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Sponsored by the Center for Science and Technology Development of the Ministry of Education
Supervised by Ministry of Education of the People's Republic of China
In wireless network environment, the limited energy of nodes is the main problem affecting control performance and running of system. The relationship between the sampling period and life span is given based on energy consumption analysis. Then an adaptive sampling method is designed to control energy consumption of wireless nodes from both the requirements of control performance and network life span. The life span is predicted online using the known information of remaining energy and consumption rate. Under the constrains of stability and schedulability, the bounds of sampling period are determined. The sampling period is adjusted dynamically according to control error and life span error under a priori rule. So, the life span can be prolonged while the control quality is guaranteed. The effectiveness of the method proposed is validated by a numerical example on the Matlab and Truetime platform.
Keywords:wireless networked control systems; energy; adaptive sampling; control