Paper Title:
Application Research of PID Control Optimized by GBLB-PSO in HVAC System
  Abstract

Parameter optimization of PID control is always a hot spot in the research field of control, and control effect of PID depends on the parameter values: proportion, integral and differentiation. This paper puts forward a global best and local best PSO algorithm, which is an optimization strategy of PID, the result of this method making the system have small overshoot and short adjusting time. The optimization scheme of this paper will be used in the control of HVAC system. through simulation, it is shown that there is good effect, such as non-overshoot and short adjusting time. Compared with the traditional method, performance of this algorithm is well improved and optimized objective function is decreasing.

  Info
Periodical
Advanced Materials Research (Volumes 219-220)
Edited by
Helen Zhang, Gang Shen and David Jin
Pages
1325-1328
DOI
10.4028/www.scientific.net/AMR.219-220.1325
Citation
Q. Liu, Y. D. Du, "Application Research of PID Control Optimized by GBLB-PSO in HVAC System", Advanced Materials Research, Vols. 219-220, pp. 1325-1328, 2011
Online since
March 2011
Authors
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: S. Jiang, Yan Shen Xu, J. Wu
Abstract:To improve the cutting efficiency, one of key approaches is to control with constant force in the full depth working condition. And the...
85
Authors: Zheng Mei Cheng, Xiao Ding Guo, Xiao Ke Chen, Jing Xin Deng
Abstract:The voltage stability of test power source system about small locomotive is poor, and the response speed is slow. The theory of adaptive...
240
Authors: Jun Zhang, Kan Yu Zhang
Chapter 19: Modeling, Analysis, and Simulation of Manufacturing Processes II
Abstract:Good dynamic performance of a system have great significance in the traditional sense, furthermore,it is more important at the point of...
4768
Authors: Yi Shen, Qi Wang, Zhao Li Ye, Juan Chen, Ming Xin Yuan
Chapter 4: Mechatronics System Modeling and Identification
Abstract:To solve the motion control of mobile robot, a PID control optimized by improved immune clonal algorithm is presented. On the basis of immune...
269
Authors: Yu Min Yang, Xi Ping Wang, Li Guo, Man Fan
Chapter 1: Technique of Magnetism
Abstract:The digital PID controller system for magnetic bearing was described in this paper which combined Matlab technique with simulation of the...
24