Passivity Control Method of Induction Motor Based on Immune Algorithm

Abstract

Passivity control method of induction motor based on immune algorithm, wherein the control system includes inverter module, induction motor module, speed outer loop controller PI module, immune passivity controller module, speed encoder module, 2 / 2 coordinates Transformation module a, 2 / 2 coordinate transformation module b, 3 / 2 coordinate transformation module, space vector pulse width modulation module and rotation angle calculation module; the control method of the above control system makes use of output feedback to make the closed-loop system characteristic as a passive map , configure the reactive component "reactive force" in the system energy dissipation characteristic equation, force the total energy of the system to track the expected energy function, ensure the stability of the system, and make the output of the controlled object asymptotically converge to the expected value; the present invention will immune The structure is introduced into the passive control, and a passive controller based on the immune algorithm is proposed; the adjustable parameters in the controller are adjusted in real time by using the immune algorithm to ensure the rapidity and stability of the system.

Description

technical field [0001] The invention relates to the technical field of motor control, in particular to an induction motor passivity control method based on an immune algorithm. Background technique [0002] Induction Machine (Induction Machine) is a complex object with nonlinearity, multi-variables, strong coupling, time-varying parameters, and large interference. It has the advantages of high precision, high dynamic performance, high reliability, and small size. Its effective control has been a hot topic in research at home and abroad, and many control strategies and methods have been proposed. [0003] The existing induction motor control methods are basically based on vector control or direct torque control. Although they can obtain high dynamic and static performance, there are also some problems in vector control and direct torque control: The dependence of the direct torque control system is large, and the motor parameters are time-varying, which makes it difficult to...

AI Technical Summary

Problems solved by technology

[0003] The existing induction motor control methods are basically based on vector control or direct torque control. Although they can obtain high dynamic and static performance, there are also some problems in vector control and direct torque control: The dependence of the direct torque control system is large, and the motor parameters are time-varying, which makes it difficult to achieve ideal control; the torque fluctuation of the direct torque control system is large when starting and running at low speed

[0005] But there are still some problems. The internal model control method needs the internal model of the controlled object, and when the model does not match, the control effect will become poor, and even cause the system to be unstable.

The online calculation time of the predictive control method is long, the calculation amount is large, and the theoretical analysis is difficult to in-depth

Sliding mode control method Frequent high-speed switching will bring high-frequency jitter, low steady-state accuracy, and even oscillation

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