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A Intelligent Control Mode Research for Chilled Water System of HVAC

Author: TangZuo
Tutor: ZuoWeiHeng
School: Chongqing University
Course: Control Theory and Control Engineering
Keywords: Central air conditioning and chilled water systems Fuzzy Control PID control Particle swarm optimization
CLC: TU831.3
Type: Master's thesis
Year: 2009
Downloads: 243
Quote: 7
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Abstract


Modern society is facing increasingly serious energy crisis, building energy efficiency has become increasingly important. Central air conditioning running system is indispensable in modern building energy consumption. Central air conditioning system is to provide people with comfortable living and working environment, but also consumes a lot of energy. The air conditioning water system is a very important part of the central air-conditioning system in the summer cooling season, water system energy consumption accounts for about 60% of the entire air-conditioning system energy consumption to 80%. Therefore, the study of the central air conditioning water system control has become one of the hot spots of control theory and control engineering community, especially in the intelligent building industry. In this thesis central chilled water system as the research object. The chilled water system is a typical nonlinear, large time delay, big inertia and strong coupling of complex systems, the adjustment PID regulator, PID regulator rely mainly on performance tuning its parameters, because of the central air-conditioning chilled water system time constant, the adjustment is not only time-consuming, unsatisfactory performance indicators, a simple PID algorithm is difficult to achieve the desired results. Fuzzy control does not require accurate model of the controlled object and adaptable in order to overcome the shortcomings of traditional PID controller, fuzzy control and PID control combined, weaknesses and come up with a variety of fuzzy PID controller. Once you have determined the parameters of the fuzzy controller after can not be changed, can not automatically adapt to changes in the parameters of large-scale, further improvements are needed. Therefore, in the system of fuzzy control and particle swarm optimization algorithm based on fuzzy control technology with the classic PID control technology, particle swarm optimization algorithm combining a fuzzy self-tuning PID control strategy and design of the central air-conditioning chilled water adaptive fuzzy PID controller, the controller incorporates fuzzy control and conventional PID control their own advantages, while maintaining the PID control simple, high precision, and give full play to the fuzzy control of flexible, adaptable, fast good benefits. The improved particle swarm optimization algorithm quantization factors and the scale factor of the fuzzy adaptive PID controller optimization, in order to achieve the control rules of fuzzy PID controller automatically adjust and improve Finally, fuzzy adaptive PID controller design Simulation Research. Simulation results show that: This article is designed controller has better control effect than the conventional PID controller.

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CLC: > Industrial Technology > Building Science > Housing construction equipment > Air-conditioning, heating, ventilation,and its equipment > Air-conditioning > Air-conditioning systems
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