Electro hydraulic servo system self-correction fuzzy PID control method

An electro-hydraulic servo system and self-correction technology, applied in the field of control algorithms of electro-hydraulic servo systems

Inactive Publication Date: 2014-08-13
张万军
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AI Technical Summary

Problems solved by technology

If the general PID control does not have self-correction, only experienced technicians can determine the parameters of the PID control object through a large number of experiments and manual methods according to the step response curve of the controlled object.

Method used

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  • Electro hydraulic servo system self-correction fuzzy PID control method
  • Electro hydraulic servo system self-correction fuzzy PID control method
  • Electro hydraulic servo system self-correction fuzzy PID control method

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Embodiment Construction

[0028] The present invention and its implementation will be further described in detail below in conjunction with the accompanying drawings.

[0029] Such as figure 1 As shown, a method for self-correcting fuzzy PID control of an electro-hydraulic servo system comprises the following steps:

[0030] Step 1. Determine the input and output of the self-correcting fuzzy PID controller

[0031] Taking the electro-hydraulic servo control mechanism as the controlled object, taking the error E between the feedback value of the controlled object and the target value and the error change rate EC as the input of the fuzzy PID controller, the parameter variation △k of the fuzzy PID controller p , Δk i and Δk d as output;

[0032] Step 2. Select input quantity, output quantity membership degree and its domain of discussion

[0033] Input deviation e and deviation change rate ec, and output △k p , Δk i and Δk d The domain of variable fuzzy set is [-M, M], and its membership function...

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Abstract

The invention discloses an electro hydraulic servo system self-correction fuzzy PID control method. In the prior art, the problems that error accuracy is not high and stability and adaptability are not high exist. According to the self-correction fuzzy PID control method, an electro hydraulic servo control mechanism serves as a controlled object, a feedback value of the controlled object and the error E and the error change rate EC of a target value serve as input of a fuzzy PID controller, appropriate fuzzy control rules are set, parameter self-correction is conducted on PID parameters including Kp, Ki and Kd through a fuzzy reasoning method, the requirements of E and EC on PID parameter control at different moments can be met, the variable quantities including delta kp, delta ki and delta kd of PID controller parameter values are output, and the PID parameters are corrected on line according to the self-correction fuzzy control rules. The electro hydraulic servo system self-correction fuzzy PID control method overcomes the disadvantages caused by manual PID parameter correction, online real-time self-correction is achieved for the PID parameters, high robustness is achieved for system parameter correction, and therefore error accuracy and stability of the system are improved, and high application value is achieved.

Description

technical field [0001] The invention relates to the technical field of control algorithms of an electro-hydraulic servo system, and more specifically relates to a method for self-correcting fuzzy PID control of an electro-hydraulic servo system. Background technique [0002] The electro-hydraulic servo control system has the characteristics of fast response, high control precision, and strong anti-interference ability, and is widely used in various industrial equipment integrating machinery, electricity, and hydraulics. However, the electro-hydraulic servo position system is a typical nonlinear system, and there are uncertainties. The parameter change system changes and the load interferes with the control object, which makes the designed system not ideal. At the same time, the overshoot of the electro-hydraulic servo system control is too large. , The error accuracy is not high, and the stability is not strong. If fuzzy control is used, it is not necessarily applicable to ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04
Inventor 张万军
Owner 张万军
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