Bearingless Induction Motor(BIM) is an advanced sort of traditional motor.It is a motor that bonds magnetic bearing and AC induction motor.The BIM not only has the advantages of long service life and no wear of magnetic bearing,but also has the advantages of low cost and simple structure of induction motor.At present,it has become one of the research hotspots in the field of motor drive,life science and energy development.With the support of the Jiangsu Outstanding Youth Fund(BK 20180046)and the National Natural Science Foundation of China(51875261),the study on the BIM mathematical model analysis,nonlinear decoupling control,internal model controller,and identification of speed and rotor resistance based on model reference adaptive system,realization of digital control system are researched.The main contents are indicated as below:1.The research status of BIM is elaborated,and the development status and main methods of its nonlinear decoupling control and identification of speed and rotor resistance are summarized.According to the principle of suspension force,two kinds of electromagnetic force mathematical formulas under the stable and eccentric state of BIM rotor are deduced,and the BIM mathematical model is constructed.At the same time,the closed-loop control system of BIM based on rotor field orientation is described,and its mathematical model formula is deduced.2.Aiming at BIM,which is a nonlinear and strongly coupled complex controlled object,the Least Squares Support Vector Machines(LSSVM)inverse and 2-DOF Internal Model Controller(IMC)are adopted to realize the high-performance dynamic decoupling control of BIM which is based on the rotor field-oriented coordinate axis.According to the principle of inverse system,the reversibility of BIM is proved,and the inverse model of BIM is identified by LSSVM with good learning ability.At the same time,for the majorization of LSSVM,an improved particle swarm algorithm is adopted.The LSSVM inverse model is connected in series with the BIM original system,so as to constitute pseudo-linear subsystems.The internal model control theory is used to design a 2-DOF internal model closed-loop controller to realize the independent adjustment of the system’s trackability and disturbance suppression characteristics.Finally,MATLAB/ SIMULINK is used for simulation verification,and the results prove that the designed control system has good dynamic decoupling,tracking and disturbance rejection ability.3.In view of the disadvantages of traditional mechanical sensors,as well as the inherent integral calculation and stator resistance identification of traditional MRAS,this dissertation proposes a method for speed identification based on instantaneous reactive power Model Reference Adaptive System(MRAS),and it is improved to identify the rotor resistance of BIM.The reference model and adjustable model of MRAS are designed according to the instantaneous reactive power theorem,and the adaptive rate is designed based on Popov’s superstability theorem to realize the identification of BIM speed information.By modifying the to-be-measured in the adjustable model of MRAS speed identification,and designing the adaptive rate based on the Popov integral inequality,the BIM rotor resistance online identification based on the instantaneous reactive power MRAS can be realized.At last,the MATLAB/ SIMULINK is used for simulation verification,and the results prove that the method has good accuracy of speed and rotor resistance identification.4.Taking TMS320F2812 DSP as the core processor,the software and hardware are developed respectively,and on this basis,the digital control platform of BIM based on vector control is constructed to carry out research and analysis on the experiment of BIM rotation and suspension.The experimental results show that the digital control system can not only make BIM work normally and stably,but also make it have good dynamic and static performance. |