Interactive learning framework for dynamic simulation and control of a two dimensional flexible plate structure

This paper presents investigations into modeling and active vibration control (AVC) of a flexible plate structure using continuous ant system algorithm (CASA) such structures. The optimization technique is utilized to obtain a dynamic model of a flexible plate structure based on auto-regressive with exogenous (ARX) input model structure. The flexible plate structure is subjected to two different disturbance signal types, namely random, and finite duration step. The fitness function for the CASA is the mean-squared error (MSE) between the measured and estimated outputs of the plate. The validation of the algorithm is presented in both time and frequency domains. The developed CASA modeling approach is used for AVC system design to suppress the vibration of the flexible plate. The performance of the controller is assessed in terms of level of attenuation achieved in the power spectral density of the observed signal.

This paper presents investigations of modeling the flexible plate structures using particle swarm optimization (PSO) and active vibration control (AVC) of such structures. The optimization technique is utilized to obtain a dynamic model of a flexible plate structure based on auto-regressive with exogenous (ARX) input structure. The structure is subjected to two different disturbance signal types, namely random, and finite duration step. The fitness function for the PSO is the mean-squared error (MSE) between the measured and estimated outputs of the plate. The validation of the algorithm is presented in both time and frequency domains. The developed PSO modeling approach is used for AVC system design to suppress the vibration of the flexible plate. The performance of the controller is assessed in terms of level of attenuation achieved in the power spectral density (PSD) of the observed signal.

The study of smart structures with active devices of sensors and actuators for self-monitoring and self-adaption has been of much recent research interest. Active vibration control is a major application focus and there has been tremendous amount of research work on active vibration control of flexible structures using piezoelectric materials. In this paper, the control mechanism for a flexible cantilever plate structure using surface bonded piezoelectric sensors and actuators has been studied through analytical simulations and experiments. The sensor outputs were used to determine the amount of input to the actuators for controlling the response of the structure in a closed loop. The responses under different control mechanisms were analysed by three dimensional finite element model. The effectiveness of different feedback control methods in altering system characteristics and system responses of the structure was investigated. Experimental investigations on active vibration control were also conducted on a cantilever plate with surface bonded piezoelectric sensors and actuators.

The flexible structure offers various advantages such as lightweight, efficient, fast system response and low energy consumption. However, this structure produces too much vibration which lead to system failure. This thesis presents a modelling of the horizontal flexible plate system based on cuckoo search algorithm. The aim of this research is to eliminate vibrations produced by the flexible plate structure in order to preserve the performance and lengthen the life of the system. Initially, the system models are developed based on the vibration data collected experimentally. The dynamic models were developed based on auto-regressive with exogenous (ARX) using system identification technique. The system identification technique applied in this study to develop the mathematical models of the system are the conventional technique known as recursive least squares (RLS) and swarm intelligence algorithm known as cuckoo search algorithm (CS). Then, the developed system models were evaluated and validated by mean squared error (MSE), correlation test and also pole-zero diagram. The performance of developed model was compared between the conventional and swarm intelligence algorithms. The best system model was verified based on lowest MSE, within 95% confidence level of the correlation test and high stability of the pole-zero diagram.KeywordsFlexible plateSystem identificationRecursive least algorithmCuckoo search algorithmSwarm intelligence algorithm

In this paper, we developed an approach for active vibration control of flexible rectangular plate structures using control theory. The flexible rectangular plate system is firstly modelled and simulated via a finite element method; and secondly, a new type of modelling method, and the state-space model are involved in the development of the equation of motion in state-space, which is efficiently used for the analysis of the system and design of control laws with a modern control framework. Then, the validity of the obtained new model is investigated by comparing the plate natural frequencies and forced vibration response analysis predicted by the finite element model with the calculated values obtained from new model. After validating the model, nominal model-based sliding mode robust MIMO controller is applied to the plate dynamics via the MATLAB/Simulink platform. The simulation results clearly demonstrate an effective vibration suppression capability that can be achieved using nominal model-based sliding mode robust MIMO controller.

Flexible plate structures have broad applications, ranging from industrial area to space technology. The demand for thin, flexible plate structure has rapidly increased due to industrial evolutions. However, this type of structure leads to high vibration. There are numerous research and study that have been conducted to analyze this problem. The aim of this study is to develop a model characterizing the vibration of a 2-dimensional flexible plate using adaptive neuro-fuzzy inference system (ANFIS).

It is shown that the flow of vibration power through a rigid ’’point’’ connection between flexible plate structures may be evaluated by measuring the imaginary part of the cross-spectral density between the coupling force and the acceleration at the connection point.

