Improved fuzzy model-free adaptive control system and method for radial mixing magnetic bearing

Abstract

The invention discloses an improved fuzzy model-free adaptive control system and method for a radial mixing magnetic bearing. An improved fuzzy model-free adaptive controller, a controlled object and a displacement detection module are connected sequentially to form a closed-loop control system; the improved fuzzy model-free adaptive controller is formed through mutually connecting a basic model-free adaptive controller, four fuzzy reasoning devices and a differentiator; the fuzzy reasoning devices I and II are used for confirming the deviation gain factor and the fuzzy relation between the rotor radial displacement deviation and the change rate of the rotor radial displacement deviation respectively, and are used for correcting the deviation gain factor in an on-line manner; and the fuzzy reasoning devices III and IV are used for confirming the weight factor and the fuzzy relation of variation of radial displacement in the past, and are used for correcting the weight factor in an on-line manner. According to the invention, as the four fuzzy reasoning devices are used for adjusting the parameters, the fluctuation of radial displacement output signals is low, and the expected displacement value can be quickly tracked.

Description

technical field [0001] The invention belongs to the technical field of control, and in particular relates to a control system of a non-mechanical contact magnetic suspension bearing (magnetic bearing) and a control method of the control system. Background technique [0002] Radial hybrid magnetic bearing is a kind of hybrid magnetic bearing that can realize the control of two degrees of freedom in the radial direction at the same time. The control magnetic flux is generated by the control coil, so it has the advantages of controllable levitation force, high precision and adjustable stiffness of the active magnetic bearing. ; Its bias flux is produced by permanent magnets, so it has the advantages of low power consumption, low cost, and good space heat dissipation. At present, the radial hybrid magnetic bearing is controlled by a PID controller, but the PID controller relies too much on the model parameters of the control object, and its robustness is poor, so it is difficult...

AI Technical Summary

Problems solved by technology

[0004] For complex nonlinear coupling systems such as radial hybrid magnetic bearings, compared with traditional control schemes for magnetic bearing systems based on mathematical models, if the traditional fuzzy model-free adaptive controller is used to directly control it, it can be more efficient. It is good to realize the fast response of the system, and has stronger adaptive ability and robustness, but the output of the traditional fuzzy model-free adaptive controller is sensitive to the change of output data in the past time, which will produce a large control function, affecting the stability of the system

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