Optimal Locations on Timoshenko Beam with PZT S/A for Suppressing 2Dof Vibration Based on LQR-MOPSO
محورهای موضوعی : Engineering
1 - Department of Mechanical Engineering, Faculty of Engineering, University of Guilan, Rasht, Iran
2 - Department of Mechanical Engineering, Faculty of Engineering, University of Guilan, Rasht, Iran
کلید واژه: Optimal placement, Timoshenko beam, LQR controller, Keywords : Vibration attenuation, PZT patches, Multi-objective particle swarm optimization,
چکیده مقاله :
Neutralization of external stimuli in dynamic systems has the major role in health, life, and function of the system. Today, dynamic systems are exposed to unpredicted factors. If the factors are not considered, it will lead to irreparable damages in energy consumption and manufacturing systems. Continuous systems such as beams, plates, shells, and panels that have many applications in different industries as the main body of a dynamic system are no exceptions for the damages, but paying attention to the primary design of model the automatic control against disturbances has highly met the objectives of designers and also has saved much of current costs. Beam structure has many applications in constructing blades of gas and wind turbines and robots. When it is exposed to external loads, it will have displacements in different directions. Now, it is the control approach that prevents from many vibrations by designing an automated system. In this study, a cantilever beam has been modeled by finite element and Timoshenko Theory. Using piezoelectric as sensor and actuator, it controls the beam under vibration by LQR controller. Now, in order to increase controllability of the system and reduce the costs, there are only spots of the beam where most displacement occurs. By controlling the spots and applying force on them, it has the most effect on the beam. By multi-objective particle swarm optimization or MOPSO algorithm, the best weighting matrices coefficients of LQR controller are determined due to sensor and actuator displacement or the beam vibration is controlled by doing a control loop.
[1] Quek S.T., Wang S.Y., Ang K.K., 2003, Vibration control of composite plates via optimal placement of piezoelectric patches, Journal of Intelligent Material Systems and Structures 14: 229-245.
[2] Liu W., Hou Z., Demtriou M.A.,2006, A computational scheme for the optimal sensor/actuator placement of flexible structures using spatial measures, Mechanical System and Signal Processing 20: 881-895.
[3] Gua H.Y., Zhang L., Zhang L.L., Zhou J.X., 2004, Optimal placement of sensors for structural health monitoring using improved genetic algorithms, Smart Material and Structures 13: 528.
[4] Rocha da T.L., Silva da S., Lopes Jr V., 2004, Optimal location of piezoelectric sensor and actuator for flexible structures, 11th International Congress on Sound and Vibration, Petersburg, Russia.
[5] Santoes e Lucato S.L.D., Meeking R.M., Evans A.G., 2005, Actuator placement optimization in a kagome based high authority shape morphing structure, Smart Materials and Structures 14: 86-75.
[6] Brasseur M., Boe P.D., Gdinval J.C., Tamaz P., Caule P., Embrechts J.J., Nemerlin J., 2004, Placement of Piezoelectric Laminate Actuator for Active Structural Acoustic Control, University of Twente.
[7] Ning H.H., 2004,Optimal number and placements of piezoelectric patch actuators in structural active vibration control, Engineering Computations 21(6): 601-665.
[8] Oliveira A.S., Junior J.J.L., 2005, Placement optimization of piezoelectric actuators in a simply supported beam through SVD analysis and shape function critic point, 6th World Congress of Structural and Multidisciplinary Optimization, Brazil.
[9] Wang S.Y., Tai K., Quek S.T., 2006, Topology optimization of piezoelectric sensors/actuators for torsional vibration control of composite plates, Smart Materials and Structures 15: 253-269.
[10] Lottin J., Formosa F., Virtosu M., Brunetti L., 2006, About optimal location of sensors and actuators for the control of flexible structures, Research and Education in Mechatronics, Stockholm, Sweden.
[11] Lottin J., Formosa F., Virtosu M., Brunetti L., 2006, Optimization of piezoelectric sensor location for delamination detection in composite laminates, Engineering Optimization 38(5): 511-528.
[12] Belloli A., Ermanni P., 2007, Optimum placement of piezoelectric ceramic modules for vibration suppression of highly constrained structures, Smart Materials and Structures 16: 1662-1671.
[13] Qiu Z.C., Zhang X.M., Wu H.X., Zhang H.H., 2007, Optimal placement and active vibration control for piezoelectric smart flexible cantilever plate, Journal of Sound and Vibration 301: 521-543.
[14] Roy T., Chakraborty D., 2009, GA-LQR based optimal vibration control of smart FRP composite structures with bonded PZT patches, Journal of Reinforced Plastics and Composites 28:1383-1404.
[15] Safizadeh M.R., Mat Darus I.Z., Mailah M., Optimal Placement of Piezoelectric Actuator for Active Vibration Control of Flexible Plate, Faculty of Mechanical Engineering University Technology Malaysia (UTM) 81310 Skudai, Johor, Malaysia.
[16] Yang J.Y., Chen G.P., 2010, Actuator placement and configuration direct optimization in plate structure vibration control system, International Conference on Measuring Technology and Mechatronics Automation.
[17] Yang J., Chen G., 2010, Optimal placement and configuration direction of actuators in plate structure vibration control system, 2nd International Asia Conference on Informatics in Control, Automation and Robotics.
[18] Manjunath T.C., Bandyopadhyay B., 2009, Vibration control of Timoshenko smart structure using multirate output feedback based discrete sliding mode control for SISO systems, Journal Sound and Vibration 326: 50-74.
[19] Logan D.L., 2012, A First Course in the Finite Element Method, Cengage Learning, Amazon.
[20] Clerc M., 2005, Particle Swarm Optimization, ISTE.
[21] Clerc M., Kennedy J., 2002, The particle swarm-explosion stability and convergence in a multidimensional complex space, IEEE Transaction on Evolutionary Computation.