A Control Method of lmis State Feedback System Based on Uncertain Model

A state feedback and control method technology, applied in the direction of adaptive control, general control system, control/regulation system, etc., can solve the problems that the asymptotic stability and robustness of the closed-loop system cannot be guaranteed, and achieve a good suppression of disturbance noise. Great ability, high stability, effect of guaranteed stability and robustness
CN104407515BActive Publication Date: 2017-02-22SOUTH CHINA UNIV OF TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SOUTH CHINA UNIV OF TECH
Publication Date
2017-02-22

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Abstract

The invention discloses a LMIs state feedback system control method based on an uncertain model. The LMIs state feedback system control method disclosed by the invention comprises the following steps of: establishing a controlled object model containing uncertain parameters at first, introducing a system state feedback controller, constructing a function of a closed-loop system, and designing a nonlinear system control law in the event of satisfying a Lyapunov theorem. The control method disclosed by the invention considers the control problems including influence caused by modelling error, model parameter variation, system noise and the like, of a system having uncertainty in a certain degree; the control method disclosed by the invention has good adaptive capacity to the uncertain factors of the system; in addition, compared with general conventional methods, the method disclosed by the invention is more rapid in response speed and higher in stability and robustness.
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Description

technical field

[0001] The invention relates to the technical field of system control, in particular to a method for controlling an LMIs state feedback system based on an uncertain model. Background technique

[0002] State feedback control is to multiply each state variable of the system by the corresponding feedback coefficient, feed it back to the input terminal, add it to the reference input, and use the sum as the control signal of the controlled system. In traditional modern control theory H ∞ The combination of robust control and PID control shows better control performance for some objects, but there are still some aspects to be improved in the design of the control system: the unit control strategy based on the accurate model cannot deal with the system due to modeling errors or system parameters. Uncertainty caused by change. On the premise of ensuring the stability of the system, another scholar realized the tracking control of the control object by means of the...

Claims

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