Sliding mode predictive vibration control of a piezoelectric flexible plate

Qiu, Zhi-cheng; Wang, Tao-xian; Zhang, Xianmin

doi:10.1177/1045389x20948597

Cited by 8 publications

(5 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…From the above discussion, controllers for the piezo actuator are also identified in the application, along with classical forms to modern forms. A summarization of the control for the piezo devices are shown in figure 8 including optimal control [36, 37], LQR control [38,39], switching control [40], fuzzy control [41][42][43][44][45], fuzzy sliding mode control [42], adaptive sliding mode control [46][47][48][49], force control [50], predictive sliding mode control [51][52][53][54], proportional differential (PD) control [41,55,56], PID control [57], H-infinity technique [58], feed-forward control [59], neural networks [60,61], active control [61][62][63][64][65], and identification/delayed feedback/genetic/adaptive models [65][66][67][68][69][70].…”

Section: Piezo Actuatormentioning

confidence: 99%

A state-of-the-art on smart materials actuators over the last decade: control aspects for diverse applications

Phu

Choi

2022

Smart Mater. Struct.

View full text Add to dashboard Cite

A comprehensive review of smart materials actuators is presented from control aspects for various applications. The smart materials actuators considered in this work are actively being applied to diverse control systems: magnetorheological elastomer, magnetorheological fluid, piezoelectric material, shape memory alloy, magneto-strictive material, and electro-active polymer. Both classical and modern control approaches, which have been realized for diverse applications over the last 10 years, are surveyed and discussed using the tables and figures. In order to quickly visualize and compare the different control characteristics of each actuator, the table summarizes several aspects of the specific device/system, controller type, control target, control criterion, inherent property, and outcome. The total publications and appearance of these actuators in every year are shown through the figures to understand the research status and trend easily. In addition, the featured structures of control schemes are analyzed and discussed to provide future research direction for the enhancement of control performance. It is no doubt that this review analysis significantly supports full information so that researchers related to smart materials can understand and compare the salient characteristic of each actuator and hence develop a new or advanced one for a certain control application.

show abstract

Section: Piezo Actuatormentioning

confidence: 99%

A state-of-the-art on smart materials actuators over the last decade: control aspects for diverse applications

Phu

Choi

2022

Smart Mater. Struct.

View full text Add to dashboard Cite

show abstract

“…), this coefficient is determined according to the boundary conditions of Euler Bernoulli beams with free ends. It should be emphasized here that when j ≥ 3, the mode function of the Euler Bernoulli beam with free ends is equation (21), which is determined by the dispersion equation of vibration of free beams at both ends. And, W j (j � 1, 2) is in the following form:…”

Section: Vibration Mode Function Of Cantilever Plate In Y-directionmentioning

confidence: 99%

“…At this point, the point discontinuity on the beam is the line discontinuity here. According to the traveling wave theory, the incident elastic wave will be reflected and transmitted at discontinuities [21,22]. Assuming a column of forward propagating waves is incident at x � 0, where the incident attenuation wave is ignored and the time factor is not considered, the displacements of the beam at x < 0 and x > 0 are respectively as follows:…”

Section: Feedback Wave Control Of Cantilever Platementioning

confidence: 99%

Wave Mode Control of Cantilever Slab Structure of T‐Beam Bridge with Large Aspect Ratio

Liu

Zhou

Yan

et al. 2021

Advances in Civil Engineering

View full text Add to dashboard Cite

The cantilever plate structure in a T-beam bridge with a large aspect ratio will cause vibration under the influence of environmental disturbance and self-stress, resulting in fatigue damage of the plate structure. Wave control based on elastic wave theory is an effective method to suppress the vibration of the cantilever plate structure in a beam bridge. Based on the classical thin plate theory and the wave control method, the active vibration control of the T-shaped cantilever plate with a large aspect ratio in the beam bridge is studied in this paper. The wave mode control strategy of structural vibration is analyzed and studied, the controller is designed, the vibration mode function of the cantilever plate is established, and the control force/sensor feedback wave control is implemented for the structure. The dynamic response of the cantilever plate before and after applying wave control force is analyzed through numerical examples. The results show that the response of the structure is intense before control, but after wave control, the structure increases damping, absorbs the energy carried by the elastic wave in the structure, weakens the sharp response, and changes the natural frequency of the structure to a certain extent.

show abstract

“…Shakir and Saber [ 69 ] developed a linear coupled FE model by ANSYS for the PZT actuation of a cantilever beam to study smart beam behavior in open and closed-loop cases. Qiu et al [ 70 ] developed a sliding mode control strategy to damp the vibration of a PZT flexible cantilever plate. The FE modeling was used to simulate the controller on bending and torsional vibration in their research.…”

Section: Introductionmentioning

confidence: 99%

Smart Active Vibration Control System of a Rotary Structure Using Piezoelectric Materials

Hashemi

Jang

Hosseini-Hashemi

2022

Sensors

View full text Add to dashboard Cite

A smart active vibration control (AVC) system containing piezoelectric (PZT) actuators, jointly with a linear quadratic regulator (LQR) controller, is proposed in this article to control transverse deflections of a wind turbine (WT) blade. In order to apply controlling rules to the WT blade, a state-of-the-art semi-analytical solution is developed to obtain WT blade lateral displacement under external loadings. The proposed method maps the WT blade to a Euler–Bernoulli beam under the same conditions to find the blade’s vibration and dynamic responses by solving analytical vibration solutions of the Euler–Bernoulli beam. The governing equations of the beam with PZT patches are derived by integrating the PZT transducer vibration equations into the vibration equations of the Euler–Bernoulli beam structure. A finite element model of the WT blade with PZT patches is developed. Next, a unique transfer function matrix is derived by exciting the structures and achieving responses. The beam structure is projected to the blade using the transfer function matrix. The results obtained from the mapping method are compared with the counter of the blade’s finite element model. A satisfying agreement is observed between the results. The results showed that the method’s accuracy decreased as the sensors’ distance from the base of the wind turbine increased. In the designing process of the LQR controller, various weighting factors are used to tune control actions of the AVC system. LQR optimal control gain is obtained by using the state-feedback control law. The PZT actuators are located at the same distance from each other an this effort to prevent neutralizing their actuating effects. The LQR shows significant performance by diminishing the weights on the control input in the cost function. The obtained results indicate that the proposed smart control system efficiently suppresses the vibration peaks along the WT blade and the maximum flap-wise displacement belonging to the tip of the structure is successfully controlled.

show abstract

Sliding mode predictive vibration control of a piezoelectric flexible plate

Cited by 8 publications

References 28 publications

A state-of-the-art on smart materials actuators over the last decade: control aspects for diverse applications

A state-of-the-art on smart materials actuators over the last decade: control aspects for diverse applications

Wave Mode Control of Cantilever Slab Structure of T‐Beam Bridge with Large Aspect Ratio

Smart Active Vibration Control System of a Rotary Structure Using Piezoelectric Materials

Contact Info

Product

Resources

About