Inertia Simulation Of The Crh1 Type Emu Shrink Systems Research And Implementation

The characteristics of Car with power such as rapid acceleration, strong traction power and high flexibility let themselves become one of the important travel methods between cities.It is one main direction of China railway development to expand the using of Car with power. Thus, how to test the performance of Car with power completely and efficiently is an important problem to improve the current railway capacity. The rolling test platform for whole locomotive can be the efficient solution to test Car with power, which can reduce the online test time and improve the test efficiency greatly. However, when using the rolling test platform, the Car inertia must be emulated so that the rolling platform can close to the real railway online surrounding.According to the requirement of experiments to CRH1 type and its inertia characteristics, the paper proposes a hybrid emulation design that combines the electric inertia and piled-mechanical inertia to emulate the CRH1 inertia. To facilitate the CRH1 inertia analysis, the paper design a scaling emulation platform by the ratio 800:1 based on the CRH1 inertia, on which all kinds of inertia emulation strategies can be compared and researched. The simulation results that compared to other common control strategies,the proposed control strategy can approach the real system more closely and suit for inertia emulation more adaptively, it also have well dynamic response performance.Thus it can provide higher precise to inertia emulation.Founded on the principle analysis of the electric emulation system, an inertia model based on the Neural Network was proposed, in which the paramerters was affected by random factor and connatural inertia was hard to measue.Comparion of the data obtained by the inetia emulatioan trough flywheel proved that the Neral Network model is effective. An neuron intelligent PID control algorithm to achive torque control was propsed based on the analysis of the common algorithms, the PID parameters can be corrected on line by using this algorithm.The simulation results proved that the proposed control algorithm suit for inertia emulation more adaptively and have well dynamic response performance compared to other common control strategies.Thus higher precise to inertia emulation was provided by this algorithm.Mechanical,electrical and manipulated part of the scaling test platform was designed in this paper. The Neural Network model was implemented in the scaling test platform, the common inetia emulation algorithms and neuron PID control algorithm was implemented based on this model.Compatative experiments tests show that the best emulation results can be performed by the strategy combined Neural Network inertia model and the single neuron PID control algorithm, request of CRH1 type Car with power inertia simulation was achieved absolutely by this strategy.