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附录A 外文文献原文
Pair of dyadic clutch automatic transmission controls the systematic key technology
1.1DCT starting control technique research current situation
Pretending to starting having DCT vehicle is to betoken the smooth mill that driven slices but to reach synchronism#39;s by the clutch , process is same as AMT starting. Synthesize current research result , track quality , be to improve main vehicle starting function approach by optimizing the clutch dynamics model , perfecting under the control of tactics that the clutch draws together and improving clutch actuating mechanism#39;s.
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- Dynamics model time clutch starting
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Dynamics model in clutch starting process is that the hereditary model and clutch carrying out the basis that clutch under the control of tactics studies , transferring regulation including that the clutch carrying out the organization dynamics model , drawing together process draw together the process dynamics model.
The poplar army waits to charge liquid for moving the wet dyadic clutch actuating mechanism dynamics model having carried out the model having studied, and building the dynamics drawing together process#39;s to the electricity. 16 book J such as Li Huan Song , Zhang Jun Zhi , Shanghai hydrology and Ge An Lin etc. charges liquid for moving the course of work doing dyadic clutch actuating mechanism having carried out the model having analysed , building small advantages detailedly to the electricity. The thunder storm dragon makes use of interlinking to pursue theory, dynamics model having built clutch actuating mechanism, pressure and driven have checked and the nonlinearity relation between axial deformation amounts according to the clutch betokens driven among the piece , revolution regulation delivery model in docking small side door process has carried out analysis , has built the model drawing together the process dynamics on the basis here. Ye Ming , Qin Da Tong compose in reply the dynamics model that the seat army waits for to have built an electricity charging electric with no result dyadic clutch actuating mechanism by force.
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- DCT starting control technique valuation and development are dynamic
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Should track accuracy the starting function coming to optimize a clutch in three aspects from improving clutch dynamics model accuracy , perfecting clutch under the control of tactics and improving actuating mechanism#39;s, be key , the person various method#39;s most, clutch under the control of tactics improving and perfecting appraises and develops development as follows.
Theoretically, optimal control waits for the function synthesizing optimization method but making a clutch break the ice to reach the ideal effect setting up , the method synthesizing an optimization needs to build the accurate clutch dynamics model but , the parameter changes and the decision-making adjustment arousing in unadaptable control procedure. Be changed into a characteristic because the engine is dynamic when the function lags behind the sum clutch model#39;s, the completely accurate building-up dynamics model is very difficult , change such as now and then, loading , blocking a place because the vehicle breaks the ice and makes clutch drive be that the middle parameter has an uncertainty, function having restricted optimal control.
odel reference adaptive control strategy can automatically adapt to the ground condition, and the state of the clutch, ensure the engine changes impact and friction work at reasonable range. But for the nonlinear and time-varying adaptive control system, the system#39;s stability and robustness of the theoretical aspects of imperfect not establish performance good adaptive control system.
But the fuzzy control in the process of fuzzy parameters, the influence of the human factors of parameters, control rules and control target is ambiguous, not easy to adjust the parameters, the optimal control parameters are difficult. Together with genetic algorithm for better, etc, to start the clutch of membership functions of fuzzy controller is optimized. But the genetic algorithm.
Optimization of larger workload, development cycle is long, the cost is high, the real car debugging. So the driver based on excellent operation experiences, enrich the fuzzy control rules, on the basis of the study of how a number of debugging through, can obtain more optimal control method, it is urgent problems at present.
Shift refers to choose what kind of shift control parameters, and when to shift. The shift will have a direct impact on the vehicle performance and fuel economy, comfortableness, is the optimal control system is one of the key technologies.
2.1 The research status quo shift
The main goal shift research is to obtain a manipulation of flexible, safe and reliable, dynamic performance and economic performance good shift. Summarizes the current research summary for the following four.
The first kind is based on the experience of the shift, that is, through the study of excellent pilot shift to manipulate data, extract shift.
According to the driver QinGuiHe cast to manipulate data transmission using BP neural network, and training, and extract optimum range of vehicles. In ShangXiaQing etc, on the basis of the original ECU increased the high speed digital signal processor (DsP, based on neural network transmission system, can obtain good drivers of on-line shift. HAYASHI fuzzy control, etc, and the neural network method is the best pilot shift to identify, based on the experience and improve the shift in the hills and vehicle braking condition. Practical engineering application, mitsubishi cars the company takes the lead in the application of neural network logic circuit, successfully developed to choose the optimal variable
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