An adaptive robust control method for an electric loading system and the electric loading system

Abstract

The invention discloses an adaptive robust control method for an electric loading system. The control method includes the following steps: reversely push the loading instruction of the loading system according to the actual output value of the loading system to obtain the speed instruction of the loading system; The actual output value of the loading system and the parameters of the loading system are reversed to the speed command of the loading system to obtain the q-axis current command of the motor of the loading system; according to the actual output value of the loading system and the parameters of the loading system, the The q-axis current command is reversed to obtain the voltage input to the motor of the loading system; and an adaptive algorithm is used to update the parameters of the loading system during the voltage calculation process. The electric loading system in the present invention is controlled by an adaptive and robust control method, which can effectively cope with the impact of high and low temperature alternating environments on the performance of the motor, as well as the impact of external disturbances on the control accuracy of the loading system, and realize Precise displacement control of the loading system.

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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