Active Disturbance Rejection in Large Flexible Space Structures

Parlos, Alexander G.; Sunkel, John W.

doi:10.23919/acc.1990.4791263

Cited by 1 publication

(12 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The adaptive fuzzy passive control law, which was proposed and developed in this study, is applied to the problem of the 10 bar truss for two types of disturbances. The first type of disturbance consists of a 500 lbf pulse applied for a period of 10 s. The control objective for this work, as stated by Parlos and Jayasuriya (1990), is to reject the persistent disturbance and to damp out the resulting vibrations within the shortest possible time period. Other than closed-loop stability, the most important requirement that the control law must satisfy is the ability to perform the above task using only the available control effort (hard constraint), and without exceeding the maximum deformation limits at certain locations on the structure.…”

Section: Application To a 10 Bar Trussmentioning

confidence: 99%

“…In addition to the closed-loop performance of the nominal plant, stability and performance robustness are also examined for substantial perturbations in the mass matrix. Results obtained for the pulse disturbance are compared to those reached by Parlos and Jayasuriya (1990) using a H ∞ -optimal controller. Finally, the evaluation of the developed control system will be based upon the system response to an initial condition.…”

Section: Application To a 10 Bar Trussmentioning

confidence: 99%

“…As already indicated, evaluation of the control system will be based upon the system response to two different types of disturbances. The first type of disturbance, as applied by Parlos and Jayasuriya (1990), constitutes of a 500 lbf pulse applied for a period of 10 s. The plant is subject to the persistent disturbance starting at t = 1 s and is ultimately freed at t = 11 s. The control problem of the above structure is determined by the following design requirements:…”

Section: Application To a 10 Bar Trussmentioning

confidence: 99%

“…(a) The open-loop models were built on a MATLAB platform as follows: two-mode reduced model for control design and an eight-mode truth model for testing the performance of the system. Subsequently, the open-loop models were validated for persistent pulse disturbance by comparison with Parlos and Jayasuriya (1990). Furthermore, the openloop models experiencing the above-mentioned initial condition were compared with Lynch and Banda (1988).…”

Section: Application To a 10 Bar Trussmentioning

confidence: 99%

“…(d) The closed-loop performance for the nominal eight-mode truth model were evaluated for both types of disturbances and results obtained were compared with those using a H ∞ -optimal controller (Parlos and Jayasuriya 1990) and a LQG/LTR controller (Lynch and Banda 1988). (e) The stability and performance robustness for substantial perturbations in the plant were examined for persistent pulse disturbance and results obtained were compared with those using a H ∞ controller (Parlos and Jayasuriya 1990).…”

Section: Application To a 10 Bar Trussmentioning

confidence: 99%

See 4 more Smart Citations

Active control of flexible structures using a fuzzy logic algorithm

Cohen¹,

Weller²,

Ben-Asher³

2002

Smart Mater. Struct.

View full text Add to dashboard Cite

This study deals with the development and application of an active control law for the vibration suppression of beam-like flexible structures experiencing transient disturbances. Collocated pairs of sensors/actuators provide active control of the structure. A design methodology for the closed-loop control algorithm based on fuzzy logic is proposed. First, the behavior of the open-loop system is observed. Then, the number and locations of collocated actuator/sensor pairs are selected. The proposed control law, which is based on the principles of passivity, commands the actuator to emulate the behavior of a dynamic vibration absorber. The absorber is tuned to a targeted frequency, whereas the damping coefficient of the dashpot is varied in a closed loop using a fuzzy logic based algorithm. This approach not only ensures inherent stability associated with passive absorbers, but also circumvents the phenomenon of modal spillover. The developed controller is applied to the AFWAL/FIB 10 bar truss. Simulated results using MATLAB © show that the closed-loop system exhibits fairly quick settling times and desirable performance, as well as robustness characteristics. To demonstrate the robustness of the control system to changes in the temporal dynamics of the flexible structure, the transient response to a considerably perturbed plant is simulated. The modal frequencies of the 10 bar truss were raised as well as lowered substantially, thereby significantly perturbing the natural frequencies of vibration. For these cases, too, the developed control law provides adequate settling times and rates of vibrational energy dissipation.

show abstract

Section: Application To a 10 Bar Trussmentioning

confidence: 99%

Section: Application To a 10 Bar Trussmentioning

confidence: 99%

Section: Application To a 10 Bar Trussmentioning

confidence: 99%

Section: Application To a 10 Bar Trussmentioning

confidence: 99%

Section: Application To a 10 Bar Trussmentioning

confidence: 99%

See 3 more Smart Citations