2014•Applied Mechanics and MaterialsOpen access

Study of PID Control Algorithm Based on the Critical Ratio Method

Wen Bin Wang, Dao Yuan Liu, Yu Qin Yao

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Abstract

PID control is one of the earliest control strategy and till has the most widely use in the industrial process at the present. The PID parameter tuning and optimizing decide what the control performance of the control system can achieve. PID parameter tuning is the core content in control system design. In this paper, aiming at the complexity of PID parameter tuning process, the critical ratio method was optimized and propose a simple and effective method of tuning PID parameters. By simulation, this method turn out to be simple and effective, good real-time performance.

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What this paper is about

PID control is one of the earliest control strategy and till has the most widely use in the industrial process at the present. The PID parameter tuning and optimizing decide what the control performance of the control system can achieve. PID parameter tuning is the core content in control system design. In this paper, aiming at the complexity of PID parameter tuning process, the critical ratio method was optimized and propose a simple and effective method of tuning PID parameters. By simulation, this method turn out to be simple and effective, good real-time performance.

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Available abstract

PID control is one of the earliest control strategy and till has the most widely use in the industrial process at the present. The PID parameter tuning and optimizing decide what the control performance of the control system can achieve. PID parameter tuning is the core content in control system design. In this paper, aiming at the complexity of PID parameter tuning process, the critical ratio method was optimized and propose a simple and effective method of tuning PID parameters. By simulation, this method turn out to be simple and effective, good real-time performance.

Key concepts: PID controller, Control theory (sociology), Process (computing), Process control, Core (optical fiber), Control engineering, Simple (philosophy), Control (management)

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