Predictive Controller Design and Simulation of Time-Varying System Based on IGPC

Abstract:

An adaptive predictive controller is proposed to solve the time-varying characteristics of the industrial process control system. The arithmetic of implicit expression generalized predictive control（IGPC） is put forward to compute the optimal control signal increment. In order to decrease the computing work and increase the computing speed, the system input/output data are used to identify the controller parameters directly and the plant model parameters are unnecessary. Simulation results show that the controller can track the change of setting value excellently even though without any prior information of controlled system, and have excellent adaptive abilities for the changes of system external disturbing signals and model parameters.

• Periodical: Advanced Materials Research (Volumes 291-294)
• Pages: 2647-2651
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.291-294.2647
• Online since: July 2011
• Authors: Qin He Gao, Wen Liang Guan
• Keywords: Generalize Predictive Control, Nonlinear System, Simulation, Time-Varying

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