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The Research On Multi-motor Coordination Control Of Liquid Pharmaceutical Production Line

Posted on:2011-07-09Degree:MasterType:Thesis
Country:ChinaCandidate:H G ChenFull Text:PDF
GTID:2178360305494719Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
The original liquid pharmaceutical production line is noisy, bulky, low precision,weak anti-interference,this paper adopt multi-motor coordination control strategy to replace the original machine total stalk control stategy,the liquid pharmaceutical production line's overall structure is researched.To compensate for the limitations of the traditional PID method,this paper adopt radial basis function neural network to adjust PID parameters online so that the controller have strong adaptive ability to deal with nonlinearity,uncertainty and disturbance of the system.According to mathematical model of permanent magnet synchronous motor in three-phase coordinate,the mathematical model of the permanent magnet synchronous motor in dq coordinate is built through coordinate transformation.Adopt id= 0 rotor flux oriented control and neural network PID control strategy of multi-motor coordination.In the Matlab/Simulink environment,four permanent magnet synchronous motor control system simulation model of coordination is built,coordination control effect of control stategy based on the traditional PID speed compensator and based on radial basis function neural network PID speed compensator is Comparative studied. Simulation results show that the RBF-based multi-motor PID speed compensator motor control proposed in this paper have stronger ability to deal with interference,and performance of coordination is better.Paper designed the hardware and software of the system.The post-test data of production line using multi-motor coordination control strategies show that the improved production line has better robustness, precision and more efficient production.
Keywords/Search Tags:liquid pharmaceutical filling production line, Permanent magnet synchronous motor, multi-motor coordination control, radial basis function neural network, PID
PDF Full Text Request
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