2009
DOI: 10.3901/cjme.2009.03.451
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PI-type Iterative Learning Control for Nonlinear Electro-hydraulic Servo Vibrating System

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Cited by 10 publications
(7 citation statements)
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“…16 If the initial offset is large, the output error will be large, and the control process will hold a lot of iterative times. For the purpose of decreasing the initial tracking error, accelerating the rate of convergence and enhancing the robustness of the system, an initial control term is added to the ILC algorithm, which is generated by a simple P-type control algorithm, and then, equation ( 10) can be changed to equation (11), where l 1 and l 2 are designed to regulate control proportions of P-type control and PD-type ILC, respectively…”
Section: Control Methods Based On Ilcmentioning
confidence: 99%
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“…16 If the initial offset is large, the output error will be large, and the control process will hold a lot of iterative times. For the purpose of decreasing the initial tracking error, accelerating the rate of convergence and enhancing the robustness of the system, an initial control term is added to the ILC algorithm, which is generated by a simple P-type control algorithm, and then, equation ( 10) can be changed to equation (11), where l 1 and l 2 are designed to regulate control proportions of P-type control and PD-type ILC, respectively…”
Section: Control Methods Based On Ilcmentioning
confidence: 99%
“…Compared with the position control system, whose transfer function is the combination of the integration and the oscillation elements, such a force control system tends to vibrate and has static error; therefore, it should be corrected by the controller to improve stability and precision. 11 It is difficult for the conventional proportionalintegral-derivative (PID) control method to achieve satisfactory effect in such system, because it is very easy to cause oscillation with large gain or large trace error with small gain. 12 Therefore, a PD-type ILC method has been designed and researched for this servo loading system to control the loading force with high frequency and precision.…”
Section: Mathematic Model Of Servo Loading Systemmentioning
confidence: 99%
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“…Learning-based control is another very useful method for EHSs. Luo et al (2009), Zhao et al (2005) and Zheng et al (2010) used iterative learning control to implement the accuracy position control of a hydraulic system, and Yao et al (2015) proposed a repetitive learning method to deal with the non-linear problem of a hydraulic system. Learning-based methods can work well for the systems in which the reference input signal is regular.…”
Section: Introductionmentioning
confidence: 99%
“…15 ILC is also a low-complexity and robust controller for identification, model reduction, and controller reduction of higher order systems, which can meet real-time control requirement of motion control systems. 12 Therefore, ILC has provided a feasible solution for the control issues of vibration simulation.…”
Section: Controller Design For Composite Actuatormentioning
confidence: 99%