Paper Title:
An Improved Particle Swarm Optimization Approach for Temperature Control in HVAC for the Purpose of Energy Saving
  Abstract

Good dynamic performance of a system have great significance in the traditional sense, furthermore,it is more important at the point of energy saving. Particle swarm optimization (PSO) is a novel evolutionary algorithm which has a better convergence rate and computation precision compared with other evolutionary algorithms. In this paper an optimal design of PID controller based on particle swarm optimization approach for temperature control in HVAC is presented. The results show the adjustment of PID parameters converting into the optimal point and the good control response based on the optimal values by the PSO technique, and thus it achieves the purpose of energy savings.

  Info
Periodical
Advanced Materials Research (Volumes 383-390)
Chapter
Chapter 19: Modeling, Analysis, and Simulation of Manufacturing Processes II
Edited by
Wu Fan
Pages
4768-4774
DOI
10.4028/www.scientific.net/AMR.383-390.4768
Citation
J. Zhang, K. Y. Zhang, "An Improved Particle Swarm Optimization Approach for Temperature Control in HVAC for the Purpose of Energy Saving", Advanced Materials Research, Vols. 383-390, pp. 4768-4774, 2012
Online since
November 2011
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Price
$32.00
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