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High-order controller parameter optimization method inspired by rRNA (ribosomal Ribonucleic Acid)

An optimization method and ribosome technology, applied in the direction of adaptive control, general control system, control/regulation system, etc., can solve the problems of poor local search ability, low search efficiency, and easy precociousness.

Inactive Publication Date: 2013-09-11
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Among them, the conventional genetic algorithm (SGA), as a random search method with wide adaptability and strong robustness, has strong global search ability and is suitable for solving such problems. However, this method has low search efficiency and poor local search ability. and precocious

Method used

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  • High-order controller parameter optimization method inspired by rRNA (ribosomal Ribonucleic Acid)
  • High-order controller parameter optimization method inspired by rRNA (ribosomal Ribonucleic Acid)
  • High-order controller parameter optimization method inspired by rRNA (ribosomal Ribonucleic Acid)

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Embodiment

[0066] Below the method of the present invention is used in the parameter optimization of the speed control system controller of large marine diesel engine, further detailed description:

[0067] Figure 5 For the speed control system of large marine diesel engines, the angular velocity y As the output of the system, the fuel rack position is used as the control signal u , around the load torque d seen as a distraction. The goal of the control system is to suppress the influence of the change of the load torque on the angular velocity, to achieve a rapid response to the external load, and to meet the requirements of control indicators such as stability.

[0068] The diesel engine object model can be expressed as

[0069]

[0070] In the formula

[0071] The control object is seriously oscillating due to the mutual coupling of the shafts of the engine and the generator. Image 6 Pole diagram of transfer function for marine diesel engine control object. It can be cl...

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Abstract

The invention discloses a high-order controller parameter optimization method inspired by rRNA (ribosomal Ribonucleic Acid). The method comprises the following steps of: (1) setting a suitable high-order controller order and weighting overshoot, response time and integral error square into a total performance index to serve as a target function by aiming at a field control object; (2) extracting various corresponding bionic optimization rules of a hybrid DNA (Deoxyribonucleic Acid) genetic algorithm (r-HDG) inspired by the rRNA according to the structures, the variation and the information transfer of biological genetic substances DNA and rRNA; (3) setting the basic and special parameters of the bionic algorithm; and (4) simulating the structural variation and the transfer of the biological genetic substances and operating the r-HDG algorithm inspired by the rRNA and acquiring the parameters and various performance evaluation indexes of the high-order controller suitable for a complicated process object by minimizing the target function. The method provided by the invention is used for simulating the structures, the variation and the information transfer of the biological genetic substances DNA and the rRNA and has the advantages of high optimization accuracy and high speed.

Description

technical field [0001] The invention relates to a high-order controller parameter optimization method inspired by ribosomal RNA. Background technique [0002] As modern control systems become more complex and more demanding on the system, control engineers are facing a serious challenge: to select a suitable controller and then optimize its parameters to meet the specific requirements of the actual application. PID control is one of the earliest developed control strategies. It has simple structure, easy implementation, good control effect, strong robustness, and clear physical meaning of parameters. The selection of PID and controller parameters has always been a continuous concern, which is directly related to the quality of PID control performance. At present, most of the parameter selection adopts the trial and error method under the guidance of artificial experience, the typical Ziegler-Nichols method, in addition, there are other improved methods, such as indirect opt...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/04
Inventor 冯芳琼王宁
Owner ZHEJIANG UNIV