The main steam pressure control system of boilers has a lot of characteristics, include the large inertia, the highly delay, and the nonlinear and time-varying, there are many disturbance factors in its operation and it is hardly to control. In order to solve this situation, this article integrates the advantages of the Fuzzy Control and the PID control. We design the fuzzy-PI controller by combining the SIMULINK and FUZZY tool box organically. The simulation results show that this control method greatly enhances the control effect of the nonlinear, hysteresis system, and improves the system's flexibility and adaptability.
The appropriate blood pressure, as an important physiological parameter for reflecting the status of cardiovascular system, can maintain the normal metabolism of human body. In this paper, the electronic sphygmomanometer system based on the oscillometry adopts the MSP430 microcomputer as the core microprocessor, the pressure sensor as signal collector, LM324 as the core analog signal processing chip. The system consists of the cuff with inner air bag, baroceptor, signal processing unit, gas-charging or degassing unit and microprocessor. Controlled by the microprocessor the gas-charging or degassing unit can inflate or deflate the cuff, and the pressure signal from the pressure sensor is processed by the signal processing unit to become the blood pressure value by using oscillography. The system can reduce the number of chips and components as far as possible, featuring low cost and consumption.
Draught fan system of boiler is a nonlinear, strong interference and large delay complexity system, conventional control theory is difficult to achieve satisfactory control performance. According to the characteristics of the power plant boiler draught fan system, this paper puts the rules and reasoning mechanism of fuzzy control application in the parameters calibration of the conventional PID controller and design a fuzzy adaptive PID controller, using fuzzy reasoning method to achieve PID parameters on-line self-tuning. Simulation results show that the control scheme is superior to the conventional PID control's effect, and has good dynamic characteristics and stability.
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