Open loop control: Difference between revisions
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In open loop control | In [[control engineering]], '''open loop control''' is a [[control system]] configuration in which the controller has no access to signals that contain information about the current "state" of the plant (the object or system to be controlled) during the time that the controller is in operation. Here state roughly refers to a collection of dynamical variables of the plant that determine the plant's future evolution/trajectory given its future inputs. | ||
In open loop control, the control law implemented by the controller at any time <math>t</math> is independent of the dynamical variables of the plant. In practice, this situation may arise in, for example, cases where it is not feasible or practical to extract any useful information from the plant that can be used for control purposes. In designing a controller for open loop control, the control engineer would need to have a good mathematical model of the plant to be able to derive a control law that achieves the desired performance specifications. A major drawback of open loop control compared to [[closed loop control]] is that deviations of the model from the true plant and the presence of various exogenous disturbances may result in serious degradation of the performance of the overall control system. In this case it is said that open loop control systems lack [[robust control | robustness]]. | |||
A more recent example of open loop control can be found in the quantum control of [[spin systems|spin systems]] using pulsed [[NMR spectroscopy]] techniques [http://arxiv.org/abs/quant-ph/0404064]. | |||
[[ | ==See also == | ||
[[Closed loop control]] | |||
Latest revision as of 17:00, 7 March 2024
In control engineering, open loop control is a control system configuration in which the controller has no access to signals that contain information about the current "state" of the plant (the object or system to be controlled) during the time that the controller is in operation. Here state roughly refers to a collection of dynamical variables of the plant that determine the plant's future evolution/trajectory given its future inputs.
In open loop control, the control law implemented by the controller at any time is independent of the dynamical variables of the plant. In practice, this situation may arise in, for example, cases where it is not feasible or practical to extract any useful information from the plant that can be used for control purposes. In designing a controller for open loop control, the control engineer would need to have a good mathematical model of the plant to be able to derive a control law that achieves the desired performance specifications. A major drawback of open loop control compared to closed loop control is that deviations of the model from the true plant and the presence of various exogenous disturbances may result in serious degradation of the performance of the overall control system. In this case it is said that open loop control systems lack robustness.
A more recent example of open loop control can be found in the quantum control of spin systems using pulsed NMR spectroscopy techniques [1].