• DocumentCode
    3023904
  • Title

    Optimization of PID Parameters for Mine Hoisting DTC System Based on Chaos Theory

  • Author

    Ma Xian-Min ; Guo Lin

  • Author_Institution
    Coll. of Electr. & Control Eng., Xi´an Univ. of Sci. & Technol., Xi´an, China
  • Volume
    2
  • fYear
    2009
  • fDate
    7-8 Nov. 2009
  • Firstpage
    128
  • Lastpage
    131
  • Abstract
    Based on chaos optimization theory a novel optimization design scheme of PID speed controller parameters is proposed for the mine hoist direct torque control (DTC) system in this paper. The Logistic mapping process from sequence state to chaos state is introduced, and the strategy of chaos optimization PID controller parameters is discussed. According to the ergodicity and random characteristics of chaos dynamics, the PID controller parameters are optimized in real time by mean of both rude and precision searching procedures in order to make the mine hoist move stable in different operation conditions. The theory analysis and simulation results show that the proposed design method of PID controller optimization parameters based on chaos theory has some virtues of the fastest response time and small overshoot compared with the traditional tuning method.
  • Keywords
    chaos; hoists; optimisation; three-term control; torque control; PID speed controller parameters; chaos optimization theory; direct torque control; logistic mapping process; mine hoisting DTC system; precision searching procedures; Analytical models; Chaos; Control engineering; Control systems; Design optimization; Educational institutions; Motion control; Regulators; Three-term control; Torque control; DTC system; PID parameters; chaos theory; mine hoist; optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3835-8
  • Electronic_ISBN
    978-0-7695-3816-7
  • Type

    conf

  • DOI
    10.1109/AICI.2009.38
  • Filename
    5376411