Research And Implement Of Key Technologies Of Servo Drive Parameters Tuning

Servo drive system is widely used in the industrial application. Its controlperformance is mainly determined by the control parameters. When the working conditionvaries, the control parameters need to be tuned to maintain the best performance.In this thesis, the methods of servo drive performance test were researched. On thebasis of the control structure of servo drive system, the performance criteria in time andfrequency domains were analyzed. Moreover, the step signal and Chirp signal wereselected to test the time and frequency domain performances of servo drive respectively.Then, after the in-depth research of traditional and intelligent auto-tuning algorithm, animproved control parameters auto-tuning method was designed and proposed. The methodadopted the least-square method to identify the mathematical model of the controlledprocess. Based on the identified model, the performance indicator of integral of errors wasselected to judge the performance of servo drive. Finally, the improved simplexoptimization method was utilized to find the optimized control parameters.A control parameters tuning software of the servo drive was designed and realizedwith the methods and algorithm introduced above. The software can communicate withthe servo drive. The performances in the time and frequency domain can be displayed ascurves in the screen to help workers tune control parameters. Furthermore, the tuningsoftware can auto tune and optimize the control parameters.The results of experiments demonstrated that the software realizes the functionsintroduced above. Workers can conveniently check the performance specifications by thetime and frequency domain test. Besides, workers can automatically tune the controlparameters and download the optimal parameters to the servo drive.