Study Of Semi-Active Suspention Control And Inspect System

Suspension is an important vehicle assembly, its vehicle's ride and handling and stability, such as the use of a variety of performance will have enormous impact on.Therefore good design of the suspension system to improve the quality of auto products is of great significance.As traditional passive suspension with the road change, the changes to the road to achieve optimal performance, so in coordination vehicle ride comfort and handling and stability there is a considerable limitations. Therefore, in recent years there have been a non-passive suspension of the study that used electronic means to enhance vehicle suspension system performance.While active suspension system to overcome the passive suspension system defects, but active suspension system of technical difficulty, Engine power consumption, cost advantages and shortcomings, still remain in the theoretical and experimental trial stage.By the elastic element and damping force controllable shock absorber consisting of semi-active suspension. Body may shock acceleration feedback signal according to certain rules produce the best control vibration, good to meet traffic needs of the process.Meanwhile compared with the active suspension, semi-active suspension process almost no engine power consumption, simple structure, low prices, the semi-active suspension has become the automotive field to be more active in a hot research topic.Semi-active suspension system is a nonlinear, and the conventional control strategies are applied to nonlinear systems have certain limitations.Semi-active suspension system is a nonlinear, and the conventional control strategies are applied to nonlinear systems have certain limitations. In order to better approximate the actual system, better control effects, the paper application of the fuzzy-neural network control theory. In the semi-active suspension for the modeling and simulation of control on the basis of the design of microcontroller control system for the fuzzy nerve Network control theory to achieve.In order to verify FNN control theory and microprocessor control system in the practical application of functional effect In exploring this issue and the development of a suspension based on the characteristics of Labview detection system. The system is passive suspension in the original test-bed and Labview software on the basis of matching the necessary sensors, signal conditioning circuit and the data acquisition card and other hardware components virtual test vehicle suspension system.Finally, we will MCU control systems and suspension characteristics detection system as a whole for the experiment. Experimental data indicate neural network based on fuzzy control theory of semi-active suspension is superior to the passive suspension. Using the virtual instrument technology test vehicle suspension system compared with the original system, the measurement accuracy can meet the actual needs of detection; on the system's ease of use, scalability and data handling than traditional machines have greater advantages. Virtual instrument development and maintenance costs lower, in the open, there could be more flexibility with computer synchronization.