The Study on Multi-motor Control System Based on Fuzzy PID Control and BP Neural Network
نویسنده
چکیده
This paper summarizes the development of the synchronization control technology of the multi-motor control system. And a model structure of multi-motor synchronization control system based on the monomaster PROFIBUS-DP network is proposed, which slaves are intelligent including PLC, convertor and motor. The communication mode of MS is adopted. The control tasks of the master and their slaves are described. The last, a short step control method of output frequency is adopted for the convertor in the process of start and stop of motor to reduce the ill influence of some factors of equipments. It is the trend of development for the synchronization control of multiple motors to combine the technology of field bus with the technology of motor driving control. The analysis result of this paper can offer effective reference for the control of congener equipments. It is quite useful for actual application.
منابع مشابه
Implementation and Comparative study of Three Phase Induction Motor Control Using PID Controller, Fuzzy Logic and Neural Network Techniques
This paper present the implementation and comparative study of dynamic behaviour of three phase induction motor with different control strategies such as PID controller, Fuzzy Logic and Neural Network techniques. The system consist of three phase variable frequency drive with gating signal are generated using PIC microcontroller. The Simulink model of PID controller, fuzzy Logic and Neural Netw...
متن کاملStudies on BLDC motor for position control using PID-Fuzzy-Neural Network and Anti-windup Controllers
This paper presents a novel approach to control the speed of BLDC motor by using PID, Fuzzy, Neural Network and Anti-windup Controllers. The PID controllers is set to optimize the motor parameters such as rise time, peak time, Maximum peak overshoot and Settling time. The fuzzy controller adopts fuzzy logic to retune the PID parameters. Based on the mathematical model of BLDC Motor, novel adapt...
متن کاملDesign of Multi-Stage Fuzzy PID Bundled Artificial Bee Colony for Multi-machine PSS
This paper presents a new strategy based on Multi-stage Fuzzy (MSF) PID controller based on Artificial Bee Colony (ABC) for damping Power System Stabilizer (PSS) in multi-machine environment. The recent studies in artificial intelligence demonstrated that the ABC optimization is strong intelligent method in complicated stability problems. Also, finding the parameters of PID controller in power ...
متن کاملDesign of Multi-Stage Fuzzy PID Bundled Artificial Bee Colony for Multi-machine PSS
This paper presents a new strategy based on Multi-stage Fuzzy (MSF) PID controller based on Artificial Bee Colony (ABC) for damping Power System Stabilizer (PSS) in multi-machine environment. The recent studies in artificial intelligence demonstrated that the ABC optimization is strong intelligent method in complicated stability problems. Also, finding the parameters of PID controller in power ...
متن کاملIntelligent Neural Network Control Strategy of Hydraulic System Driven by Servo Motor
A novel intelligent neural network control scheme which integrates the merits of fuzzy inference, neural network adaptivity and simple PID method is presented in this paper. This control method overcomes the defects existed in the traditional variable frequency induction motor driven hydraulic source, such as slow response, poor control precision, easy to overshoot. Permanent magnet synchronous...
متن کامل