Optimizing Input Shaping for Flexible Beam Vibration Control Using Self-Adaptive Differential Evolution
DOI:
https://doi.org/10.18196/jrc.v6i3.26324Keywords:
Flexible Cantilever Beam, Input Shaping Control, Self-Adaptive Differential Evolution, Vibration Control, JADEAbstract
This study develops a control strategy for the flexible beam linked to a moving hub utilizing input shaping control. The input shaping control technique is an open-loop control approach that employs a shaped command to suppress the undesired vibration. This command is formed by convolving the original command with input shapers (a sequence of impulses with amplitude and temporal location). Unlike the conventional input shaping control, which calculates the input shapers based on the system's natural frequencies and attenuation ratios, a metaheuristic input shaper searcher based on the self-adaptive differential evolution algorithm is employed in this paper to identify the optimal input shapers. Using this algorithm, the specifications of input shapers, including the amplitudes and time locations, can be optimized to ensure that the cost function corresponding to the position error and beam’s vibration approaches the global minimum value. The control performance is proved via the numerical simulation. The simulation results demonstrate that input shaping control utilizing optimized input shapers can significantly reduce residual vibrations in the beam. While this control strategy requires substantial computational resources and longer computation times to develop the optimal input shapers compared to traditional techniques, the effectiveness of the optimal input shapers in attenuating vibrations is remarkable.
References
W. Xia, Z. Li, M. Chen, Y. Zhang, and W. Zhao, “Study on electrode vibration in the touch-down stage of fast electrical discharge machining drilling,” Int. J. Adv. Manuf. Technol., vol. 109, pp. 2273–2283, 2020.
B. Li, X. Li, H. Gao, and F. -Y. Wang, "Advances in Flexible Robotic Manipulator Systems — Part II: Planning, Control, Applications, and Perspectives," in IEEE/ASME Transactions on Mechatronics, vol. 29, no. 3, pp. 1680-1689, June 2024.
A. Beiranvand, A. Kalhor, and M. T. Masouleh, “Modeling, identification and minimum length integral sliding mode control of a 3-DOF cartesian parallel robot by considering virtual flexible links,” Mech. Mach. Theory, vol. 157, p. 104183, 2021.
B. Li, X. Li, H. Gao, and F. -Y. Wang, "Advances in Flexible Robotic Manipulator Systems—Part I: Overview and Dynamics Modeling Methods," in IEEE/ASME Transactions on Mechatronics, vol. 29, no. 2, pp. 1100-1110, April 2024.
W. Hu, M. Xu, F. Zhang, C. Xiao, and Z. Deng, “Dynamic analysis on flexible hub-beam with step-variable cross-section,” Mech. Syst. Signal Process., vol. 180, p. 109423, 2022.
A. Öchsner and A. Öchsner, “Euler–Bernoulli beam theory,” Class. Beam Theor. Struct. Mech., pp. 7–66, 2021.
J. A. Haider, F. Zaman, S. A. Lone, S. Anwar, S. A. Almutlak, and I. E. Elseesy, “Exact solutions of Euler–Bernoulli beams,” Mod. Phys. Lett. B, vol. 37, no. 33, p. 2350161, 2023.
L. Wang, Y. Chen, G. Cheng, and T. Barrière, “Numerical analysis of fractional partial differential equations applied to polymeric visco-elastic Euler-Bernoulli beam under quasi-static loads,” Chaos Solitons Fractals, vol. 140, p. 110255, 2020.
G. Zhang and X.-L. Gao, “A new Bernoulli–Euler beam model based on a reformulated strain gradient elasticity theory,” Math. Mech. Solids, vol. 25, no. 3, pp. 630–643, 2020.
G. Snehasagar, C. Krishnanunni, and B. Rao, “Dynamics of vehicle–pavement system based on a viscoelastic Euler–Bernoulli beam model,” Int. J. Pavement Eng., vol. 21, no. 13, pp. 1669–1682, 2020.
X. Zhang, D. Thompson, and X. Sheng, “Differences between Euler-Bernoulli and Timoshenko beam formulations for calculating the effects of moving loads on a periodically supported beam,” J. Sound Vib., vol. 481, p. 115432, 2020.
A. M. Ahmed and A. M. Rifai, “Euler-bernoulli and timoshenko beam theories analytical and numerical comprehensive revision,” Eur. J. Eng. Technol. Res., vol. 6, no. 7, pp. 20–32, 2021.
P.-T. Pham and K.-S. Hong, “Dynamic models of axially moving systems: A review,” Nonlinear Dyn., vol. 100, no. 1, pp. 315–349, 2020.
