Self Tuning of PID Controller Based on Simultaneous Perturbation Stochastic Approximation

机译：基于同时摄动随机逼近的PID控制器自整定

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A model need to be identified for the controlled plant when applying advanced strategies to determine the parameters of a PID controller. An online, model-free parameter tuning method is proposed based on simultaneous perturbation stochastic approximation in order to free the control system from plant model. The main idea for this tuning method is to use the highly efficient simultaneous perturbation approximation to the gradient of performance index function for PID controller. All parameters of PID controller can be tuned online by stochastic approximation. Simulation results show that satisfactory performances can be obtained using the proposed tuning method.

机译：应用高级策略确定PID控制器的参数时，需要为受控工厂确定模型。为了使控制系统脱离工厂模型，提出了一种基于同时扰动随机逼近的在线无模型参数整定方法。这种调整方法的主要思想是对PID控制器的性能指标函数的梯度使用高效的同时摄动近似。 PID控制器的所有参数都可以通过随机逼近在线调整。仿真结果表明，使用所提出的调谐方法可以获得令人满意的性能。

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《International conference on electronic engineering, communication and management;EECM 2011》|2011年|p.647-652|共6页
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Ping Xu; Geng Li; Kai Wang;
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中图分类通信;
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PID controller; two degree-of-freedom (2-DOF); tuning method; simultaneous perturbation stochastic approximation (SPSA);

机译：PID控制器两个自由度（2-DOF）;调谐方法;同时扰动随机逼近（SPSA）;

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Self Tuning of PID Controller Based on Simultaneous Perturbation Stochastic Approximation

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