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提出一种基于滑模干扰控制律的WSN(wireless sensor network)数据反步融合算法。在常规的滑模控制律下加入一个控制干扰补偿项,结合WSN传输的交通数据多状态随机分布特征,把控制律变换到S域中。对WSN数据进行逆序排列反步融合,在数据融合中加入反步融合函数,采用可靠性分配机制使得数据融合接近真实值,实现对交通的智能调度和稳态控制。仿真实验表明,采用该算法进行交通数据融合处理和智能交通控制,能使WSN节点能耗降低,有效抑制控制稳态误差,交通通行能力有较大提高。
A wireless sensor network (WSN) data backstepping algorithm based on sliding mode interference control law is proposed. A control interference compensation term is added under the conventional sliding mode control law. Combined with the multi-state random distribution of traffic data transmitted by WSN, the control law is transformed into S-domain. The reverse order fusion of WSN data was performed, and the backstepping function was added to the data fusion. The reliability allocation mechanism was adopted to make the data fusion close to the true value, and the intelligent scheduling and steady state control of traffic were realized. Simulation results show that this algorithm can reduce the energy consumption of WSN nodes, control the steady-state error effectively and improve the traffic capacity greatly by adopting the algorithm for traffic data fusion and intelligent traffic control.