Design and Simulation of Fuzzy Control in Network Control Systems

摘要

Generally, the feedback control systems using a network system in their loops are called the network control system (NCS). NCSs are divided into two main types: local NCSs and wide NCSs. In local NCSs, components are connected to each other by local connections. Normally, it is possible to determine the network effective parameters on the control system, such as delay and information loss in these systems. There are wide NCSs in contrast to these systems these systems are distributed and the components of the system are interconnected by the local network and the Internet. The time delay plays an important role in the implementation of the real-time NCS. This can make the NCS system unstable and make its realization and stability harder to achieve. Communication networks inevitably cause delay in NCSs. Therefore, the delay is necessary to be compensated. The time used by the system depends on network characteristics such as topology and routing algorithms used in the network. In the present study, the objective was to design and simulate fuzzy control of NCSs, and TrueTime and LMI toolboxes were used to simulate a fixed delay network. The Takagi-Sugeno (T-S) fuzzy model method was used to design the fuzzy controller.