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Adaptive pid control method of ignition timing of hcci engine based on bp neural network

A BP neural network and ignition timing technology, applied in adaptive control, engine control, combustion engine and other directions, can solve the problems of non-adaptive controller parameters and unoptimized HCCI ignition timing control effect, etc. To achieve the effect of convenient calculation, simple structure, strong anti-interference ability

Active Publication Date: 2017-05-24
CHONGQING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

It is worth noting that when using the PID control method to design the HCCI engine ignition timing controller in some of the above documents, the controller parameters are not self-adaptive, so that the HCCI ignition timing control effect is not optimal

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  • Adaptive pid control method of ignition timing of hcci engine based on bp neural network
  • Adaptive pid control method of ignition timing of hcci engine based on bp neural network
  • Adaptive pid control method of ignition timing of hcci engine based on bp neural network

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Embodiment Construction

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

[0029] 1) Model Description

[0030] The control method proposed in the present invention is established on the basis of the average value model of the HCCI engine, and the specific model is as follows.

[0031] The input quantity of the model is (θ EVC θ IVO ), the state quantity is the in-cylinder mixture temperature T of the engine valve closing moment (IVC) IVC , the output is θ CA50 . The model used in the present invention regards the IVC time as the start time of each cycle.

[0032] TIVC It can be obtained according to the quality weighted average idea, namely:

[0033]

[0034] Among them, m fsh (k) is the mass of the fresh charge in the cylinder at the IVC moment of the kth cycle, T fsh (k) is its temperature. m res (k) is the mass of the residual exhaust gas in the cylinder at the IVC moment of the kth cycle, T res (k) is its temperature.

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Abstract

The invention discloses an HCCI (Homogeneous Charge Compression Ignition) engine ignition timing self-adaptive PID (Proportion Integration Differentiation) control method based on a BP (Back Propagation) neural network, and relates to the technical field of automobile electronic control. In the method, negative valve overlapping (NVO) is realized by controlling the closing angle theta EVC of an exhaust valve and the opening angle theta IVO of an inlet valve, and then the ignition timing of HCCI is controlled, so that the crank angle theta CA50 BTDC (before top center) when 50% of fuels is combusted is 3-8 degrees. The structure of a controller adopts a PID manner, wherein the parameters of PID are self-adaptively adjusted and provided by the BP neural network. The input of the BP neural network includes the error e of expected theta CA50 and actual theta CA50 and error change rate e, and the output of the BP neural network includes three control parameters of kp, ki and kd. By adjusting the control parameters, the method provided by the invention can overcome the problems of disturbance, parameter time varying and other uncertain factors appearing in system operation well, and thus the method has higher anti-jamming capability, better robustness and better control effect.

Description

technical field [0001] The invention relates to the field of automobile electronic control, in particular to a method for controlling ignition timing of an HCCI engine. This method is an adaptive PID control method based on BP neural network. Background technique [0002] Environmental issues and energy issues are two major issues facing mankind in the new century. Air pollution is one of the most serious environmental problems. Among all the factors that cause air pollution, the impact of automobile exhaust is very important. According to statistics, the pollutants contained in automobile exhaust account for more than a quarter of the total air pollutants. [1] . CO, HC, NO contained in exhaust gas X And PM, etc., will seriously affect people's health. At the same time, automobiles are still an important source of global energy crisis. It is estimated that among petroleum products, almost all gasoline and about half of diesel are consumed by automobiles [2] . Theref...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/04
CPCF02D35/028F02D41/1405F02D41/3035Y02T10/12
Inventor 郑太雄李玲杨新琴杨斌蒋肖陈瑶潘松陶炬徐浩
Owner CHONGQING UNIV OF POSTS & TELECOMM