DSPACE Backstepping Control Based On Multi-motor System

In view of the electric arc furnace electrode adjustment system, this project is basedon dSPACE to design the motor control system. The core of this project is the controllerdesign, using backstepping.Then using MatLab/Simulink simulation verifies theavailability of the controller, and is compared with PID control method. Finally with three.phase speed regulating motor as the actuator, simulate three. phase electric arc furnaceelectrode, the backstepping controller by dSPACE controls three. phase motor,hardware.in.the.loop simulation researches, verifies backstepping algorithm.First of all, considering electric arc furnace electrode regulating system is a nonlinearcoupled system, starting from single. phase electric arc furnace electrode adjustmentsystem, this paper introduces the backsteeping control method, Respectively withoutconsidering the disturbance and uncertainty coupling disturbance situations using thebacksteeping method for the design of the controller, and then through theMatLab/Simulink simulation, compared with PID control algorithm, verifies the validity ofthe backsteeping control algorithm.Then, through constructing the model of three.phaseelectric arc furnace, using the backsteeping control simulates.According to the simulationresults, both single.phase and three.phase system, the backsteeping method is better effectthan PID control, and strong anti.interference ability, fully prove the validity of thebacksteeping control algorithm.In addition, in order to validate the control algorithm to the actual effectiveness andpracticability of the electric arc furnace system, based on the research on the basis offormer research, the experiment platform based on dSPACE/DS1104, in combination withthree. phase servo motor speed control system, to hardware.in.the.loop simulation, usingthe backsteeping controller of three. phase servo motor control, can be seen from thecontrol effect to prove the validity of the backsteeping control algorithmThis project is funded by:The Beijing municipal education commission technology fund key projects (Beijingnatural science key project B class)(KZ200611232020);Beijing municipal natural science foundation (4082010);The national natural science funds projects (51077004) funding.