P.-T. Pham, Q. C. Nguyen, M. Yoon, and K.-S. Hong, “Vibration control of a nonlinear cantilever beam operating in the 3D space,” Sci. Rep., vol. 12, no. 1, p. 13811, 2022.
X. Guo, X. Yang, F. Liu, Z. Liu, and X. Tang, “Dynamic analysis of the flexible hub-beam system based on rigid-flexible coupling mechanism,” Proc. Inst. Mech. Eng. Part K J. Multi-Body Dyn., vol. 234, no. 3, pp. 536–545, 2020.
L. Kloda and J. Warminski, “Nonlinear longitudinal–bending–twisting vibrations of extensible slowly rotating beam with tip mass,” Int. J. Mech. Sci., vol. 220, p. 107153, 2022.
M. Xu, W. Hu, Z. Han, H. Bai, Z. Deng, and C. Zhang, “Symmetry-breaking dynamics of a flexible hub-beam system rotating around an eccentric axis,” Mech. Syst. Signal Process., vol. 222, p. 111757, 2025.
J. Fan, D. Zhang, and H. Shen, “Dynamic modeling and simulation of a rotating flexible hub-beam based on different discretization methods of deformation fields,” Arch. Appl. Mech., vol. 90, pp. 291–304, 2020.
W. Hu et al., “Mechanoelectrical flexible hub-beam model of ionic-type solvent-free nanofluids,” Mech. Syst. Signal Process., vol. 159, p. 107833, 2021.
J. Warminski, L. Kloda, and S. Lenci, “Nonlinear vibrations of an extensional beam with tip mass in slewing motion,” Meccanica, vol. 55, no. 12, pp. 2311–2335, 2020.
W. He, T. Wang, X. He, L.-J. Yang, and O. Kaynak, “Dynamical modeling and boundary vibration control of a rigid-flexible wing system,” IEEEASME Trans. Mechatron., vol. 25, no. 6, pp. 2711–2721, 2020.
P.-T. Pham, Q. C. Nguyen, J. Kwon, and K.-S. Hong, “Adaptive control of a flexible varying-length beam with a translating base in the 3d space,” Int. J. Control Autom. Syst., vol. 21, no. 3, pp. 711–726, 2023.
Y. Wang, Y. Fang, L. Li, D. Zhang, W.-H. Liao, and J. Fang, “Dynamic modeling and vibration suppression of a rotating flexible beam with segmented active constrained layer damping treatment,” Aerospace, vol. 10, no. 12, p. 1010, 2023.
M. R. Homaeinezhad and M. Abbasi Gavari, “Feedback control of actuation-constrained moving structure carrying Timoshenko beam,” Int. J. Robust Nonlinear Control, vol. 33, no. 3, pp. 1785–1806, 2023.
P.-T. Pham, G.-H. Kim, and K.-S. Hong, “Vibration control of a Timoshenko cantilever beam with varying length,” Int. J. Control Autom. Syst., vol. 20, no. 1, pp. 175–183, 2022.
M. Vakil, E. Sharbati, A. Vakil, F. Heidari, and R. Fotouhi, “Vibration analysis of a Timoshenko beam on a moving base,” J. Vib. Control, vol. 21, no. 6, pp. 1068–1085, 2015.
U. H. Shah and K.-S. Hong, “Active vibration control of a flexible rod moving in water: Application to nuclear refueling machines,” Automatica, vol. 93, pp. 231–243, 2018.
K. Singh, S. Sharma, R. Kumar, and M. Talha, “Vibration control of cantilever beam using poling tuned piezoelectric actuator,” Mech. Based Des. Struct. Mach., vol. 51, no. 4, pp. 2217–2240, 2023.
M. Cui, H. Liu, H. Jiang, Y. Zheng, X. Wang, and W. Liu, “Active vibration optimal control of piezoelectric cantilever beam with uncertainties,” Meas. Control, vol. 55, no. 5–6, pp. 359–369, 2022.
Z. Huang, F. Huang, X. Wang, and F. Chu, “Active vibration control of composite cantilever beams,” Materials, vol. 16, no. 1, p. 95, 2022.
Z. Qiu, Y. Yang, and X. Zhang, “Reinforcement learning vibration control of a multi-flexible beam coupling system,” Aerosp. Sci. Technol., vol. 129, p. 107801, 2022.
Q. Lu, P. Wang, and C. Liu, “An analytical and experimental study on adaptive active vibration control of sandwich beam,” Int. J. Mech. Sci., vol. 232, p. 107634, 2022.
