This paper proposes an effective approach to en-hance bandgap depth in metastructures with high damping ratios, utilizing piezoelectric actuators coupled with notch filters for improved vibration isolation. The active control strategy focuses on dynamically attenuating specific resonant frequencies through the application of notch filters within the actuator control loops. AI algorithm, in particular Reinforcement Learning, is employed to optimize the notch filter parameters, thereby fine-tuning the system's response. Numerical validation reveals that this approach not only maintains system stability but also significantly deepens the bandgap. The results highlight that utilizing notched piezo-actuation achieves a more pronounced bandgap depth in overdamped systems compared to traditional piezo-actuated resonators, marking a substantial advancement in vibration control technologies.

This study explores the optimization of bandgap characteristics in locally resonant metastructures through advanced artificial intelligence (AI) and optimization algorithms, focusing on the accurate estimation of resonator damping ratios. By developing a novel mathematical framework for metastructure analysis, this research diverges from traditional methods, offering a more nuanced approach to bandgap manipulation. This research significantly improves metastructure modeling accuracy by precisely estimating resonator and structural damping ratios, enhancing model fidelity crucial for analysis, control strategies, and design optimization. Through a combination of model simulations and experimental validation, the efficacy of the Hybrid Genetic Algorithm-Particle Swarm Optimization (GA-PSO) algorithm is demonstrated, highlighting its potential for practical applications in engineering metastructures. This paper not only provides a robust method for estimating damping ratios but also opens new avenues for future research, including the application of machine learning techniques and the development of intelligent materials. The findings of this study contribute to the foundational understanding necessary for the advancement of mathematical modeling metamaterials, with broad implications for industries where precise vibration control is crucial.

This study delves into the nonlinear dynamics of metamaterials, exploring the dual objective of enhancing power output and achieving vibration suppression through piezoelectric energy harvesters (PEHs). Our approach is structured into a sequence of increasingly complex models that bridge mechanical resonators with their electromechanical counterparts. We initiate with (1) modeling mechanical resonators, incorporating nonlinear behaviors that are often overlooked in the linear domain. This lays the groundwork for understanding the fundamental mechanisms of vibration within metamaterials. Subsequently, we progress to (2) electromechanical resonators, where piezoelectric components are integrated, revealing a richer dynamic landscape that is influenced by the interplay of mechanical and electrical energies. The latter sections of our investigation introduce and examine (3) mechanical and (4) electromechanical internally coupled resonators. These segments unveil the role of internal couplings in steering the metamaterial’s energy harvesting capabilities and its resilience to vibrational disturbances. Through meticulous simulations and analysis, the research brings to light the significant influence of specific PEH nonlinear parameters on the system’s efficiency, offering insights for the optimization of PEHs in practical applications.

Metamaterials have marked notable advancements in vibration damping and energy harvesting. However, the specific impact of internal coupled resonators, encompassing both linear and nonlinear types, has received limited attention from researchers. This study aims to delve into this underexplored area. Utilizing a distributed parameter model grounded in modal analysis, our research investigates the effects of these coupled resonators on metamaterial functionality. We particularly emphasize the influence of varying the position of attached masses and its consequent impact on the bandgap properties. Through developing theoretical and mathematical models for metastructural beams with internally coupled resonators, our approach facilitates future simulations and analyses. This investigation not only provides pivotal insights for the design and optimization of metamaterials but also underscores the possible potential of manipulating resonator properties to broaden their practical applications.

The dynamics of metastructures, incorporating both conventional and internally coupled resonators, are investigated to enhance vibration suppression capabilities through a novel mathematical framework. A close-form formulation and a transfer function methodology are introduced, integrating control system theory with metastructure analysis, offering new insights into the role of internal coupling. The findings reveal that precise internal coupling, when matched exactly to the stiffness of the resonator, enables the clear formation of secondary bandgaps, significantly influencing the vibration isolation efficacy of the metastructure. Although the study primarily focuses on theoretical and numerical analyses, the implications of adjusting mass distribution on resonators are also explored. This formulation methodology enables the adjustment of bandgap characteristics, underscoring the potential for adaptive control over bandgaps in metastructures. Such capabilities are crucial for tailoring the vibration isolation and energy harvesting functionalities in mechanically resonant systems, especially when applied to demanding heavy-duty applications.

