of central air conditioning control system. Secondly, PID algorithm parameters are set up for improving traditional PID control principle. Lastly, input and output values can be set and displayed by LCD screen.

Research on Central Air Conditioning System of Intelligent Buildings

2014 ◽  
Vol 960-961 ◽  
pp. 639-642
Author(s):  
Xue Jing Sun
Keyword(s):  
Control System ◽  
Pid Control ◽  
Air Conditioning ◽  
Air Conditioning System ◽  
Pid Algorithm ◽  
Intelligent Buildings ◽  
Central Air Conditioning ◽  
Set Up ◽  
Control Principle ◽  
Conditioning Control

In this paper, microcontroller is applied in the central air conditioning control system. Firstly, microcontroller controller is used as controlling core to control temperature and humidity of central air conditioning control system. Secondly, PID algorithm parameters are set up for improving traditional PID control principle. Lastly, input and output values can be set and displayed by LCD screen.

Modeling and Simulation of Chilled Water System for Central Air Conditioning

2012 ◽  
Vol 204-208 ◽  
pp. 4280-4285 ◽  
Author(s):  
Jian Min Sun ◽  
Chun Dong Zhang ◽  
Ze Yang Zhou
Keyword(s):  
Control System ◽  
Energy Saving ◽  
Pid Control ◽  
Air Conditioning ◽  
Water System ◽  
Air Conditioning System ◽  
Chilled Water ◽  
Central Air Conditioning ◽  
Chilled Water System ◽  
Saving Effect

Considering the central air conditioning system is highly susceptible to interferences from external environment, this paper established a dynamic mathematical model for chilled water system with the air conditioning area, fan coil unit and air conditioning area interference factors. Selection of chilled water system as a controlled object, designed the energy saving control system for central air-conditioning. The inputs of PID controller are deviation of actual temperature and setting temperature, and the change rate of the deviation; output is operation frequency of pump. Experiment shows that, PID control system in 90% time operating at a frequency of 10Hz-40Hz, average is 32.5Hz. Compared with no control system, the pump power consumption was reduced 33.9%.In conclusion, PID control in the central air conditioning system have a good energy saving effect.

Evolutionary Algorithm with PID Control System for Central Air-Conditioning Energy Saving

2011 ◽  
Vol 204-210 ◽  
pp. 981-984
Author(s):  
Fan Lin ◽  
Wen Hua Zeng ◽  
Yi Jiang ◽  
Qi Liang
Keyword(s):  
Control System ◽  
Evolutionary Algorithm ◽  
Energy Saving ◽  
Pid Control ◽  
Air Conditioning ◽  
Time Varying ◽  
Typical Time ◽  
Time Varying Systems ◽  
Central Air Conditioning ◽  
Saving Algorithm

Central air-conditioning energy saving under the control of the process of multi-parameter is a typical time-varying systems and nonlinear complex systems. In this paper, we analyzed and studied the process-oriented control system for central air-conditioning energy saving algorithm and architecture, and used evolutionary algorithm and PID control strategy to improve the existing control system. The new system makes the control system to achieve better function control and energy saving.

scholarly journals Self-Tuning Two Degree-of-Freedom Proportional–Integral Control System Based on Reinforcement Learning for a Multiple-Input Multiple-Output Industrial Process That Suffers from Spatial Input Coupling

Processes ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 487
Author(s):  
Fumitake Fujii ◽  
Akinori Kaneishi ◽  
Takafumi Nii ◽  
Ryu’ichiro Maenishi ◽  
Soma Tanaka
Keyword(s):  
Control System ◽  
Reinforcement Learning ◽  
Pid Control ◽  
Multiple Input Multiple Output ◽  
Industrial Process ◽  
Pi Controller ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Self Tuning ◽  
Two Degree Of Freedom

Proportional–integral–derivative (PID) control remains the primary choice for industrial process control problems. However, owing to the increased complexity and precision requirement of current industrial processes, a conventional PID controller may provide only unsatisfactory performance, or the determination of PID gains may become quite difficult. To address these issues, studies have suggested the use of reinforcement learning in combination with PID control laws. The present study aims to extend this idea to the control of a multiple-input multiple-output (MIMO) process that suffers from both physical coupling between inputs and a long input/output lag. We specifically target a thin film production process as an example of such a MIMO process and propose a self-tuning two-degree-of-freedom PI controller for the film thickness control problem. Theoretically, the self-tuning functionality of the proposed control system is based on the actor-critic reinforcement learning algorithm. We also propose a method to compensate for the input coupling. Numerical simulations are conducted under several likely scenarios to demonstrate the enhanced control performance relative to that of a conventional static gain PI controller.

Intelligent Information of TS Fuzzy PID Control System of BLDCM

2013 ◽  
Vol 846-847 ◽  
pp. 313-316 ◽  
Author(s):  
Xiao Yun Zhang
Keyword(s):  
Control System ◽  
Dynamic Model ◽  
Pid Control ◽  
Control Method ◽  
Design Method ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Control Precision ◽  
Simulation Results ◽  
Intelligent Information

This paper presented a new method based on the Fuzzy self - adaptive PID for BLDCM. This method overcomes some defects of the traditional PID control. Such as lower control precision and worse anti - jamming performance. It dynamic model of BLDCM was built, and then design method for TS fuzzy PID model is given, At last, it compared simulation results of PID control method with TS Fuzzy PID control method. The results show that the TS Fuzzy PID control method has more excellent dynamic antistatic performances, as well as anti-jamming performance. The experiment shows that TS fuzzy PID control has the stronger adaptability robustness and transplant.

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