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Control-oriented modeling for backlash

Backlash is complex; its model for control design is not.

Kevin C Craig, PhD -- EDN, August 25, 2011

Mechatronics logoIn everyday language, the word “backlash” sounds as undesirable as its meaning: a strong adverse reaction or a violent backward movement. In engineering, the situation is no different. Backlash, the excessive play between machine parts, as often occurs in gears and flexible couplings, is undesirable and usually exists with compliance. It gives rise to inaccuracies in the position and velocity of a machine and to delays and oscillations.

For any physical system, a hierarchy of models is possible, from the most real, most complex, and more difficult to solve to the less real, less complex, and easier to solve. The model that is most beneficial for control design is the least complex model that still retains sufficient accuracy to capture the gross dynamic behavior of the system. It is critical to strike a delicate balance between dynamic complexity and accuracy in the model.

Control-oriented modeling for backlash figure 1Figure 1 shows the physical system under investigation with the accompanying assumptions. In addition, assume that collisions due to backlash are sufficiently plastic to avoid bouncing. It is critical that the model capture the fact that the output from the backlash element causes a torque on—not a displacement of—the load inertia. This model also captures situations in which the assumed massless compliant element has damping (Reference 1). The following demonstration shows the importance of this model: Imagine that you are compressing with your hand a massless spring that possesses no internal damping. If you were to suddenly move your hand away, the spring would stay in contact because its response is instantaneous; being pure, it has no mass or damping. If the spring has damping and you repeat the experiment, however, the spring’s response would not be instantaneous, and it would start to lose contact.

Control-oriented modeling for backlash figure 2

The model in Figure 2, developed from the system equations of motion, captures these essential attributes and fosters insight. You can easily implement it in MathWorks’ Matlab or Simulink and effectively use it for control-system design.


Reference
  1. Nordin, Mattias, and Per-Olof Gutman, “Controlling mechanical systems with backlash—a survey,” Elsevier Science Ltd, 2002.
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