Research On Energy Saving Optimization Of Synchronous Motor Excitation System Based On Ant Colony Algorithm

With the rapid development of China’s economy,the demand for energy has become more and more vigorous.Energy shortage has become one of the key issues of modern society.China’s motor power consumption accounts for about 80% of industrial electricity consumption,accounting for 60% of the national electricity consumption.On the one hand,Synchronous motors are widely used due to their advantages of good operation stability,high efficiency,strong overload capacity,large installed capacity and power factor improvement for the power grid.On the other hand,the synchronous motor can not adjust the excitation voltage automatically when it is under load.As a result,the power factor value is generally low,the stator current is too high,and the circuit loss is large,resulting in a large amount of waste of electricity.Therefore,the research on synchronous motor energy-saving has become a hotspot in the field of AC drive.It has a vital significance of theoretical and practical.Synchronous motor automatic excitation control system poses much functions,such as improved power factor,stable operation voltage and distribution of reactive power and so on.The PID controller is widely used in Excitation regulator control.Compared to traditional PID controller,it poses the characteristic of simple principle,easy to use and strong adaptability.For the reason of its design needs accurate mathematical model,it has some limitations.Because it is very difficult to establish an accurate mathematical model for some non-linear and time-varying control object.Ant colony algorithm is a new group of intelligent algorithms,it has a strong robustness,excellent distributed computing mechanism,multiple individuals simultaneously calculate in parallel,which can greatly improve the algorithm’s computing power and operating efficiency,and do not need accurate mathematical model to make up for the lack of traditional PID controller.This paper adopted ant colony algorithm to optimize the PID controller,and focused on synchronous motor energy-saving research.In this paper,by analyzing the relationship of synchronous motor energy consumption,concluding energy saving principle,and then establishing the transfer function and mathematical model of each element in the excitation system.The power factor of the synchronous motor is collected in real time and compared with the given value.Then by the ant colony algorithm to optimize the PID controller off-line optimization of parameters to achieve the load when the automatic is adjustment.In order to verify the optimization effect,the simulation model of PID excitation system based on ant colony algorithm is established in MATLAB /SIMULINK.The simulation results show that the ant colony optimization PID control algorithm has better tracking performance compared with traditional PID.Secondly,a simulation model of synchronous motor energy-saving control system is set up to simulate the load constant,load sudden increase and load sudden decrease.And the simulation results show that when the load is constant,compared with traditional controller,the energy-saving controller system optimized by ant colony algorithm system power factor adjustment time isshort and less oscillation.When the load changes,the system can automatically adjust the excitation current so that the power factor of the synchronous motor can reach the best speed at the fastest speed State,and the stator current is small,the line loss is low.At last,to achieve the goal of energy saving.Finally,this paper based on the DSP chip TMS320F2812,the part of hardware and software of the excitation motor energy saving system of the synchronous motor is designed,and gived the corresponding hardware circuit diagram and software program flow chart.