Fuzzy PID Control of Space Manipulator for Both Ground Alignment and Space Applications

Liu, Fucai; Liang, Lihuan; Gao, Juan-Juan

doi:10.1007/s11633-014-0800-y

Cited by 42 publications

(26 citation statements)

References 18 publications

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“…As shown in Fig. , before fuzzy control can be designed, the error signal and its change rate need to be normalized by introducing gains ( k e , k ec ), which can make its range set identify the domain of fuzzy variable . Next, the two signals need to be fuzzed, fuzzy inference and solute fuzzy; finally, accurate gain ( k pw , k iw ) can be obtained.…”

Section: The Design Of Fuzzy Adaptive Observermentioning

confidence: 99%

Maximal wind energy capture fuzzy terminal sliding mode control for DFIG with speed sensorless

Wang

2018

IEEJ Transactions Elec Engng

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Considering a doubly‐fed induction generator (DFIG) as the research object, and aiming at the mathematical model of DFIG in two‐phase synchronous rotating coordinate system, a fuzzy adaptive observer is designed. The observer can observe the rotor angular speed of the DFIG in real time, and then, the measuring device for angular speed can be saved. The angular speed controller is designed according to the principle of maximum wind energy capture. A kind of fuzzy terminal sliding mode method is used to control the decoupled rotor model of DFIG, which can restrain the chattering phenomenon effectively and realize tracking without steady‐state error in a limited period of time. The simulation results show the validity of the proposed method. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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Section: The Design Of Fuzzy Adaptive Observermentioning

confidence: 99%

Maximal wind energy capture fuzzy terminal sliding mode control for DFIG with speed sensorless

Wang

2018

IEEJ Transactions Elec Engng

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“…In Fig.3, For the planer 2-link robot manipulator, the dynamic of the manipulator is derived as [21][22][23] …”

Section: Modeling Of Manipulatormentioning

confidence: 99%

Parameter identification of nonlinear dynamic systems using an improved particle swarm optimization

Zheng

Liao

2016

Optik

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“…Fuzzy I component is designed base upon (12). Replacing "ΔuI (nT )" with "ΔuFI (nT )" in (12). Equation (12) becomes…”

Section: Dividing the Above Equation Bymentioning

confidence: 99%

Some investigations on hybrid fuzzy IPD controllers for proportional and derivative kick suppression

Kumar

Rana

2016

Int. J. Autom. Comput.

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Proportional and derivative kick i.e., a large change in control action of a proportional plus integral plus derivative (PID) controller due to a sudden change in reference set-point is generally undesired in process industry. Therefore, the structure of conventional parallel PID controller is modified to integral minus proportional derivative (I−PD) controller. In this paper, three hybrid fuzzy IPD controllers such as a fuzzy I−fuzzy PD (FI−FPD) controller and its hybrid combinations with its conventional counterpart such as fuzzy I−PD (FI−PD) and I−fuzzy PD (I−FPD) are presented in view of above industrial problem. These controllers are based upon the counterpart conventional I−PD controller and contains analytical formulae. Computer simulations are carried out to evaluate the performance of hybrid fuzzy controllers along with conventional I−PD and PID controllers for set-point tracking and disturbance rejection for an induction motor in closed loop using LabVIEW TM environment. The gains of conventional and hybrid fuzzy controllers are tuned using genetic algorithm (GA) for minimum overshoot and settling time. It has been observed that hybrid fuzzy controllers along with the conventional I−PD controller significantly remove the kick from the control action in reference set-point tracking. However, in disturbance rejection, I−PD and FI−PD controllers fail to eliminate the kick from the control signal. In contrast, FI−FPD and I−FPD controllers considerably reduced spikes from the control action in disturbance rejection. Among the conventional and hybrid fuzzy IPD controllers, FI−FPD demonstrates much better set-point tracking and disturbance rejection response with spike free control action.Keywords: Proportional plus integral plus derivative (PID), integral minus proportional derivative (I−PD), hybrid fuzzy IPD controller, proportional kick, derivative kick.

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Fuzzy PID Control of Space Manipulator for Both Ground Alignment and Space Applications

Cited by 42 publications

References 18 publications

Maximal wind energy capture fuzzy terminal sliding mode control for DFIG with speed sensorless

Maximal wind energy capture fuzzy terminal sliding mode control for DFIG with speed sensorless

Parameter identification of nonlinear dynamic systems using an improved particle swarm optimization

Some investigations on hybrid fuzzy IPD controllers for proportional and derivative kick suppression

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