Simulation and Research for Generalized Predictive Control

Xiao Li Yu

doi:10.4028/www.scientific.net/AMR.694-697.2205

Paper Titles

Application Research on H^∞ Optimization Control of Permanent Magnet Linear Servo System Based on Adaptive Fuzzy Control Strategy
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Fuzzy Predictive Control for a Tubular Heat Exchanger System
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Research on Control Strategy of Photovoltaic/Battery Hybrid Generation System
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Simulation and Research for Generalized Predictive Control
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Study on Maximum Power Tracing Controller Based on Self-Adaptive Strategy for Variable Speed Constant Frequency Brushless Doubly-Fed Generator
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Fuzzy PID Control in the Casting of Hydraulic AGC System Application
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PLC Control and Study of Line Output Roller Bar Cooling Bed Hydraulic Station
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Research for the Control Software of Six-Freedom Simulation Platform Based on RTX
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 694-697Simulation and Research for Generalized Predictive...

Simulation and Research for Generalized Predictive Control

Abstract:

This paper presents analysis and experiments for Generalized Predictive Control (GPC) algorithm based on software simulation. First, we illustrate the time invariant GPC algorithm in detail. Then, we describe the principle for the control parameter selection of GPC based on empirical results. The Recursive Least Square (RLS) algorithm will be used to identify model parameters in the self-tuning GPC. The performance of GPC algorithm is validated by simulation results, which show that the algorithm has rapid and accurate dynamic responses for input signals, such as step signal and square wave. When the model parameters are unknown, with the assistance of RLS, the self-tuning GPC algorithm also presents good performance and robustness capability, even when white Gaussian noise exists.

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Periodical:

Advanced Materials Research (Volumes 694-697)

Pages:

2205-2210

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.694-697.2205

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Online since:

May 2013

Authors:

Xiao Li Yu

Keywords:

Generalized Predictive Control (GPC), Self-Tuning, Simulation

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