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Presented is an adaptive tension control system design study.
Tension control system is studied in [16] by using the PD-type learning algorithm.
A looper tension control system is common to many rolling processes.
Experimental results show that the tension control system is well-qualified with high control precision.
This paper describes a web tension control system as one application area of large-scale system control theory.
The proposed approach is very promising towards an effective design of the tension control system of the rolling mill.
Similar(42)
It can be used to optimize controller and actuator designs for wire tension control systems and enables higher winding speeds and winding quality.
The first adaptive PI scheme utilizes the model reference approach where the controller gains are estimated based on matching of the actual closed-loop tension control systems with an appropriately chosen reference model.
The considered system is approximated by a discrete-time looper-tension control system model.
In order to solve the above problems, a state feedback H∞ control method based on a discrete-time model for looper-tension control systems in hot rolling mills is presented.
This is (if I remember correctly) a sort of global tension control in your motor system that allows you to ratchet up the tension in lots of muscles in order to have more precise control over them.
More suggestions(15)
tension control mechanism
tension control schemes
tension control experiment
tension control method
tension leg system
tension strut system
tension control unit
tension blend system
tension control law
tension measurement system
tension wire system
tension bioreactor system
tension relief system
tension bar system
tension control lever
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