K. G. Aktas and I. Esen, “State-space modeling and active vibration control of smart flexible cantilever beam with the use of finite element method,” Eng. Technol. Appl. Sci. Res., vol. 10, no. 6, pp. 6549–6556, 2020.
X. Zhao, S. Zhang, Z. Liu, and Q. Li, “Vibration control for flexible manipulators with event-triggering mechanism and actuator failures,” IEEE Trans. Cybern., vol. 52, no. 8, pp. 7591–7601, 2021.
M. Liu, D. Cao, J. Li, X. Zhang, and J. Wei, “Dynamic modeling and vibration control of a large flexible space truss,” Meccanica, vol. 57, no. 5, pp. 1017–1033, 2022.
M. Shao, Y. Huang, and V. V. Silberschmidt, “Intelligent manipulator with flexible link and joint: modeling and vibration control,” Shock Vib., vol. 2020, no. 1, p. 4671358, 2020.
L. Cui, H. Wang, and W. Chen, “Trajectory planning of a spatial flexible manipulator for vibration suppression,” Robot. Auton. Syst., vol. 123, p. 103316, 2020.
T. Long et al., “A vibration control method for hybrid-structured flexible manipulator based on sliding mode control and reinforcement learning,” IEEE Trans. Neural Netw. Learn. Syst., vol. 32, no. 2, pp. 841–852, 2020.
X. He, S. Zhang, Y. Ouyang, and Q. Fu, “Vibration control for a flexible single-link manipulator and its application,” IET Control Theory Appl., vol. 14, no. 7, pp. 930–938, 2020.
J. Michael Sinapius et al., “Active Vibration Control,” in Adaptronics–Smart Structures and Materials, Springer, 2020, pp. 227–329.
Q. Meng, X. Lai, Z. Yan, and M. Wu, “Tip position control and vibration suppression of a planar two-link rigid-flexible underactuated manipulator,” IEEE Trans. Cybern., vol. 52, no. 7, pp. 6771–6783, 2020.
Q. Meng, X. Lai, Z. Yan, C.-Y. Su, and M. Wu, “Motion planning and adaptive neural tracking control of an uncertain two-link rigid–flexible manipulator with vibration amplitude constraint,” IEEE Trans. Neural Netw. Learn. Syst., vol. 33, no. 8, pp. 3814–3828, 2021.
Z. Zhao, C. K. Ahn, and H.-X. Li, “Dead zone compensation and adaptive vibration control of uncertain spatial flexible riser systems,” IEEEASME Trans. Mechatron., vol. 25, no. 3, pp. 1398–1408, 2020.
Z. Liu, X. He, Z. Zhao, C. K. Ahn, and H.-X. Li, “Vibration control for spatial aerial refueling hoses with bounded actuators,” IEEE Trans. Ind. Electron., vol. 68, no. 5, pp. 4209–4217, 2020.
Q. C. Nguyen and H. Q. T. Ngo, “Input shaping control to reduce residual vibration of a flexible beam,” J. Comput. Sci. Cybern., vol. 32, no. 1, pp. 75–90, 2016.
W. Singhose, “Command shaping for flexible systems: A review of the first 50 years,” Int. J. Precis. Eng. Manuf., vol. 10, pp. 153–168, 2009.
D. K. Thomsen, R. Søe-Knudsen, O. Balling, and X. Zhang, “Vibration control of industrial robot arms by multi-mode time-varying input shaping,” Mech. Mach. Theory, vol. 155, p. 104072, 2021.
M. Kasprowiak, A. Parus, and M. Hoffmann, “Vibration suppression with use of input shaping control in machining,” Sensors, vol. 22, no. 6, p. 2186, 2022.
A. Mohammed, K. Alghanim, and M. Taheri Andani, “An adjustable zero vibration input shaping control scheme for overhead crane systems,” Shock Vib., vol. 2020, no. 1, p. 7879839, 2020.
C. Ahumada and P. Wheeler, “Evaluation of input-shaping control robustness for the reduction of torsional vibrations,” IEEE Trans. Ind. Appl., vol. 57, no. 5, pp. 5028–5038, 2021.
J. Wang, D.-X. Li, J. Wang, and D.-X. Li, “Optimal variable amplitudes input shaping control for slew maneuver of flexible spacecraft,” Rigid-Flex. Coupling Dyn. Control Flex. Spacecr. Time-Varying Parameters, pp. 105–137, 2022.
