Predictive compensation for Networked Cascade Control Systems with uncertainties
In practical industrial process Networked Control Systems(NCS) with network delay is very common and the traditional approach is using the effective data used previous until the new data arrive. This paper presents a control compensation strategy, in this method the system contains a Networked Predictive Control Generator(NPCG) and a Network Predictive Control Compensator(NPCC), and the NPCG use its internal model to extrapolate the control signal based on the model of the signal and the data received previous and the NPCC will choose one control signal from the control sequence as the input of actuator based on the time stamp and the network delay. For illustrating the performance of the proposed control strategy, simulation of the Two-tank system with/without compensation and the traditional PID control have been carried out and analysis in details.
networked predictive cascade control adaptive linear neural network networked delay
YANG Hongguang KANG Yu KUANG Sen
Department of Automation, University of Science and Technology of China, Anhui Hefei 230027 , P. R. China
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
4256-4260
2012-07-01（万方平台首次上网日期，不代表论文的发表时间）