Research On Mixed And Multiple Model Control Strategy For Permanent Magnet Synchronous Motor

Permanent Magnet Synchronous Motor(PMSM) is a major concern due to its properties such as high power factor, high efficiency, large starting torque, good force index, low temperature rise, high power density and so on. The studies on the high performance driving control technology of PMSM are of great significance to the production process with high requirement. Taking the stick-type three-phase PMSM as the control object, this paper studies that the motor adjusts the controller parameters as the state changes automatically, in this way, the online setting of controller parameters is realized.First of all, the continuous mathematical model of the three-phase PMSM is discretized under the rotating coordinate system and the discrete mathematical model is established. If the model parameters are obtained by discrete identification, it is a fixed-parameter model; if the model parameters are obtained by the online identification, it is a variant-parameters model, many variant models make up a variant model library. Offline and online identification algorithms are put forward to provide theoretical basis for setting the parameters.Then the recursive least squares method and model reference adaptive method are used for online identification of the PMSM hybrid model scheme, and the dynamical model library is updated in real time by using an index function. A control system based on hybrid multi-mode library is proposed and the parameters are adjusted online according to the rule “Superior win, bad discard.”Finally, the three-phase PMSM high performance vector frequency conversion control device is designed and debugged in the built three-phase speed adjusting system test environment, the vector frequency conversion control of the hybrid multiple model PMSM is achieved, the simulation and verification results validate the correctness of the proposed scheme and the feasibility of the hybrid multiple model control strategy.