Researching optimization problems of controller is need of industrial process control ,in which PID controller is widely used,which its parameters can be equivalent to optimization problems. In the industrial control the PID controller is widely used in excitation control system to improve its control performance.In order to find the optimal PID controller parameters effectively ,a kind of Adaptive Particle Swarm Optimization method (CAPSO) based on Cloud Theory is applied to fuzzy PID controller. Through the establishment of particle swarm algorithm of fuzzy PID controller parameters optimization model, which it can be used to optimize the membership function of fuzzy PID controller. Particle code adopts real coding. Particle dimension is related with the number of the input variables divided by fuzzy set and the number of control rules of whole fuzzy control system, thus the parameters of PID control are optimized on real time. The result from the simulation shows that compared with PID control and fuzzy control this system has several advantages which are small overshoots ,fast response ,and good stable performance to improve the control performance of excitation control system.
The reactive compensation controller using MC9S08AW60 chip and ATT7022A is introduced. The detail design of the hardware and software is illustrated too.
According to faulty phase selection demand in the computer protection, DSP and AD7656 are used to make the voltage and current sampling, and make the data processing, select the faulty phase by symmetrical components selection method. The hardware and software design of the faulty phase selection device is provided. The overall hardware program and key design is given in this paper, meanwhile the software flow chart is given and the key algorithm is analyzed and interpreted.
The harm of high three-phase unbalance factor and low power factor is introduced. The design of hardware and software process is given. The design of AD circuit , adjust circuit , frequency detection circuit and thyristor switch circuit is illustrated.
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