2012•Computer Engineering and Applications JournalOpen access

Predictive control system with proportional-integral structure and stability analysis

Guoquan Liu

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Abstract

Based on Generalized Predictive Contro(lGPC)and PID feedback control,the predictive control system with Proportional-Integra(lPI)structure introduced by this paper transforms GPC objective performance function into one with PI structure.The controller outputs multi-step control sequence according to the objective performance function and feedback delay.Delay compensator picks out control signal from the sequence to compensate time delay.So the system performance is improved greatly.Combining PID control and predictive control advantages,the controller has strong robustness.The stability of the closed-loop system is analyzed.Simulation results demonstrate the effectiveness of the algorithm.

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What this paper is about

Based on Generalized Predictive Contro(lGPC)and PID feedback control,the predictive control system with Proportional-Integra(lPI)structure introduced by this paper transforms GPC objective performance function into one with PI structure.The controller outputs multi-step control sequence according to the objective performance function and feedback delay.Delay compensator picks out control signal from the sequence to compensate time delay.So the system performance is improved greatly.Combining PID control and predictive control advantages,the controller has strong robustness.The stability of the closed-loop system is analyzed.Simulation results demonstrate the effectiveness of the algorithm.

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Available abstract

Based on Generalized Predictive Contro(lGPC)and PID feedback control,the predictive control system with Proportional-Integra(lPI)structure introduced by this paper transforms GPC objective performance function into one with PI structure.The controller outputs multi-step control sequence according to the objective performance function and feedback delay.Delay compensator picks out control signal from the sequence to compensate time delay.So the system performance is improved greatly.Combining PID control and predictive control advantages,the controller has strong robustness.The stability of the closed-loop system is analyzed.Simulation results demonstrate the effectiveness of the algorithm.

Key concepts: Control theory (sociology), PID controller, Model predictive control, Robustness (evolution), Stability (learning theory), Control system, Computer science, Smith predictor

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