Research on Pairs of Motor Speed Control Experimental System Based on Fuzzy Neural Network
|School||Liaoning Technical University|
|Course||Control Theory and Control Engineering|
|Keywords||Fuzzy Neural Network Dual-motor Matlab simulation Vector control Energy-saving|
AC variable speed intelligent fuzzy neural network control depth theoretical and practical research . The three-phase asynchronous motors AC speed control is an important research directions in the field of automation . AC variable speed performance has been significantly improved in many areas has been replaced by a DC speed asynchronous motor performance test can be completed in the laboratory . Asynchronous motor vector control principle first expounded the directional control of the magnetic field can be improved fundamentally asynchronous motor torque control characteristics , the decoupling of flux and torque , but because the system is running in some uncontrollable or uncertain factors, so that the dynamic performance of AC variable speed system controller can not meet the requirements , the traditional PID control can not meet the high precision , fast response , good robustness requirements . Intelligent control and vector control method combine to become a research focus of domestic and international electrical transmission workers , fuzzy neural network controller as the speed of AC speed controller instead of PID controller is in the research stage . Therefore , research in these areas is of great significance . The method of fuzzy neural network used in closed-loop control of the dual- motor speed control system , combining the fuzzy neural network control and conventional PID control , according to the the speed deviation Online adjust the control rules , in order to achieve the control purpose . The simulation experiments show that the method can get a good dynamic and static performance . Based on in-depth analysis of fuzzy neural network theory , fuzzy neural network used in the automatic control system of practicality , design study based on MATLAB simulation tool with interactive features and with TMS320LF24 07ADSP for the core of the control system hardware platform , its simulation and experiment , simulation and test results show that the introduction of the application of fuzzy neural network control system has better control effect , the energy saving effect is obvious .