Model based predictive speed control of a drive system with torsional loads &amp;#x2014; A practical approach

2010 IEEE Energy Conversion Congress and Exposition

2010

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Three different control methods for the speed control of drive systems with elastically coupled loads are presented and compared. In drive applications where the load is connected to the driving motor with a drive shaft that has a finite stiffness, unwanted mechanical dynamics can occur. These unwanted dynamics can stress both mechanical and electrical drive components. Further, the shaft torsion, if neglected in the control synthesis, can dramatically reduce the achievable control performance. To overcome these challenges, the design, analysis, and a comparative study of three speed control methods for a drive system with resonant loads are carried out. The control methods considered are: a conventional PI-control, a PI-based state space control, and a model based predictive control. To ensure a suitable basis for their comparison, the three different speed control methods are designed with equal bandwidths and verified with the same test setup. Further, all speed control methods presented use only drive side speed measurement to control the drive speed.

Section: Comparison Of the Speed Control Methods Concerning Theorementioning

confidence: 99%

Comparative study of conventional PI-control, PI-based state space control and model based predictive control for drive systems with elastic coupling

2010 IEEE Energy Conversion Congress and Exposition

2010

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“…Thus for the sake of simplicity the minimum cost horizon is chosen to be equal to this dead time d cf. (12).…”

Section: A Minimum and Maximum Cost Horizonsmentioning

confidence: 95%

“…In Table II an example of the (rounded) minimal and maximal predication horizons as well as the overall calculation time t calc to derive on control step for the proposed test drive system (detailed explanation of test bench cf. [12]) is summarized.…”

Section: B Control and Prediction Horizonmentioning

confidence: 99%

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Appropriate tuning and robust design of a generalized predictive speed controller for drive systems with resonant loads

2010 IEEE Energy Conversion Congress and Exposition

2010

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This paper presents an analysis of the appropriate tuning and robust control design for a model based predictive speed controller -the Generalized Predictive Controller (GPC) -used in a drive system with a resonant load. The resonance results from a finite stiffness of a long drive shaft. The achievable control quality of a model based predictive controller dependents on the appropriate choice of the control design parameters and the accuracy of the applied system model. If the predictive controller is not tuned adequately or unmodeled dynamics occur in the control system, the speed control performance must be reduced dramatically to avoid instability. To analyze these issues an overview about the influence of the GPC design parameters to the control performance is carried out. Moreover a possibility to tune the predictive control to be robust against model mismatches and control plant parameter uncertainties is presented in this paper. The theoretical approaches are verified in experiments with a 5.5 kW drive system. Finally, a study of the impact of backlash to the proposed speed control is presented.

“…To summarize the MBPC SC control design and to ensure a suitable bandwidth for the proposed comparative study, the GPC design parameters are chosen as in Further information and additional analysis on the proposed MBPC SC is presented in [53] and [54].…”

Section: Generalized Predictive Speed Controlmentioning

confidence: 99%

PI Control, PI-Based State Space Control, and Model-Based Predictive Control for Drive Systems With Elastically Coupled Loads—A Comparative Study

IEEE Trans. Ind. Electron.

2011

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122

Three different control methods for the speed control of drive systems with elastically coupled loads are presented and compared. In drive applications where the load is connected to the driving motor with a drive shaft that has a finite stiffness, unwanted mechanical dynamics can occur. These unwanted dynamics can stress both the mechanical and electrical drive components. Furthermore, the shaft torsion, if neglected in the control synthesis, can dramatically reduce the achievable control performance. To overcome these challenges, the design, analysis, and comparative study of three speed control methods for a drive system with resonant loads are carried out. The considered control methods are the following: a conventional proportional-integral (PI) control, a PI-based state space control, and a model-based predictive control. To ensure a suitable basis for their comparison, the three different speed control methods are designed with equal bandwidths and are verified with the same test setup. Furthermore, all speed control methods presented use only the drive-side speed measurement to control the drive speed.Index Terms-AC machine, adjustable speed drive, asynchronous motor, control of drive, predictive control, state feedback, test bench, vibrations.