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With brake energy recovery system of the city bus


,[link widoczny dla zalogowanych], And in the throttle, causing a 5 speed with the secondary component is proportional to the pressure difference, the pressure under the effect of variable fuel tank to the left or right to change the secondary component of the oblique angle, thus changing the secondary component of the displacement, the displacement of the change will cause changes in torque,[link widoczny dla zalogowanych], variable cylinder 2 until the end to stand balanced. This balance can produce in the secondary component of any set speed, by changing the throttle valve orifice area, make the secondary component of the speed stepless change. ML when the external load torque changes, will cause changes in secondary component n2 speed,[link widoczny dla zalogowanych], speed changes automatically lead to secondary displacement of the V2 component changes, the new settings until the resumption of the second component throttle speed up. If the load torque becomes larger, the speed decreased, resulting in variable flow control cylinder becomes smaller, the pressure difference decreased, variable cylinder to the right, causing displacement of the second component increases, so that the secondary component torque increases, picked up speed until it reaches the set speed. If the throttle control in Figure 5 to use the variable cylinder hydraulic servo valve control, by changing the servo (scale) f J4 continued on page 16 samples for identification and fault diagnosis of rotating rectifier fault the use of artificial intelligence, neural network system needs a certain amount of training samples. Electric Plant in large trials, the use of HP digital analyzer dynamic, from the exciter stator collected a 360kW brushless excitation of 8 rotating rectifier fault set of raw data, the 8 groups of samples in training before the first to be treated to enter the neural network. Therefore, in each sample, select the maximum amplitude as the base value of each group, and other property of the harmonic amplitude of the harmonic amplitude in the count to get the neural network shown in Figure 3 the input samples. Through this process, a rotating rectifier fault identification for the necessary training samples. Table 1 shows the training samples and the corresponding failure of the expectations. Reflect the synchronous generator set operating conditions of rotating rectifier set of the u, U = {Pl,[link widoczny dla zalogowanych], P2, ... P8} where each element is defined as u: Pl - normal operation; P2 - B group arm phase is open; P3 - A phase of negative group, B group phase arms are open; P4 - B phase is set short arm; P5 - A phase of negative group, B group phase arms are short; P6 - A two-phase positive and negative groups Short arm; P'- A phase of negative group, B group and the c phase is the phase of negative groups of three arms open; P8 - A phase of negative group, B group and the c-phase is three-arm phase short-circuit the negative group. Table 1 sample set to train the neural network of networks. Training results showed that: training speed, to meet the engineering requirements of the conditions, taking ? <0.1, the network training times for the 1156 meeting, the time is 0.67 seconds; take ?. <0.05, the network training times for the 1783 meeting, the time is 0.93 seconds. After training, will have all kinds of fault information (connection weights w, V and threshold 0.7) of the neural network program modules rotating rectifiers of brushless synchronous generator into a computer monitoring system to identify various types of rectifier failure. When the rotating rectifier operation, the exciter stator voltage divider capacitor C2 of the induced potential and similar data in Table 1, the computer can identify faults, the diagnosis is consistent with the actual situation. Table 2 shows the neural network fault output. Table 2 Neural network output as the diagnosis results 5 Conclusion synchronous generator rotating rectifier failure, the AC exciter armature current waveforms are the size and changes in the magnetic field along with the resulting changes in the armature and field winding in the stator induced a series of harmonic potential, the harmonic potential reflects the operation of the rotor rotating rectifier. Therefore, this diagnostic technique using artificial intelligence to analyze the harmonic potential, diagnosis, can accurately identify the fault, the fault type and is not limited. References (Continued from page 1 valve control signal, the secondary component can also be stepless speed changes, and more convenient. 1. Tank 2. Secondary component 3. Variable hydraulic cylinder 4. Speed pump 5. Figure 5 throttle control system with secondary regulation of the hydrostatic principle of Figure 16.4 Forecast city bus braking energy recovery system research and application for saving energy and reducing urban pollution can not be ignored important to have a meaning into. With the continuous advancement of hydraulic technology, the system has broad application prospects. References 1R. hng Germany and France, Wolf. Cole was awarded an honorary doctorate Nasdaq. RexrothInformationQuarterly. 1997 (2) :25-27.2 LISHUI summer, Liu Qinghe. With energy recovery and re-use of secondary regulation transmission [J]. Construction machinery. 1992 (: 2730.

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