2019
DOI: 10.1017/s0263574719001267
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A Two-Stage State Feedback Controller Supported by Disturbance-State Observer for Vibration Control of a Flexible-Joint Robot

Abstract: SUMMARYJoint flexibility introduces additional degrees of freedom and vibration modes, thus limiting the performance of the manipulator. To improve control bandwidth, this paper proposes an enhanced two-stage state feedback (SFB) controller, which combines two parts. The first is a SFB loop, which considers the motor position as a virtual control input for the link side dynamics. The second is a disturbance-state observer, which compensates disturbances and reconstructs indirect measurements. Experimental resu… Show more

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Cited by 8 publications
(6 citation statements)
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“…Determine the fuzzy relationship between the three parameters of PID (proportional parameter K D , integral action parameter K I , and derivative action parameter K D ) and the fuzzy relationship between the deviation derivative e c and the control deviation e. During the operation of electrical equipment, continuity testing is performed on e c and e. And based on the principle of fuzzy control, the three PID parameters are repeatedly modified to adapt to the different requirements of different deviation derivatives e c and control deviation e for the three parameters, so that the dynamic and static performance of the controlled object is better [10]. e c and e are the input items of the fuzzy controller, and the three parameters are the output items.…”
Section: Tuning Of Different Pid Parametersmentioning
confidence: 99%
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“…Determine the fuzzy relationship between the three parameters of PID (proportional parameter K D , integral action parameter K I , and derivative action parameter K D ) and the fuzzy relationship between the deviation derivative e c and the control deviation e. During the operation of electrical equipment, continuity testing is performed on e c and e. And based on the principle of fuzzy control, the three PID parameters are repeatedly modified to adapt to the different requirements of different deviation derivatives e c and control deviation e for the three parameters, so that the dynamic and static performance of the controlled object is better [10]. e c and e are the input items of the fuzzy controller, and the three parameters are the output items.…”
Section: Tuning Of Different Pid Parametersmentioning
confidence: 99%
“…erefore, at present, manual retort filling and semiautomatic retort filling operations are widely used in domestic retort filling processes. ere are also a few large wineries that utilize fully automatic retort filling processes [10].…”
Section: Introductionmentioning
confidence: 99%
“…Then use the data approximation method to complete the realization of the PID control law in the computer [12]. If there are fewer test items T , use summation instead of integral, use difference quotient instead of derivative, and discretize PID, that is, its transformation expression is as follows:   (10) In formula (10), T represents the number of system startup debugging items, 0,1, 2, k  L . In the process of discretization, if the value of e is too small, the controller will be greatly affected by external interference [13].…”
Section:         1 Pd I De T U T K E T E T Dt T T Dtmentioning
confidence: 99%
“…During the operation of electrical equipment, continuity testing is performed on c e and e . And based on the principle of fuzzy control, the three PID parameters are repeatedly modified to adapt to the different requirements of different deviation derivatives c e and control deviation e for the three parameters, so that the dynamic and static performance of the controlled object is better [10]. Define c e and e as the input items of the fuzzy controller, and the three parameters as output items.…”
Section: Multi-motor Drive Controlmentioning
confidence: 99%
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