This article explores internally coupled resonators in metamaterial systems, focusing on mechanical and electromechanical coupling. The article provides a thorough examination of stability within the context of internally coupled resonators. It establishes stability criteria, emphasizing the importance of strictly stable systems in practical applications. Furthermore, it analyzes stability through simulations, revealing how various parameters impact system behavior and highlighting the challenges and benefits of achieving stability in metamaterial systems. Additionally, the article explores the impact of damping coefficients and resonator characteristics, on displacement and power generation profiles. Nonlinear behavior in internally coupled resonators is examined, revealing the presence of bifurcation in simulation and offering insights into multi-stability and system behavior.

This paper examines the stability implications of integrating piezoelectric actuators into metamaterial beams, focusing on the compensation of structural damping and its effect on the system's dynamic performance. Metamaterials, characterized by their unique bandgap properties, offer potential in various engineering applications, including vibration control and energy harvesting. However, structural damping inherent in such systems can degrade these properties, prompting the use of piezoelectric actuators as a compensatory mechanism. Through a distributed parameter model and modal analysis, this study explores the temporal and spatial dynamics of the metamaterial beam and investigates how piezoelectric actuation influences the natural frequencies and mode shapes, with a particular emphasis on stability thresholds. Employing root locus analysis, the paper visualizes the transition of system stability across different levels of actuation voltage, highlighting the delicate balance between enhanced performance and stability. The findings delineate a clear operational voltage range, within which piezoelectric actuation improves bandgap properties without compromising system stability.

This research explores the feasibility of using a cantilever-type resonator beam to achieve tunable and real-time control of vibration suppression. By varying the center of mass of the attached masses, the bandgap and transmittance response can be significantly impacted. The results suggest potential for improving resonator performance and optimizing metamaterial beams for vibration suppression applications.

The interest in fractional-order (FO) control can be traced back to the late nineteenth century. The growing tendency towards using fractional-order proportional-integral-derivative (FOPID) control has been fueled mainly by the fact that these controllers have additional 'tuning knobs' that allow coherent adjustment of the dynamics of control systems. For instance, in certain cases, the capacity for additional frequency response shaping gives rise to the generation of control laws that lead to superior performance of control loops. These fractional-order control laws may allow fulfilling intricate control performance requirements that are otherwise not in the span of conventional integer-order control systems. However, there are underpinning points that are rarely addressed in the literature: (1) What are the particular advantages (in concrete figures) of FOPID controllers versus conventional, integer-order (IO) PID controllers in light of the complexities arising in the implementation of the former? (2) For real-time implementation of FOPID controllers, approximations are used that are indeed equivalent to high-order linear controllers. What, then, is the benefit of using FOPID controllers? Finally, (3) What advantages are to be had from having a near-ideal fractional-order behavior in control practice? In the present paper, we attempt to address these issues by reviewing a large portion of relevant publications in the fast-growing FO control literature, outline the milestones and drawbacks, and present future perspectives for industrialization of fractional-order control. Furthermore, we comment on FOPID controller tuning methods from the perspective of seeking globally optimal tuning parameter sets and how this approach can benefit designers of industrial FOPID control. We also review some CACSD (computer-aided control system design) software toolboxes used for the design and implementation of FOPID controllers. Finally, we draw conclusions and formulate suggestions for future research.

A stunning outcome of fractional calculus for control practice are fractional-order PID (FOPID) controllers. Based on their experimental and numerical results, several studies have reported improvements in control performance of closed loop control systems by FOPID controllers compared to classical PID controllers. However, the industry at large is still cautious about adopting FOPID controllers because of the lack of concrete data about the related cost-benefit trade-off. Main concerns arise at the point that there have not been a quantitative evaluation scheme that clearly demonstrates for which concrete cases FOPID controllers can provide considerable improvements in control. Therefore, there is a need for more thorough theoretical and quantitative demonstrations. To that end, this study presents a plant function independent evaluation methodology to reveal inherent advantages of FOPID control. Impacts of two additional controller coefficients, namely fractional orders of differentiator and integrator, are analyzed in the frequency domain and their contributions to open loop gain maximization, phase margin and Reference to Disturbance Rate (RDR) performance are investigated.

The interest towards using Fractional-order (FO) PID controllers in the industry is mainly fueled by the fact that these controllers have two additional “tuning knobs” that can be used to adjust the control law in a way that would benefit the control loop. However, there are certain points that are rarely addressed in literature, namely: (1) What are the particular advantages (in concrete numbers) of FOPID controllers versus conventional, integer-order (IO) PID controllers in the light of complexities arising in the implementation of the former? (2) For real-time implementation of FOPID controllers, approximations are used that are equivalent to high order linear controllers. What, then, is the benefit of using FOPID controllers? In the present paper, we attempt to address these issues by reviewing recent literature in the field and by providing relevant analysis and recommendations.