Earticle

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

Abstract
 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

키워드

저자

• Daping Liang [ School of Electronic Information and Electrical Engineering, Tianshui Normal University, Tianshui 741000, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605