&lt;title&gt;Overview of control design methods for smart structural system&lt;/title&gt;

Rao, V. Sree Hari; Sana, Sridhar

doi:10.1117/12.436461

Cited by 8 publications

(4 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Design of an optimal LQ or a feedback-gain controller has been addressed in literature as a means used in solving active control problems (Lim et al 1999, Rao and Sana 2001, Gabbert et al 2003, Chandiramani et al 2004, Seeger 2004. The novel approach to optimal control presented in this paper combines a tracking system with additional dynamics (Vaccarro 1995) with the optimal LQ controller (Ogata 1995, Vaccaro 1995, Franklin et al 1998 and Kalman filter.…”

Section: Introductionmentioning

confidence: 99%

Active vibration control using optimal LQ tracking system with additional dynamics

Nestorović

Köppe

Gabbert

2005

International Journal of Control

View full text Add to dashboard Cite

This paper focuses on the vibration suppression task using an appropriate controller design for active control of structures with distributed piezoelectric actuators and sensors. The problem arises from the need to control undesired vibrations caused by disturbances or excitations acting upon a structure in an efficient and at the same time a simple way. A special class of disturbances/excitations (periodical, with frequencies equal or near to the eigenfrequencies of the controlled structure) may cause undesired resonant states. In order to reject such disturbances and suppress vibrations in the presence of excitations an optimal LQ controller based on tracking systems with additional dynamics is proposed for the vibration control problem. The controller was tested in the presence of excitations with different frequencies. Controller design is model-based, where for the numeric modelling of the structure the finite element approach was used. Besides, subspace-based model identification was used as well. Controller design, testing and implementation were performed on the funnel-shaped shell structure, the inlet part of the magnetic resonance tomograph. Simulation results as well as the real-time implementation of the controller as a part of the Hardware-in-the-Loop system show considerable vibration suppression in the presence of excitations and confirm the efficiency of the controller.

show abstract

Section: Introductionmentioning

confidence: 99%

Active vibration control using optimal LQ tracking system with additional dynamics

Nestorović

Köppe

Gabbert

2005

International Journal of Control

View full text Add to dashboard Cite

show abstract

“…The control of intelligent structures can be challenging and complex since intelligent structures may exhibit timevariant, various dynamic and static, low-damping, and nonlinear characteristics. Rao and Sana (2001) surveyed the primary feedback control design methods for smart structural systems such as positive position feedback control, independent modal space control, dissipative/ positive real control, robust control, and linear matrix inequalities. Many new control approaches have also been investigated in the vibration control of intelligent structures, such as adaptive control Melcher, 1998, 2003), neural network control (Damle and Rao, 1998;Bosse et al, 2000), fuzzy logic control (Takawa et al, 2000), and their combinations (Mayhan and Washington, 1998;Davis et al, 1999;Shen and Homaifar, 2001).…”

Section: Introductionmentioning

confidence: 99%

Adaptive Simultaneous Precision Positioning and Vibration Control of Intelligent Composite Structures

Ghasemi‐Nejhad

2005

Journal of Intelligent Material Systems and Structures

View full text Add to dashboard Cite

This paper presents an adaptive control scheme for simultaneous precision positioning and vibration suppression of intelligent structures. First, the structure and materials system of an active composite panel with piezoelectric ceramic patches are introduced. An adaptive control scheme, which consists of an adaptive feedback and two adaptive feedforward controllers, is then proposed. The two adaptive feedforward controllers are responsible, one for precision positioning and the other for vibration suppression, and the adaptive feedback controller affects both precision positioning and vibration suppression. Two PID feedback controllers and the proposed adaptive control scheme are experimentally studied on the active composite panel under harmonic and random disturbances, demonstrating that (a) for the PID feedback control, the controller gains should be chosen carefully to make a tradeoff between position tracking and vibration suppression, and the positioning accuracy varies for different disturbances due to residual vibrations; and (b) for the proposed adaptive control scheme, the vibration is entirely suppressed and the positioning accuracy is consistently excellent no matter what kind of disturbance is encountered, the relative steady state error is 3%, and the controller can adjust its weights to adapt to the changes of the command and the external disturbances.

show abstract

“…The control of smart structures can be complex and challenging, since smart structures may exhibit time-variant, different dynamic and static, low damping and non-linear characteristics. Rao and Sana [11] surveyed the primary feedback control design methods for smart structural systems. Many new control approaches have also been investigated in vibration control of smart structures, such as adaptive control, neural network control, fuzzy logic control and genetic algorithms [12][13][14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Frequency-weighted adaptive control for simultaneous precision positioning and vibration suppression of smart structures

Ma¹,

Ghasemi‐Nejhad²

2004

Smart Mater. Struct.

View full text Add to dashboard Cite

This paper focuses on a frequency-weighted hybrid adaptive control with application to simultaneous precision positioning and vibration suppression of smart composite structures. Following the introduction of the structure and materials system of an active composite panel (ACP) with a surface-mounted and two embedded piezoelectric ceramic patches, the sensor selection for the purpose of precision positioning or vibration control is discussed, and the function assignment of a laser displacement sensor as well as the embedded piezoelectric sensor is determined for the ACP. The frequency-weighted hybrid adaptive control approach is then developed. The approach consists of an adaptive feedforward position controller for precision positioning, an adaptive feedforward vibration controller for vibration suppression as well as an adaptive feedback controller for both precision positioning and vibration suppression. The frequency-weighted filters introduced in the approach realize the signal fusion of the two sensors. Finally, experiments are also performed for harmonic disturbances at the first two natural frequencies of the ACP and a random disturbance for both cases of with/without the adaptive feedforward vibration controller, demonstrating that the frequency-weighted hybrid adaptive control approach can provide satisfactory precision positioning and vibration suppression in both cases, and that better position accuracy can be achieved if the adaptive feedforward vibration controller is also employed.

show abstract

<title>Overview of control design methods for smart structural system</title>

Cited by 8 publications

References 40 publications

Active vibration control using optimal LQ tracking system with additional dynamics

Active vibration control using optimal LQ tracking system with additional dynamics

Adaptive Simultaneous Precision Positioning and Vibration Control of Intelligent Composite Structures

Frequency-weighted adaptive control for simultaneous precision positioning and vibration suppression of smart structures

Contact Info

Product

Resources

About