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Intelligent optimization method of PID controller parameters

An intelligent optimization and controller technology, applied in the direction of electric controllers, controllers with specific characteristics, etc., to achieve good response effects, excellent performance indicators, and improved adjustment effects

Inactive Publication Date: 2020-03-17
GUANGDONG POLYTECHNIC NORMAL UNIV
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Problems solved by technology

[0010] Aiming at the problem existing in the prior art that the current industry still lacks a hybrid optimization algorithm combining immune algorithm and particle swarm optimization algorithm, the present invention provides an intelligent optimization method for PID controller parameters

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  • Intelligent optimization method of PID controller parameters
  • Intelligent optimization method of PID controller parameters
  • Intelligent optimization method of PID controller parameters

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Embodiment Construction

[0064] The present invention will be further described below in conjunction with drawings and embodiments.

[0065] see Figure 1-12 , a PID controller parameter intelligent optimization method, comprising:

[0066] S1. Establish the simulation model of the water wheel regulating system, and set the objective function according to the preset performance evaluation index; in order to prevent excessive overshoot, adopt the strategy of increasing the penalty factor, improve the ITAE performance index, and update the fitness objective function formula. The objective function is:

[0067]

[0068] where the weight constant ω 1 = 0.999, ω 2 =0.001, ω 3 >>ω 1 , take ω 3 =100.

[0069] S2, adopt the Z-N engineering setting method to obtain the parameters of the PID controller 11 in the simulation model of the water wheel regulating system; wherein the parameters of the PID controller 11 include a proportional coefficient Kp, an integral coefficient Ki, and a differential coe...

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Abstract

The invention relates to an intelligent optimization method of PID controller parameters. The method comprising the following steps: S1, building a water wheel adjusting system simulation model, and setting a target function according to a preset performance evaluation index; S2, calculating parameters, including a proportionality coefficient Kp, an integral coefficient Ki and a differential coefficient Kd, of a PID controller in the water wheel adjusting system simulation model by adopting a Z-N engineering setting method; S3, initializing all parameters of the water wheel adjusting system simulation model and an algorithm; and S4, optimizing PID controller parameters by adopting a mixed algorithm consisting of a standard particle swarm algorithm and an immune particle swarm algorithm. After simulation, the PID control adjusting effect of the hydroelectric generation water turbine is well improved; the performance index realized by the immune self-adaptive particle swarm algorithm isbetter than that realized by the standard particle swarm algorithm; no large overshoot occurs; the adjusting time is shorter; and the response effect on step signals is improved.

Description

technical field [0001] The invention relates to the technical field of hydroelectric power generation control, in particular to an intelligent optimization method for parameters of a PID controller. Background technique [0002] As a renewable electric energy source, hydraulic resources are converted into electrical energy by hydroelectric units. The regulation performance of the hydroelectric unit regulation system is directly related to the power quality of the power grid, which has an important impact on the safe operation of hydropower stations. , is an important auxiliary equipment of the power station. The dynamic transition process of the hydraulic turbine regulating system refers to the change process of the regulating system from the original initial state to the new stable state when the operating conditions of the unit change. Its calculation is a comprehensive application of hydraulic, mechanical, electrical and automatic control theories. How to select and opti...

Claims

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Application Information

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IPC IPC(8): G05B11/42
CPCG05B11/42
Inventor 黄镇生刘晓勇
Owner GUANGDONG POLYTECHNIC NORMAL UNIV
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