Multi-sensor estimation performance method in wireless network control system
A wireless network control and performance estimation technology, which is applied in the transmission system, wireless communication, baseband system components, etc., can solve problems such as difficulty in obtaining, limited transmission distance, wireless channel fading and interference, etc., to achieve estimation performance optimization, Scheduling Sensor Reduced Effect
Active Publication Date: 2017-12-01
ZHEJIANG SCI-TECH UNIV
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Problems solved by technology
On the other hand, there are problems such as fading and interference of wireless channels in WNCSs, energy-saving requirements of wireless nodes (such as wireless sensors), and limited communication channels, bandwidth, and spectrum resources, which have become obstacles to the research and application of WNCSs.
In addition, for the problem of packet loss in wireless channels, the existing research mainly focuses on single-sensor estimation. This estimation mode is difficult to obtain comprehensive and stable information and the transmission distance is limited, which cannot meet the performance requirements of the continuously improving control system.
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Embodiment 1
[0027] Such as Figure 1 to Figure 8 As shown, a multi-sensor performance estimation method in a wireless network control system includes the following steps:
[0028] (1) Obtain the sensor parameters of the wireless network control system, and establish the dynamic characteristics of the process and the sensor measurement equation:
[0029]
[0030] where A∈R n*n Denotes the system matrix, C∈R m*n Represents the observation matrix with full rank of rows, x k ∈R n and y k ∈R m represent the state and measurement of the sensor, respectively, w k ∈R n and υ k ∈R m is a Gaussian process with zero mean, Q is w k The covariance matrix of R is v k The covariance matrix of , satisfying Q>0 and R>0; the initial state of the system x 0 is mean 0 and covariance matrix P 0 >0 Gaussian random vector, w k , v k and x 0 are independent of each other;
[0031] (2) Connect multiple sensors, set two channels between every two sensors, and set the parameters of each channel ...
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The invention relates to the technical field of network control and discloses a multi-sensor estimation performance method in a wireless network control system. The method comprises the steps of (1) acquiring sensor parameters of a wireless network control system, and establishing dynamic characteristics of the process and sensor measurement equations; 3) connecting multiple sensors and setting up two channels between every two sensors; using one of the connected channels for data transmission, and switching the channel if packet dropout starts to occur to this channel; and calculating prediction values and prediction error covariance matrices of the sensors of the single channel and at the center of the multiple channels; and (3) comparing the transmission performance of the two sensors through the two channels, and according to the data conditions of the prediction values and the prediction error covariance matrices completed on the channels in the step (2), generating a comparative plot of the multiple channels. According to the invention, that the sensors are effectively scheduled in a multi-channel transmission system is ensured by using a Kalman filtering algorithm to reduce the estimation error.
Description
technical field [0001] The invention relates to the technical field of network control, in particular to a multi-sensor performance estimation method in a wireless network control system. Background technique [0002] With the development of modern communication science and technology, wireless networked control systems (WirelessNCSs, WNCSs) are gradually replacing traditional wired networked control systems. Compared with wired networks, wireless networks transmit data through wireless media, thus eliminating the need for The complex installation and wiring process also makes the maintenance and upgrade of the system more convenient in the future, effectively saving the cost of use. Because there are nodes that can move in the network in WNCSs, and the communication range of the system is only affected by the number of nodes and the power of transmission and reception, and will not be controlled by wiring, so this increases the mobility and expansion of the system sex. Mo...
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IPC IPC(8): H04W24/02H04W24/08H04L25/02H04B17/309H04B17/391
CPCH04B17/309H04B17/3913H04L25/021H04W24/02H04W24/08
Inventor 胡亮任祝
Owner ZHEJIANG SCI-TECH UNIV