PID Controller Parameters Identification Based on Data Model

Abstract:

To tune PID controller’s parameters, the algorithm based on the Data-Model of Controlled plant is presented. With input and output data, Data Model as well as the feature data of controlled plant is identified by the Convolution Equation, and then the fastest control signal referenced to ideal fastest response is calculated according to the constraint condition of control signal. Finally, the closed loop control system of the controlled plant is designed, and the PID parameters are identified by the Least-Squares-Method (LSM) with the data of the fastest control signal.

• Periodical: Advanced Materials Research (Volumes 433-440)
• Pages: 4254-4261
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.433-440.4254
• Online since: January 2012
• Authors: Qing Bo Meng, Yi Xin Yin, Gui Ling Qiao
• Keywords: Data Model, Fastest Response, Least-Square Method (LSM), PID Parameters Identification

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