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Non-strategy observer state feedback-based optimization control method

A technology of state feedback and optimal control, which is applied in the direction of adaptive control, general control system, control/regulation system, etc., and can solve problems such as complex calculations

Active Publication Date: 2019-06-25
LIAONING UNIVERSITY OF PETROLEUM AND CHEMICAL TECHNOLOGY
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

For high-order systems, this method is computationally complex and needs to store a large amount of current and past output and input data of the system

Method used

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  • Non-strategy observer state feedback-based optimization control method
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Embodiment Construction

[0020] The present invention will be described in detail below in conjunction with the embodiments shown in the accompanying drawings.

[0021] 1. The present invention is based on the linear discrete system optimal control of observer state feedback, considers the state equation of the linear discrete system with unknown model parameter as follows:

[0022]

[0023] in, and They are controlled state, control input and control output respectively. is a dimensionality matrix, is the sampling time, is an unknown parameter or an unknown vector. suppose able to control, Can view.

[0024] In view of the fact that the state of the actual control system is difficult to directly measure or only part of the state information can be measured, and the measurement cost is high, the following full-dimensional state observer is designed:

[0025]

[0026] in, for The reconstructed state or estimated state of , is the observer output, is the gain matrix of the o...

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Abstract

The invention relates to an optimization control method, in particular, a non-strategy observer state feedback-based optimization control method. With the optimization control method adopted, the control performance of a linear discrete system with unknown parameters can be optimized. According to the method, a discrete linear augmentation system which is provided with a state observer and has unknown parameters in a system matrix is constructed, and performance optimization indexes are defined; on the basis of a separation principle, dynamic programming and a learning method, a non-strategy learning algorithm with unknown model parameters is presented, and an approximate optimal observer is designed, and an approximate optimal controller is designed, and therefore, a non-strategy learningalgorithm that fully utilizes measurable system output and control input data can be obtained; and an observer state feedback-based system optimization control strategy is realized. The method of theinvention does not require all system model parameters to be known, does not require system state parameters to be directly measurable, and can utilize measurable data to achieve the optimization ofspecified performance indexes.

Description

technical field [0001] The invention relates to an optimal control method, in particular to an optimal control method based on non-strategic observer state feedback. Background technique [0002] A class of dynamic systems that obtain estimated values ​​of state variables based on the measured values ​​of external variables (input variables and output variables) of the system is called a state reconstructor. In the early 1960s, in order to achieve state feedback or other needs for the control system, D.G. Luenberg, R.W. Bass, J.E. Bertrand and others proposed the concept and construction method of the state observer, and solved the inability to directly understand the state through the reconstruction method. problem of measurement. The method of constructing a state observer varies according to the needs. The simplest is the open-loop state observer. The open-loop observer has poor anti-interference to external interference and sensitivity to parameter changes. The closed-...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04
Inventor 李金娜
Owner LIAONING UNIVERSITY OF PETROLEUM AND CHEMICAL TECHNOLOGY
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