Method for self-turning parameters of rotary speed controller of permanent magnet synchronous motor based on chaos molecule kinetic theory algorithm

Abstract

The invention discloses a novel parameter self-turning controller of a permanent magnet synchronous motor (PMSM). A permanent magnet synchronous motor system comprises the permanent magnet synchronous motor, a photoelectric encoder, a rotor position sensor, an ASR (Acceleration Slip Regulation) controller, an inverter, an SVPWM (Space Vector Pulse Width Modulation) vector pulse width modulation system and the like. A realization process of the technology comprises the following steps: firstly, collecting a difference value of an actual rotary speed of the motor and a given rotary speed, wherein a collection system is mainly composed of the photoelectric encoder and a current and voltage sensor; seeking for optimal parameters of a PID (Proportion Integration Differentiation) controller by adoption a novel self-adaptive chaos molecule kinetic theory algorithm (CKMTOA); and adjusting a speed ring by adopting the PID controller of the chaos molecule kinetic theory algorithm in a PMSM vector control system. In an improved molecule kinetic theory optimization algorithm, the convergence speed is improved by adopting a self-adaptive inertia weight factor, and a local extreme value is avoided by adopting chaos optimizing search. By adopting the method, a control system has the advantages of rapid dynamic response, good tracking effect, high robustness and the like.

Description

technical field [0001] The invention relates to the field of permanent magnet synchronous motor drive control systems, in particular to a method for self-tuning parameters of a permanent magnet synchronous motor speed controller based on a chaotic molecular dynamic theory algorithm. Background technique [0002] The permanent magnet synchronous motor has the advantages of small size, high efficiency, low moment of inertia, large electromagnetic torque, and convenient control, and the development of magnetic materials, power electronic devices, and control theory is vigorous, so the permanent magnet synchronous motor drive system is widely used in Electric and hybrid electric vehicles, etc. In the control of permanent magnet synchronous motor, due to the nonlinear coupling of rotor speed and stator current, the system has strong nonlinearity, especially when there is uncertainty in the entire drive system, this nonlinearity makes it difficult for the system to achieve high-pr...

AI Technical Summary

Problems solved by technology

However, when it is applied to optimize the parameters of the PID controller, in the iterative process of the algorithm, if all molecular individuals in the population satisfy |max ( x .j ) -min ( x .j ) | ≤ ε Sometimes the algorithm is prone to local prematurity and lacks a local optimization mechanism, which affects the global search ability and convergence speed of the algorithm

Images