| Based on the Characteristics of the simple structure of single-rotor compressor,it has become the main core component of modern household variable-frequency air-conditioning system.But when the single-rotor permanent magnet inverter air-conditioning compressor is running,The excessive disturbance of the periodic load Torque will lead to the periodic speed fluctuation of the variable frequency motor.Especially in low-speed operation,the motor speed fluctuations are more obvious.Excessive speed fluctuation will not only lead to the increase of energy consumption,but also reduce the quality and comfort of the Frequency conversion air conditioning.In order to solve this problem more effectively,this paper presents a simulation optimization method of suppressing speed fluctuation of single-rotor air-conditioning compressor based on multi-domain model.The main contents of this paper are as follows:(1)first of all,in order to more effectively achieve the suppression effect of low-frequency speed fluctuation of single-rotor air-conditioning compressor,the operation of single-rotor air-conditioning compressor is affected by many factors,a multi-domain simulation model based on the method of multi-domain modeling is proposed.The simulation results of the load torque mechanical system model show the high fitting degree between the load torque fitting curve of the motor and the sample curve of the test data,which verifies the feasibility of the load torque mechanical system simulation model,it can be used to replace the physical prototype for the following simulation optimization control work.In addition,the reliability of the multi-domain model is verified by the simulation results.This provides a strong foundation for the further research on the suppression of speed fluctuation of single-rotor air-conditioning compressor.(2)secondly,in order to solve the problem that the optimal parameters calculation is not accurate enough and the restraining effect is not obvious in the method of feed-forward compensation current which is commonly used to suppress speed fluctuation inlow-frequency operation of permanent magnet synchronous motor(PMSM)of single-rotor air-conditioning compressor,a method of optimizing the parameters of feed-forward compensation current based on pattern matching tracing is proposed.Through the common function analysis,it is proved that the pattern matching tracking algorithm has the characteristics of fast optimization speed and high calculation accuracy,which makes the method based on pattern matching tracking to restrain the speed fluctuation more convincing.(3)After that,in order to effectively control the speed fluctuation of a single-rotor air-conditioning compressor at low speed,based on the Matlab/simulink platform,the optimization scheme and system simulation optimization model are designed,which are suitable for pattern matching tracking algorithm to suppress the speed fluctuation,the optimal control parameters of feed-forward compensation current signal are acquired adaptively to restrain the speed fluctuation of the compressor system.By comparing the simulation results before and after the optimization,the speed fluctuation is reduced from 341r/min to85r/min,which proves the effectiveness of the simulation optimization control method based on pattern matching tracking.(4)Finally,an experimental control platform based on infineonxmc4200 is built for single-rotor domestic air-conditioning compressor.The software and hardware of the control circuit are carefully studied and designed,and the control of the speed fluctuation system of the single-rotor domestic air-conditioning compressor is realized successfully.The speed fluctuation of the control system and the related experimental data are detected by the experimental oscilloscope.The experimental results show that the speed fluctuation before and after optimization decreases from 256r/min to 85r/min.The experimental results show that the suppression effect of speed fluctuation based on pattern matching tracking is greatly improved,which validates the correctness of the optimization method. |