원문정보
초록
영어
In the process of freshwater fish farming in pond, the levels of dissolved oxygen must be monitored by creating a closed loop PID control system. But traditional PID controller has weak stability and slow response speed, because dissolved oxygen changes with delay. In this paper, a PID control algorithm with optimal Smith predictor is proposed, to eliminate negative effects caused by delay component. The result of experiment data indicates that the optimal algorithm can reduce settling time and overshoot, and has better robustness and disturbance rejection performance than traditional PID controller. Meanwhile, a hardware circuit design plan based on ARM Cortex-M3 embedded processor is supposed, which gets stronger performance than C51 MCU control system with traditional PID algorithm. The hardware selection and plan design realize high cost performance, it is valuable to small and medium freshwater aquaculture enterprises.
목차
1. Introduction
2. PID Controller Design Based on Smith Predictor
2.1. Traditional Smith Predictor Model
2.2. Discussion on Additive Uncertainty Input D(s)
2.3. Model Identification of the Controlled Plant
2.4. PID Controller with Smith Predictor Tuning
3. Embedded Control System Hardware Circuit Design Based on ARM Cortex-M3
4. Experimental Data Analysis
5. Conclusion
References