2014
DOI: 10.3788/ope.20142202.0414
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Open-closed loop iterative learning control of piezoelectric actuators

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Cited by 5 publications
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“…As shown in Figure 8, y d represents the expected displacement, u is the output voltage of the inverse model and the input voltage of the actuator, and y represents the output displacement of the actuator. In a control system, the inverse model can be used for feedforward compensation [127][128][129][130] or combined with PID and other algorithms for compound control [131][132][133].…”
Section: Inverse Modelmentioning
confidence: 99%
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“…As shown in Figure 8, y d represents the expected displacement, u is the output voltage of the inverse model and the input voltage of the actuator, and y represents the output displacement of the actuator. In a control system, the inverse model can be used for feedforward compensation [127][128][129][130] or combined with PID and other algorithms for compound control [131][132][133].…”
Section: Inverse Modelmentioning
confidence: 99%
“…As shown in Figure 8, d y represents the expected displacement, u is the output voltage of the inverse model and the input voltage of the actuator, and y represents the output displacement of the actuator. In a control system, the inverse model can be used for feedforward compensation [127][128][129][130] or combined with PID and other algorithms for compound control [131][132][133]. There are generally two methods for obtaining inverse models: one is to directly take the actuator output displacement data as the model input and the actuator input voltage as the model output during parameter identification so that the identified model can be There are generally two methods for obtaining inverse models: one is to directly take the actuator output displacement data as the model input and the actuator input voltage as the model output during parameter identification so that the identified model can be directly used as the inverse model, such as the PI model based on the Stop operator [57].…”
Section: Inverse Modelmentioning
confidence: 99%