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PID parameter setting optimization method based on improved Bayesian model

A Bayesian model and parameter tuning technology, applied in the field of PID controllers, can solve problems such as comprehensive search that is difficult to achieve global optimal and local optimal

Pending Publication Date: 2020-11-27
CHINA RAILWAY IND GRP EQUIP ENG CO LTD
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Problems solved by technology

However, the above algorithm is also easy to fall into local optimum, and it is difficult to realize the comprehensive search of global optimum and local optimum.

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  • PID parameter setting optimization method based on improved Bayesian model
  • PID parameter setting optimization method based on improved Bayesian model
  • PID parameter setting optimization method based on improved Bayesian model

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Embodiment Construction

[0056] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below may be combined with each other as long as they do not constitute a conflict with each other.

[0057] Taking a feed servo system as an example, given the mathematical model of the control system, the transfer function is shown in formula (16):

[0058]

[0059] Among them, G(s) means that the function uses Laplace transform to convert the continuous time function of time t into a function whose parameter is a complex number s. is the torque coefficient of the motor, Is the back EMF...

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Abstract

The invention discloses a PID parameter setting optimization method based on an improved Bayesian model. The method comprises the following steps: constructing an optimization model of a PID control system, and selecting an objective function which is an error absolute value time integral performance index; establishing an agent model of a PID parameter space and an objective function value spaceto realize efficient prediction of an unknown parameter objective function value; establishing a selection function of PID parameters, and realizing automatic iterative exploration of PID optimal parameters; performing an optimal parameter space reduction strategy; and determining a termination condition of iterative search, and outputting an optimal parameter and a performance index thereof. According to the method, on the basis of an improved Bayesian model, an agent model from a PID parameter space to an objective function value space is constructed, and efficient prediction of an unknown parameter objective function value is realized. By establishing a selection function for PID parameters, effective exploration of a potential optimal solution in an unknown parameter space is realized,so that the optimization efficiency and effect of the algorithm are improved.

Description

technical field [0001] The invention relates to the field of PID controllers of engineering machinery, in particular to a PID parameter setting optimization method based on an improved Bayesian model. Background technique [0002] Due to its simple structure, good robustness and high reliability, PID control is the most widely used control strategy in industrial process control. According to the control deviation between the given value and the actual output value, the control quantity is formed according to the linear combination of the deviation's proportional (Proportional), integral (Integral) and differential (Derivative), and realizes the control of the controlled object. However, the prior art mainly adopts the manual tuning method for the control parameters of the PID controller, and it is difficult to realize the optimal control of the nonlinear and large-delay control system. Therefore, exploring a better parameter tuning method of PID controller is an effective w...

Claims

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Application Information

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IPC IPC(8): G05B11/42
CPCG05B11/42
Inventor 张凌云刘涛尚伟樊万文朱红亮任进沈航汤自彪张锋田九一薛峰唐志刚王永强兰青山孟继瑜
Owner CHINA RAILWAY IND GRP EQUIP ENG CO LTD
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