2012•Kongzhi yu jueceRequires access

Design of self-adjusting PID controller for networked control systems

Guoquan Liu

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Abstract

Combined with generalized predictive control(GPC) method and PID feedback structure,a PID controller which has predictive function is presented.The PID parameters can be adjusted according to the future output error.The controller outputs a series of multi-step control sequence.According to network time delay,the delay compensator picks out control signal from the sequence to compensate time delay,so the system performance can be improved greatly.Combining the advantages of PID control and predictive control,the controller has strong robustness.Finally,the stability of the closed-loop system is analyzed,and simulation results show the effectiveness of the proposed algorithm.

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What this paper is about

Combined with generalized predictive control(GPC) method and PID feedback structure,a PID controller which has predictive function is presented.The PID parameters can be adjusted according to the future output error.The controller outputs a series of multi-step control sequence.According to network time delay,the delay compensator picks out control signal from the sequence to compensate time delay,so the system performance can be improved greatly.Combining the advantages of PID control and predictive control,the controller has strong robustness.Finally,the stability of the closed-loop system is analyzed,and simulation results show the effectiveness of the proposed algorithm.

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Available abstract

Combined with generalized predictive control(GPC) method and PID feedback structure,a PID controller which has predictive function is presented.The PID parameters can be adjusted according to the future output error.The controller outputs a series of multi-step control sequence.According to network time delay,the delay compensator picks out control signal from the sequence to compensate time delay,so the system performance can be improved greatly.Combining the advantages of PID control and predictive control,the controller has strong robustness.Finally,the stability of the closed-loop system is analyzed,and simulation results show the effectiveness of the proposed algorithm.

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

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