Fully automatic refrigeration compressor performance test bench control effect
In the computer programming control, using the prediction mechanism, based on the idea of ​​fuzzy intelligent control, an intelligent optimization control algorithm is proposed. The expert knowledge of the operation of the refrigeration system uses the production structure to represent the current state and the corresponding control formula. The temperature and pressure regulation law can be summarized, but the deviation is no longer developed, that is, the proportional action is used to overcome the deviation, and the strength of the action is based on the deviation. However, when the deviation exists and there is a tendency to continue to increase, the integral and differential action are added on the basis of the proportional action, so as to suppress the deviation and continue to increase. When there is a deviation, the deviation is decreasing, indicating that the previous control has started. The effect, the amount of control can not continue to increase, the integral action should be cancelled in time. In addition to the above rules, the frequency of observation and operation should be changed according to how fast the deviation changes. The pressure of the whole system and the temperature before the valve are repeatedly adjusted by the above control rules until the system conditions meet the requirements of the national standard.
In the fully automatic refrigeration compressor performance test bench project funded by the International Montreal Fund, the algorithm has achieved good practical control results. The algorithm completely abandons the mathematical model of the controlled object, which is suitable for the control occasions lacking accurate mathematical model. The refrigeration system is a multi-variable complex system with nonlinear time-varying and randomness with large inertia and pure lag. The boundary has not been able to obtain accurate mathematical models between the main parameters of the refrigeration system that can be used for actual control. Therefore, it is very suitable to use this control algorithm in the refrigeration system, solving the key problem of achieving fully automatic testing. When the deviation exceeds the set limit, in order to make the control quantity reach the requirement as soon as possible, the switch control is adopted. When the deviation is within the range specified by the national standard and the deviation change is zero, the system reaches equilibrium, and the current control quantity output is kept as the national standard. In the range of the deviation and the variation of the deviation is not zero, a differential correction function is added on the basis of the original to suppress the variation trend of the deviation.
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