Abstract:While fractional calculus (FC) is as old as integer calculus, its application has been mainly restricted to mathematics. However, many real systems are better described using FC equations than with integer models. FC is a suitable tool for describing systems characterised by their fractal nature, long-term memory and chaotic behaviour. It is a promising methodology for failure analysis and modelling, since the behaviour of a failing system depends on factors that increase the model's complexity. This paper exp… Show more
“…Our SFC solutions can be viewed as a support for other control solutions including fuzzy, neural, sliding mode and adaptive control (Blažič et al, 2010;Precup et al, 2009Precup et al, , 2012Ruano et al, 2002). The performance can be improved by inserting sensitivity, robustness objectives and constraints (Casavola et al, 2014;Gutiérrez-Carvajal et al, 2016). The pole placement method applied in this paper can be replaced by the optimal design and tuning by means of classical or modern optimization algorithms (Bandarabadi et al, 2015;Johanyák, 2015;Menchaca-Mendez and Coello Coello, 2016).…”
This paper presents details regarding the design of two state feedback control (SFC) solutions for the position control of a mechatronics application represented by the Model 220 Industrial Plant Emulator. Since SFC is not effective in terms of zero steady-state control error, the SFC structure of both solutions is inserted in a control loop that contains a PID controller with or without low-pass filter. This leads to the two SFC solutions proposed in this paper and dedicated to mechatronics applications with variable moment of inertia. The PID controllers are tuned by the Modulus Optimum method to ensure high control system performance expressed as increased phase margins and improved tracking performance. The performance of the proposed SFC solutions is illustrated by case studies that deal with experimentally identified parameters in two situations, rigid body dynamics and flexible drive dynamics. Simulation and experimental results obtained for the three significant values of the moment of inertia of the load disk are given.
“…Our SFC solutions can be viewed as a support for other control solutions including fuzzy, neural, sliding mode and adaptive control (Blažič et al, 2010;Precup et al, 2009Precup et al, , 2012Ruano et al, 2002). The performance can be improved by inserting sensitivity, robustness objectives and constraints (Casavola et al, 2014;Gutiérrez-Carvajal et al, 2016). The pole placement method applied in this paper can be replaced by the optimal design and tuning by means of classical or modern optimization algorithms (Bandarabadi et al, 2015;Johanyák, 2015;Menchaca-Mendez and Coello Coello, 2016).…”
This paper presents details regarding the design of two state feedback control (SFC) solutions for the position control of a mechatronics application represented by the Model 220 Industrial Plant Emulator. Since SFC is not effective in terms of zero steady-state control error, the SFC structure of both solutions is inserted in a control loop that contains a PID controller with or without low-pass filter. This leads to the two SFC solutions proposed in this paper and dedicated to mechatronics applications with variable moment of inertia. The PID controllers are tuned by the Modulus Optimum method to ensure high control system performance expressed as increased phase margins and improved tracking performance. The performance of the proposed SFC solutions is illustrated by case studies that deal with experimentally identified parameters in two situations, rigid body dynamics and flexible drive dynamics. Simulation and experimental results obtained for the three significant values of the moment of inertia of the load disk are given.
“…Over the past 20 years there has been a surge in the development of fractional order modelling tools for the emulation of complex processes with greater accuracy compared to conventional integer order representations. This has led to an increased interest in the application of fractional order calculus across all branches of sciences, from biology and medicine [1], [2], [3] to mechatronics [4], [5], [6]. Within the circuits and systems community, new opportunities have arisen for the analysis of complex 2-port networks [7] and passive electrical networks composed of fractional elements [8], [9], which also enabled novel control design solutions with improved stability while using fewer components [10].…”
“…3,4 This type of maintenance strategy allows one to estimate the best time to perform a maintenance task, thus providing the availability of qualified operators, tools for the task and so forth, thereby overall improving the system to which the structure belongs. 5,6…”
Section: Introductionmentioning
confidence: 99%
“…3,4 This type of maintenance strategy allows one to estimate the best time to perform a maintenance task, thus providing the availability of qualified operators, tools for the task and so forth, thereby overall improving the system to which the structure belongs. 5,6 Railway vehicles are designed to operate for at least 30 years, but real-life conditions present a complex mixture of alternated loads specific to each railway system, 7 such as railway routes, vehicle types, different operational schedules, and maintenance programs amongst others. This could result in early wearing of components, such as cracks and fissures, which requires frequent corrective maintenance tasks and reduces the lifetime of a vehicle, in terms of operation and reliability.…”
Many structural elements are exposed to load conditions that are difficult to model during the design phase, such as environmental uncertainties, random impacts, and overloading, amongst others, thus increasing unprogrammed maintenance and reducing confidence in the reliability of the structure in question. One way to deal with this problem is to monitor the structural condition of the element. This approach requires supervising several signals coming from critical locations and then performing an accurate condition estimation of the element in question based on the data collected. This study implements a method to diagnose and evaluate the reliability of the bolster beam structure of the railway vehicle during a fatigue test. The results show that multidimensional monitoring not only diagnoses the element accurately but also results in correct estimation of reliability.
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