Consistency Control Of Multi-agent System Based On FPGA

In recent years, the multi-agent systems develop rapidly and the same time, the applications of related equipments have been widely used. These devices of multi-agent systems often show highly nonlinear characteristics. But these nonlinearity characteristics lead to various undesirable factors such as many harmonics at the power supply side, increasing the virtual work, reducing system efficiency and power factors. To overcome these problems, the finite time convergence filter controllers of the muti-agent have been widely discussed and researched.Because the fuzzy controllers with self-adjustment factors use unknown system parameters and instantaneous response and convergence are better than the basic fuzzy controller, this thesis give the filter design of the consistent multi-agent with a effective time convergence fuzzy controller for improving harmonic.In this thesis, based on the parallel power filter structure of the multi-agent, the DC capacitor voltage is as the feedback signal and then through the self-adjustment factor fuzzy controller is to control the PWM switch, and in the end generate the compensation current. Nowadays, the digtal controllers are widely used in the industry. This thesis presents a fuzzy controller with self-adjustment factors.A muti-agent system model is given by Matlab Simulink using the FPGA to implement consistency control of multi-agent system.