2009 IEEE International Symposium on Industrial Electronics 2009
DOI: 10.1109/isie.2009.5215717
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Vibration control of flexible joint manipulator using input shaping with PD-type Fuzzy Logic Control

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Cited by 16 publications
(7 citation statements)
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“…42 A PD-type FLC based on input shaper scheme was developed for controlling the tip angular position of a single-LFJM. 43 After that, a composite of PD-type FLC integrated with non-collocated FLC was proposed for a capable input tracking and vibration reduction of a single-LFJM. The composite of the PD-type FLC integrated with the non-collocated FLC has better ability to effectively reduce the vibration than the PD-type FLC, but it has longer settling time and larger overshoot for the system transient response.…”
Section: Fuzzy Logic Controllermentioning
confidence: 99%
“…42 A PD-type FLC based on input shaper scheme was developed for controlling the tip angular position of a single-LFJM. 43 After that, a composite of PD-type FLC integrated with non-collocated FLC was proposed for a capable input tracking and vibration reduction of a single-LFJM. The composite of the PD-type FLC integrated with the non-collocated FLC has better ability to effectively reduce the vibration than the PD-type FLC, but it has longer settling time and larger overshoot for the system transient response.…”
Section: Fuzzy Logic Controllermentioning
confidence: 99%
“…Figure 1 illustrates the block scheme implementation of the direct fuzzy adaptive system, where each component is described in the following subsections. Unlike existing fuzzy-logic control methodologies for flexible-joint manipulators [7][8][9][10], the proposed strategy does not output the defuzzified control input signals, but rather outputs timevarying control parameters which are used to update the control gains in response to the trajectory tracking errors, thus resulting in a direct adaptive control scheme.…”
Section: Fuzzy Adaptive Control Developmentmentioning
confidence: 99%
“…Goulet et al [7] applied a complex multilayer approach with a conventional control bottom layer, with a preprocess layer and an intelligent fuzzy logic top layer, to a two-link flexible-joint manipulator, composed of revolute and prismatic joints. Ahmad et al [8] used a fuzzy logic control system with triangular membership functions, to vary the input voltage of the robot's actuator, in response to the end-effector position errors and change-of-errors for a linearized state-space model of a single-link flexible-joint manipulator. The performance of this fuzzy control scheme, combined with an input shaping technique, was evaluated in numerical simulations in a set-point control scenario.…”
Section: Introductionmentioning
confidence: 99%
“…A Hybrid fuzzy logic control with genetic optimisation for vibration control of a single-link flexible manipulator is presented in passing [11]. An input shaping with PD-type fuzzy logic control for vibration and trajectory tracking of flexible arm robot is presented in explicitly in [12]. In passing [13], a controller is developed using fuzzy Lyapunov synthesis (FLS) to control vibration of a flexible manipulator.Inpassing [14] an experimental study using fuzzy logic and neural networks tools is presented for active vibration control of a single link flexible manipulator system.…”
Section: Introductionmentioning
confidence: 99%