Multi-controller optimal state estimation control strategy design method based on Kalman filtering

Abstract

The invention discloses a multi-controller optimal state estimation control strategy design method based on Kalman filtering, and the method comprises the steps: firstly carrying out the system modeling of a wireless networking control system, and analyzing the impact on the closed-loop control of the system when there is network transmission time delay in the wireless networking control system; secondly carrying out the research of the information fusion of distributed controllers, and constructing a network control optimization problem based on double distributed controllers; finally carrying out the Kalman filtering analysis of the platform state information received by the two controllers through employing a Kalman filtering algorithm, solving an optimal state estimation control strategy through an iteration regression method, and verifying the feasibility through a simulation experiment. The method solves a problem of an optimal state estimation control strategy of the distributedcontrollers when there is the transmission time delay in a wireless communication network and the accurate platform state information cannot be obtained because of the noise interference, thereby achieving a purpose of improving the stability of the networking control system and reducing the system loss through the cooperative control of the distributed controllers.

Description

technical field [0001] The invention belongs to the technical field of wireless networked control, in particular to a Kalman filter-based multi-controller optimal state estimation control strategy design method. Background technique [0002] In recent years, with the vigorous development of control technology, network communication technology and computer network technology, wireless networked control system has attracted more and more attention and favor of researchers. A wireless network-based networked control system (networked control system, NCS) actually refers to the formation of one or more closed control loops between sensors, controllers, and actuators through a wireless communication network, and at the same time has signal processing, optimal decision-making, and control. operation and other functions. The controllers can be distributed in different places in the wireless network, breaking the limitation of the physical space location of the traditional network ...

AI Technical Summary

Problems solved by technology

However, in wireless networked control systems based on distributed multi-controllers, the optimal control strategy based on platform state estimation has been an unsolved problem.

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