A data-driven adaptive anti-jamming controller and its estimation method

Abstract

The invention discloses a data-driven adaptive anti-jamming controller and its estimation method. The controller structure includes an input controller, an extended state observer, a control gain estimation module and a second-order nonlinear system. The second-order nonlinear The linear system is a second-order nonlinear system with unknown control gain. The input controller of the present invention only needs to control the parameters output by the gain estimation module and does not need to control the gain parameter b. When the control gain of the second-order nonlinear system is unknown, the uncertainty and control gain of the second-order nonlinear system are realized. Simultaneous online estimation. The invention realizes online estimation of the control gain of the second-order nonlinear system within a limited time by establishing a control gain estimation module. The present invention introduces a state tracking error signal x e , the effective tracking of the desired state is realized, the control state converges to the desired state, the accuracy of parameter estimation is effectively guaranteed, and the precise control of the second-order nonlinear system is realized.

Description

technical field [0001] The invention relates to the field of adaptive control, in particular to a data-driven adaptive anti-jamming controller and an estimation method thereof. Background technique [0002] Control is to control the controlled object with appropriate control force, and the purpose of control is to make its motion change in the expected way under various disturbances, that is, according to the given target trajectory or set value. For a controlled object, there is an error between his expected behavior and actual behavior, how to eliminate this error is the core problem of control theory research. In the past, people often used PID (proportional, integral, differential) controllers based on error control to eliminate controller errors. The principle of PID controllers is the weighted sum of the "past, current state and future trend" of errors. The PID controller is welcomed by the industrial field because of its simple structure, wide practical range, strong...

AI Technical Summary

Problems solved by technology

[0004] First, in the existing adaptive anti-jamming controller method based on the extended state observer, the control gain is needed when designing the control signal. When the control gain of the nonlinear system is unknown and the control gain is not easy to obtain, it cannot output Effective control signal, unable to complete the design of the controller control input

[0005] Second, in the existing method of adaptive anti-jamming controller based on extended state observer, the system can only rely on external control input, which cannot achieve effective tracking of the desired state, and cannot guarantee that the actual state converges to the desired state

At the same time, it cannot adapt to the change of state parameters within a limited time, and cannot effectively guarantee the real-time performance of nonlinear systems.

[0006] Third, in the existing method of adaptive anti-disturbance controller based on extended state observer, only the uncertainty of the system can be estimated, and the control input gain of the system cannot be estimated at the same time

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