S. Bhattacharjee, J. J. Kim, and J. Hudson, “Input Shaping Control of a Flexible Structure for Rest-to-Rest and Non-Rest-to-Rest Maneuvers,” Appl. Sci., vol. 15, no. 6, p. 2952, 2025.
W. Tang, R. Ma, W. Wang, and H. Gao, “Optimization-based input-shaping swing control of overhead cranes,” Appl. Sci., vol. 13, no. 17, p. 9637, 2023.
S. Baklouti, E. Courteille, P. Lemoine, and S. Caro, “Input shaping for feed-forward control of cable-driven parallel robots,” J. Dyn. Syst. Meas. Control, vol. 143, no. 2, p. 021007, 2021.
A. B. Alhassan, R. Chancharoen, B. B. Muhammad, and G. Phanomchoeng, “Precise automation of rotary flexible link manipulator using hybrid input shaping with single state feedback fuzzy logic and sliding mode controllers,” IEEE Access, vol. 11, pp. 86711–86726, 2023.
W. Tang, E. Zhao, L. Sun, and H. Gao, “An active swing suppression control scheme of overhead cranes based on input shaping model predictive control,” Syst. Sci. Control Eng., vol. 11, no. 1, p. 2188401, 2023.
G. Peláez, C. Alonso, H. Rubio, and J. C. García-Prada, “Performance analysis of input shaped model reference adaptive control for a single-link flexible manipulator,” J. Vib. Control, vol. 30, no. 21–22, pp. 5018–5030, 2024.
S. Y. S. Hussien, H. I. Jaafar, R. Ghazali, L. Ramli, and M. K. A. Johari, “Control of a Multimode Double-Pendulum Overhead Crane System Using Input Shaping Controllers.,” Int. J. Robot. Control Syst., vol. 4, no. 3, 2024.
H.-P. Nguyen, N.-T. Bui, and others, “Tracking Control Based on Takagi-Sugeno Fuzzy Descriptor Model for Overhead Crane combined with Input Shaping,” IEEE Access, 2024.
M. F. Daqaq, C. Reddy, and A. H. Nayfeh, “Input-shaping control of nonlinear MEMS,” Nonlinear Dyn., vol. 54, pp. 167–179, 2008.
K. Kim, J. Kim, Y. Park, S.-H. Kim, and J.-H. Lee, “Shaped input for reducing crosstalk of two-axis MEMS scanners,” Sens. Actuators Phys., vol. 349, p. 114002, 2023.
T. D. Tuttle and W. P. Seering, “Experimental verification of vibration reduction in flexible spacecraft using input shaping,” J. Guid. Control Dyn., vol. 20, no. 4, pp. 658–664, 1997.
U. H. Shah and K.-S. Hong, “Input shaping control of a nuclear power plant’s fuel transport system,” Nonlinear Dyn., vol. 77, pp. 1737–1748, 2014.
P.-T. Pham, G.-H. Kim, Q. C. Nguyen, and K.-S. Hong, “Control of a non-uniform flexible beam: Identification of first two modes,” Int. J. Control Autom. Syst., vol. 19, no. 11, pp. 3698–3707, 2021.
M. Pant, H. Zaheer, L. Garcia-Hernandez, A. Abraham, and others, “Differential Evolution: A review of more than two decades of research,” Eng. Appl. Artif. Intell., vol. 90, p. 103479, 2020.
T. A. Rahman, A. As’arry, N. A. Jalil, and R. Kamil, “Dynamic modelling of a flexible beam structure using feedforward neural networks for active vibration control,” Int. J. Automot. Mech. Eng., vol. 16, no. 1, pp. 6263–6280, 2019.
W. Deng, S. Shang, X. Cai, H. Zhao, Y. Song, and J. Xu, “An improved differential evolution algorithm and its application in optimization problem,” Soft Comput., vol. 25, pp. 5277–5298, 2021.
W. Deng, J. Xu, Y. Song, and H. Zhao, “Differential evolution algorithm with wavelet basis function and optimal mutation strategy for complex optimization problem,” Appl. Soft Comput., vol. 100, p. 106724, 2021.
Y. Song, G. Zhao, B. Zhang, H. Chen, W. Deng, and W. Deng, “An enhanced distributed differential evolution algorithm for portfolio optimization problems,” Eng. Appl. Artif. Intell., vol. 121, p. 106004, 2023.
T. N. Huynh, D. T. Do, and J. Lee, “Q-Learning-based parameter control in differential evolution for structural optimization,” Appl. Soft Comput., vol. 107, p. 107464, 2021.
