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Locomotive Adhesion Control Based On Type-2 Fuzzy System

Posted on:2011-12-09Degree:MasterType:Thesis
Country:ChinaCandidate:J LiuFull Text:PDF
GTID:2178360305960965Subject:Power electronics and electric drive
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With the growth of China's national economy and development of science and technology, the railway transportation remains in the rapid growth. As the focus of the development of national strategies, railway transportation shows its high-speed and heavy-load rail development direction. Since 1997 our country has gone through seven big adjustment of railway plans and speed in major areas of China. High speed development rail transportation needs the support of science and technology. Railway locomotive adhesion control science and technology as a research direction of the traction and brake control is the the important issues for enhancing the locomotive traction capacity and speed. Locomotive adhesion between wheel and rail is very complex. How to more efficiently use the traction power, to maximize locomotive transportation ability and to improve train safety and comfort is meaning and research focus of the adhesion control study.Adhesion system is a complex system, and depends on the external environment to a great extent, so it is difficult to accurately describe the mathematical model. Complex nonlinear system control problems promote the development of intelligent control technology. Fuzzy control, as a kind of intelligent control method, can combine expert knowledge and experience and get a satisfactory control result on most of nonlinear system control occasions. The traditional fuzzy control system is designed to handle type-Ⅰfuzzy sets. After determining its degree of membership, fuzzy sets lose its ambiguity. Type-Ⅱfuzzy sets with a type-Ⅰfuzzy set in place of the precise degree of membership, which can better describe the uncertainties. Type-Ⅱfuzzy system has more parameters and design freedom, so it has stronger anti-interference ability and uncertainty handling ablitly.Traditionally controlled object is usually based on mathematical models. However, using complex mathematical equations accurately to describe the locomotive adhesion system is very difficult. In this paper, a multidisciplinary collaborative design method is considered. In ADAMS/Rail, and ADAMS/View interface, the locomotive body model, front and rear bogie model and railway surface model and the wheel-rail contact model are designed; related variables and parameters are defined. Vehicle assembly is finally completed In ADAMS/Rail Standard Interface. With help of ADAMS/Controls module, locomotive adhesion model is exported to MATLAB environment. In addition with control system built in MATLAB/ Simulink environment, the ADAMS-MATLAB co-simulation platform is then completed. Based on virtual prototyping technology, the ADAMS-MATLAB co-simulation platform provides the locomotive adhesion control system with a more scientific and more practical research platform. The thesis discusses in-depth the characteristics of adhesive system. Considering dry surface and the wet surface alternately transforming rail environment, by means of adhesive characteristic curve, fuzzy optimization adhesion control system is designed based on ADAMS-MATLAB co-simulation platform. Re-adhesion control method and optimization adhesion control method are compared. With a given initial torque, hybrid control method and fuzzy optimization control method are designed and simulation results are compared. It verifies the optimization method is superior to re-adhesion method in tractive power using and passengers'comfort. Then type-Ⅱfuzzy optimization adhension control system is designed. With different testing environment, performance of control system is discussed. By simulation, it proves that type-Ⅱfuzzy optimization adhension control method has stronger anti-interference ability and uncertainty handling ability comparing with the traditional fuzzy control method.
Keywords/Search Tags:Adhesive systems, hybrid control method, fuzzy adhesion control method, type-Ⅱfuzzy system, ADAMS, ADAMS-MATLAB co-simulation platform
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