Permanent-magnet synchronous motor command filtering discrete control method taking input saturation into consideration

Abstract

The invention belongs to the technical field of permanent-magnet synchronous motor position tracking control, and particularly discloses a permanent-magnet synchronous motor command filtering discretecontrol method taking input saturation into consideration. Aiming at an input saturation problem which is easy to occur in a permanent-magnet synchronous motor, a permanent-magnet synchronous motor discrete system model is established by using an Euler method; a command filtering control technology is introduced into a traditional backstepping method, so the problem of computational complexity existing in a backstepping control algorithm is solved; and a radial basis function neural network is used for processing a high-order nonlinear term in a permanent-magnet synchronous motor discrete system, and a permanent-magnet synchronous motor discrete system command filtering controller taking input saturation into consideration is constructed. According to the method, the influence of input saturation can be overcome, an ideal control effect is ensured, and a motor is allowed to operate quickly and stably.

Description

technical field [0001] The invention belongs to the technical field of position tracking control of permanent magnet synchronous motors, in particular to a command filter discrete control method of permanent magnet synchronous motors considering input saturation. Background technique [0002] In recent years, with the rapid development of information technology, automation technology and microelectronics technology, permanent magnet synchronous motors are widely used in industrial and agricultural production. Compared with traditional motors, permanent magnet synchronous motors have the advantages of simple structure, small size, and high efficiency. Magnetic synchronous motors are constantly being improved. The permanent magnet generates the magnetic field of the permanent magnet synchronous motor, thereby avoiding the excitation loss caused by the magnetic field generated by the excitation current, so that the loss of the motor is low, the production cost is reduced, and ...

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Problems solved by technology

In addition, for some high-order systems with high nonlinearity and uncertain parameters, the nonlinear term will make the controller design very complicated, which is not conducive to the online control of the computer control system. Related research has proposed the fuzzy logic system (FLS) Approximate theories such as neural networks (NN) simplify the system and make the design of the controller simpler

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