外文翻译---plc变频调速的网络反馈系统的实现-plc设计(编辑修改稿)

外文翻译---plc变频调速的网络反馈系统的实现-plc设计(编辑修改稿)内容摘要：

. The original system was simplified as an input and an output system concluded by forum (2). According to implicit function ontology theorem, inverse system of formula (3) can be expressed as (9) When the inverse system is connected to the original system in series, the pseudo linear pound system can be built as the type of 4. Realization Steps of Neural Network Inverse System Acquisition of the Input and Output Training Samples Training samples are extremely important in the reconstruction of neural work inverse system. It is not only need to obtain the dynamic data of the original system, but also need to obtain the static date. Reference signal should include all the work region of original system, which can be ensure the approximate ability. Firstly the step of actuating signal is given corresponding every 10 HZ form 0HZ to 50HZ, and the responses of open loop are obtain. Secondly a random tangle signal is input, which is a random signal cascading on the step of actuating signal every 10 seconds, and the 6 close loop responses is obtained. Based on these inputs, 1600 groups should include a l l t r a i n i n g s a m p l e s a r e g o t t e n . The Construction of Neural Network A static neural work and a dynamic neural work posed of integral is used to construct the inverse system. The structure of static neural work is 2 neurons in input layer, 3 neurons in output layer, and 12 neurons in hidden layer. The excitation function of hidden neuron is monotonic smooth hyperbolic tangent function. The output layer is posed of neuron with linear threshold excitation function. The training datum are the corresponding speed of openloop, closeloop, first order derivative of these speed, and setting reference speed. After 50 times training, the training error of neural work achieves to . The weight and threshold of the neural work are saved. The inverse model and a dynamic neural work c o m p o s e d o f o r i g i n a l s y s t e m i s o b t a i n e d . 5 .Experiments and Results Hardware of the System The hardware of the experiment system is shown in Fig 5. The hardware system includes upper puter installed with Supervisory amp。 Control configuration software [8], and S7300 PLC of SIEMENS, inverter, induction installed with m o t o r a n d C o n t r o l p h o t o e l e c t r i c c o d e r . PLC controller chooses S73152DP, which has a PROFIBUSDP interface and a MPI interface. Speed acquisition module is FM3501. WinCC is connected with the e xp e r i me n t s y s te m S7 3 0 0 b y C P 5 6 1 1 u s i n g M P I p r o to c o l . The type of inverter is MMV of SIEMENS. It can municate with SIEMENS PLC by USS protocol. ACB15 module is added on the inverter in this system. Software Program Communication Introduction MPI (MultiPoint Interface) is a simple and inexpensive munication strategy using in slowly and nonlarge data transforming field. The data transforming between W i n C C a n d P L C i s n o t l a r g e , s o t h e M P I c h o s e n . 7 The MMV inverter is connected to the PROFIBUS work as a slave station, which is mounted with CB15 PROFIBUS module. PPO1 or PPO3 data type can be chosen. It permits to send the control data directly to the inverter addresses, or to use t h e s y s t e m f u n c t i o n b l o c k s o f S T E P 7 V 5 . 2 SFC14/15. OPC can efficiently provide data integral and intermunication. Different type servers and clients can access data sources of each other. Comparing with the traditional mode of software and hardware develop。