Research On ACB Air Conditioning Temperature Control System

With the development of society,people’s requirements for quality of life continue to improve.As a common tool,air conditioning plays an increasingly important role in human society.Central air conditioning commonly used has large energy consumption,in addition,the traditional air conditioning model and control method exacerbate its energy consumption problem,and the control effect is not ideal.So the research on air conditioning system model and the corresponding control method is necessary.Active Chilled Beam(ACB),as an emerging central air conditioning terminal equipment,has obvious advantages in terms of temperataure regulation,energy saving and noise reduction,but there are still few studies on ACB control methods.Based on the robust H∞ control and predictive control,this thesis designs a controller for ACB air conditioning system and compensates the measurable disturbance by feedforward control,which is capable of letting the system have better response characteristics and reduce energy consumption.And compensates the measurable disturbance by feedforward control,adjust the controller according to the number of people indoor to improve energy efficiency.Firstly,the ACB model is analyzed in this thesis.Due to the complication and over-parameterized of the model,the model is improved by constant temperature difference control method.To reduce the model dimension and make it easy to design and calculate the controller,variables which have less influence on room temperature of the multi-zone indoor temperature model are equivalent to measurable perturbation combined with bounded disturbance perturbation.Afterwards,combining the ACB terminal model with the room temperature model,and the complete state space model is obtained.Secondly,this thesis presents a controller for the proposed air conditioning model.Due to the existence of bounded disturbance in the system,the H∞ robust control method combined with the feedforward compensation method are applied to the air conditioning system controller.In addition,the effectiveness of the controller is verified by simulation.Then,in the discrete system model,a robust control method for dynamic optimization with explicit input and output constraints is proposed,and the method combined with the H∞ robust control method.The feasibility of the designed controller is proved by theoretical derivation and verified by simulation.The experimental results show that the proposed method can be applied to the ACB air conditioning system model given in this thesis,which makes the air conditioner have a good running condition,and optimizes the energy consumption.For the measurable perturbation in the model,the control method of discrete dynamic feedforward combined with the robust predictive control method compensation are given,and the complete control method of ACB air conditioning system model is constituted.In order to facilitate the research of the proposed model and the corresponding control method,a visual simulation platform is built in this thesis.Finally,the thesis presents a summary of the research and points out some problems to be explored in the future.