Self-adaptive robust control method of electric loading system and electric loading system

Abstract

The invention discloses a self-adaptive robust control method for an electric loading system, and the control method comprises the following steps: carrying out the backstepping of a loading instruction of the loading system according to an actual output value of the loading system, and obtaining a speed instruction of the loading system; according to the actual output value of the loading systemand the parameters of the loading system, reversely deducing the speed instruction of the loading system, and obtaining a q-axis current instruction of a motor of the loading system; according to theactual output value of the loading system and the parameters of the loading system, reversely deducing the q-axis current instruction of the loading system, and obtaining the voltage input to a motorof the loading system; and updating parameters of the loading system by adopting an adaptive algorithm in the voltage calculation process. The electric loading system is controlled by adopting a self-adaptive robust control method, the influence of a high-temperature and low-temperature alternating environment on the motor performance and the influence of external disturbance on the control precision of the loading system can be effectively coped with, and accurate displacement control of the loading system is realized.

Description

technical field [0001] The invention relates to the technical field of electric loading, in particular to an adaptive robust control method of an electric loading system and an electric loading system. Background technique [0002] Servo loading system, also known as load simulator, belongs to the category of servo control system. The servo loading system is widely used in the research and development of aviation and aerospace projects, such as the loading of steering gear and landing gear systems, and is used to assess the dynamic working conditions of the loaded objects under the action of approximate actual loads, so as to verify their performance in actual The feasibility of the work provides an important reference for the performance verification and optimization of the host object. However, in practical applications, the actual working environment of the loaded object may be very harsh, which brings new challenges to the control of the loading system, such as the seal...

AI Technical Summary

Problems solved by technology

[0003] However, there are two problems in the control method of the linear electric loading in the high and low temperature alternating environment. First, the high and low temperature alternating environment will change the performance of the motor and the parameters of the control model.

Two: The loading system itself has nonlinear effects such as friction and dead zone, which will bring unknown nonlinear disturbances to the control, both of which will seriously affect the control accuracy of the loading system

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