Z. Meng and C. Yang, “Two-stage differential evolution with novel parameter control,” Inf. Sci., vol. 596, pp. 321–342, 2022.
Y. Li, T. Han, S. Tang, C. Huang, H. Zhou, and Y. Wang, “An improved differential evolution by hybridizing with estimation-of-distribution algorithm,” Inf. Sci., vol. 619, pp. 439–456, 2023.
J. Sun, X. Liu, T. Bäck, and Z. Xu, “Learning adaptive differential evolution algorithm from optimization experiences by policy gradient,” IEEE Trans. Evol. Comput., vol. 25, no. 4, pp. 666–680, 2021.
G. Sun, B. Yang, Z. Yang, and G. Xu, “An adaptive differential evolution with combined strategy for global numerical optimization,” Soft Comput., vol. 24, pp. 6277–6296, 2020.
M. Georgioudakis and V. Plevris, “A comparative study of differential evolution variants in constrained structural optimization,” Front. Built Environ., vol. 6, p. 102, 2020.
Y. Han et al., “Multi-strategy multi-objective differential evolutionary algorithm with reinforcement learning,” Knowl.-Based Syst., vol. 277, p. 110801, 2023.
E. Reyes-Davila, E. H. Haro, A. Casas-Ordaz, D. Oliva, and O. Avalos, “Differential evolution: a survey on their operators and variants,” Arch. Comput. Methods Eng., vol. 32, no. 1, pp. 83–112, 2025.
R. Storn and K. Price, “Differential evolution–a simple and efficient heuristic for global optimization over continuous spaces,” J. Glob. Optim., vol. 11, pp. 341–359, 1997.
C. Venkateswaran, M. Ramachandran, M. Amudha, T. Vennila, and M. Manjula, “A Review on Differential Evolution Optimization Techniques,” Data Anal. Artif. Intell., vol. 1, no. 1, pp. 24–31, 2021.
M. S. Saad, H. Jamaluddin, and I. Z. M. Darus, “Active vibration control of flexible beam using differential evolution optimisation,” World Acad. Sci. Technol., vol. 6, no. 2, pp. 419–426, 2012.
M. Marinaki, Y. Marinakis, and G. E. Stavroulakis, “Fuzzy control optimized by a multi-objective differential evolution algorithm for vibration suppression of smart structures,” Comput. Struct., vol. 147, pp. 126–137, 2015.
Y. Zhang, J. Liu, and W. He, “Vibration control for a nonlinear three-dimensional flexible manipulator trajectory tracking,” Int. J. Control, vol. 89, no. 8, pp. 1641–1663, 2016.
M. Saad, “Evolutionary optimization and real-time self-tuning active vibration control of a flexible beam system,” Ph Thesis Fac. Mech. Eng. Univ. Teknol. Malays., 2014.
K. Nishihara and M. Nakata, “Comparison of adaptive differential evolution algorithms on the MOEA/D-DE framework,” in 2021 IEEE Congress on Evolutionary Computation (CEC), IEEE, 2021, pp. 161–168.
S. M. Elsayed, R. A. Sarker, and D. L. Essam, “An improved self-adaptive differential evolution algorithm for optimization problems,” IEEE Trans. Ind. Inform., vol. 9, no. 1, pp. 89–99, 2012.
X. Zhang, L. Jin, C. Cui, and J. Sun, “A self-adaptive multi-objective dynamic differential evolution algorithm and its application in chemical engineering,” Appl. Soft Comput., vol. 106, p. 107317, 2021.
H. Zhang, J. Sun, K. C. Tan, and Z. Xu, “Learning adaptive differential evolution by natural evolution strategies,” IEEE Trans. Emerg. Top. Comput. Intell., vol. 7, no. 3, pp. 872–886, 2022.
Y. Cao and J. Luan, “A novel differential evolution algorithm with multi-population and elites regeneration,” Plos One, vol. 19, no. 4, p. e0302207, 2024.
J.-S. Pan, N. Liu, and S.-C. Chu, “A hybrid differential evolution algorithm and its application in unmanned combat aerial vehicle path planning,” IEEE Access, vol. 8, pp. 17691–17712, 2020.
J. Kushida, A. Hara, and T. Takahama, “Generation of adversarial examples using adaptive differential evolution,” Int J Innov Comput Inf Control, vol. 16, no. 1, pp. 405–414, 2020.
S. Li, Q. Gu, W. Gong, and B. Ning, “An enhanced adaptive differential evolution algorithm for parameter extraction of photovoltaic models,” Energy Convers. Manag., vol. 205, p. 112443, 2020.
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