Abstract:Fractional-order (FO) calculus-based modeling and control of ionic polymer-metal composite (IPMC) actuators is studied in this paper. Since IPMC actuators exhibit FO dynamics, a suitable compensator must be designed for control thereof. In this work, we employ FO proportionalintegral-derivative (FOPID) controllers, as well as FO inverse model (FOINVM) based control. Only open-loop control methods are considered. Since process model-based control is used, the IPMC actuator is modeled using a FO transfer functio… Show more
“…However, to ensure that FOPID controllers are ready for at-scale deployment to industrial applications, relevant research must also be conducted to establish the necessary technology readiness level (TRL) [37] of the developed control solutions. For example, in [38], TRL = 5 is achieved by confirming the performance of the tuned fractional-order controller in a series of experiments, thus confirming the reliability of the implemented control algorithm. More research is expected to be published further confirming the reliability of FOPID controllers and reaching greater TRL levels.…”
Section: Relatively Complicated Implementation Of Fopid ⇒supporting
confidence: 54%
“…There is still a lack of such a type of rigorous research. It was recently verified in, e.g., [6], [38], that the technology suitable for actually physically implementing reliable FOPID controllers is readily available and that this technology stands against repeated laboratory tests. One important step for industrialization of FOPID control is clearly to move from laboratory experiments to actual field tests, i.e., to increase the TRL.…”
Section: Industrialization Of Fopid Controllersmentioning
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 fastgrowing 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.
“…However, to ensure that FOPID controllers are ready for at-scale deployment to industrial applications, relevant research must also be conducted to establish the necessary technology readiness level (TRL) [37] of the developed control solutions. For example, in [38], TRL = 5 is achieved by confirming the performance of the tuned fractional-order controller in a series of experiments, thus confirming the reliability of the implemented control algorithm. More research is expected to be published further confirming the reliability of FOPID controllers and reaching greater TRL levels.…”
Section: Relatively Complicated Implementation Of Fopid ⇒supporting
confidence: 54%
“…There is still a lack of such a type of rigorous research. It was recently verified in, e.g., [6], [38], that the technology suitable for actually physically implementing reliable FOPID controllers is readily available and that this technology stands against repeated laboratory tests. One important step for industrialization of FOPID control is clearly to move from laboratory experiments to actual field tests, i.e., to increase the TRL.…”
Section: Industrialization Of Fopid Controllersmentioning
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 fastgrowing 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.
“…In this case the methods of feedforward control or indirect estimation are employed. The feedfor-ward methods include the inversion-based control, applied to IPMC actuators in [32], [35]- [37], [43], [72]. The authors of [108] offered to estimate the IPMC position by means of an observer, developed for the nonlinear model from [107].…”
Section: ) Sensor-less Methodsmentioning
confidence: 99%
“…The application of fractional-order PID controllers to fractional-order models of IPMC was reported in [31] and [32]. Fractional-order models can describe more accurately memory-like characteristics of the IPMC material and fractional-order control methods are more effective than their conventional integer-order counterparts.…”
Ionic polymer-metal composites (IPMC) are electroactive polymers expected to be used as soft actuators in various practical areas like robotics, biomedicine and micro manipulation systems. Though IPMC actuators have many advantages (lightweight, noiseless operation, low operating voltage, possibility of miniaturization), some of their inherent properties (back-relaxation, hysteresis, high sensitivity to ambient conditions, aging) make their precise and reliable control a challenging task. This paper presents a survey of control methods for IPMC actuators. A systematic overview of the techniques, addressing the main challenges in IPMC control, is provided. INDEX TERMS Control methods, electroactive polymer (EAP), ionic polymer-metal composite (IPMC), smart material, soft actuator.
“…Some works concerning the modeling of IPMC with fractional order approaches have also been reported. For instance these works include investigating the bending behavior (Caponetto et al, 2008;, relation between the input and output voltage (Caponetto et al, 2013) and position tracking control (Caponetto et al, 2015;Tepljakov et al, 2019). In these cases the flexibility of fractional order modeling is obvious however there is no physical interpretation for them.…”
The accurate modeling of electrical impedance over a wide range of frequency is essential for precise dynamic modeling and control problems of Electroactive Polymer (EAP) actuators. Recently, fractional order modeling has attracted more attention due to the high accuracy. This paper deals with a fractional order electrical impedance model and its identification procedure for a class of EAP actuator named Ionic Polymer Metal Composite (IPMC). To take IPMC’s fractional characteristic into account, constant phase element (CPE) is used to construct a model structure according to Electrochemical Impedance Spectroscopy (EIS). By employing the Levy’s method in combination with genetic optimization algorithm, the unknown parameters of the resulting fractional transfer function are identified. Finally the proposed model is verified, by comparing with experimental EIS data. The results show that the fractional order model has high accuracy for representing the electrical impedance of IPMC actuator. The proposed modeling procedure is general and can also be used for any type of EAPs.
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