In this chapter a descriptive framework for designing interactive digital learning environments for young people is proposed. The proposed framework aims to analyse and compare interactive digital learning environments. This framework may be useful to guide the design of digital learning environments for young people and also to provide a structure for understanding the interface characteristics of such environments and how users interact with them. Young people's characteristics are briefly discussed in relation to the learning process. The approach to creating the framework is presented with the related literature. The framework is described and consists of three main components: learning, user interaction, and visual. Finally, conclusions on the design of interactive digital learning environments are drawn.

Interactive learning is a necessary and fundamental mechanism for knowledge acquisition and the development of both cognitive and physical skills. Before designing interactive learning resources it is important to understand how interactivity works and the nature of the environments that are needed to support it. The effectiveness of these environments also needs to be examined. This paper discusses the basic nature of interactive learning and describes some models to support the design and fabrication of interactive learning systems. A case study describing the application of these models to the creation of multimedia courseware for interactive language learning is then presented.

behaviour, in particular how manipulations of some aspect of the system will effect its behaviour. In order to teach these behavioural characteristics, quantitative simulations of these systems are often used in computer-based learning environments. However, some behavioural fea~ tures are hard to communicate by a computer program that is based on such a quantitative simulation. Among others, generating causal explanations of the systems' behaviour, reasoning from structure (e.g., deriving the behaviour of a given structural description), and qualitativeness in general (e.g. a vocabulary for reasoning about behaviour in qualitative terms) cannot be dealt with adequately. A large part of the research on qualitative reasoning originated from efforts trying to cope with the limitations that followed from using quantitative simulators for teaching purposes. This talk will first discuss the idea of interactive learning environments. In particular, it will focus on the idea of learning by interacting with a simulation model. Next, the talk will present ideas on how qualitative models can be used for this purpose. During the past 10 years a large number of promising results have been achieved by the qualitative reasoning community, whereas at the same time the limitations of the current techniques are well understood. The talk will particularly focus on the use of causal models for curriculum planning, cognitive diagnosis and explanation. Finally, the use of digital multimedia technology provides opportunities to broaden the scope of communication between learner and computer. As such multimedia related issues are important for the construction of interactive articulated learning environments. Interesting is the notion of knowledge-based multimedia: automated generation and adaptation of a certain medium and its contents by a computer program in order to optimise the interaction with a learner or a trainee. The idea of automatic visualisation of qualitative models will be discussed.

Active robust vibration control of flexible structures

In many dynamic systems such as robot and aerospace areas, flexible structures have been extremely employed to satisfy various requirements for large scale, light weight and high speed in dynamic motion. However, these flexible structures are readily susceptible to the internal/external disturbances (or excitations). Therefore, vibration control schemes should be exerted to achieve high performance and stability of flexible structure systems. Recently, in order to successfully achieve vibration control for flexible structures smart materials such as piezoelectric materials [1-2], shape memory alloys [3-4], electrorheological (ER) fluids [5-6] and magnetorheological (MR) fluids [7] are being widely utilized. Among these smart materials, ER or MR fluid exhibits reversible changes in material characteristics when sub‐ jected to electric or magnetic field. The vibration control of flexible structures using the smart ER or MR fluid can be achieved from two different methods. The first approach is to replace conventional viscoelastic materials by the ER or MR fluid. This method is very effec‐ tive for shape control of flexible structures such as plate [5]. The second approach is to de‐ vise dampers or mounts and apply to vibration control of the flexible structures. This method is very useful to isolate vibration of large structural systems subjected to external excitations [6-7]. In this work, a new type of MR mount is proposed and applied to vibration control of the flexible structures.

Children with special educational needs (SEN) achieve lower educational levels than their peers without special needs, leading to a higher risk of social exclusion in the future. Inclusive education aims to promote learning and to benefit the cognitive development of these students, and numerous research studies have indicated that interactive environments benefit inclusion. However, it is necessary to know how these inclusive environments can positively impact the academic improvement and development of these students' cognitive skills. This article provides a review of the scientific literature from Web of Science, SCOPUS, ERIC, and PsychINFO to understand the impact of interactive environments on the academic learning and cognitive skill development of children with SEN. A total of 17 studies were selected. Those studies showed the effectiveness of interactive learning environments in promoting instrumental learning, increasing academic involvement, and improving the cognitive development of children with disabilities. Based on these results, it can be concluded that interaction-based interventions with an inclusive approach nurture the learning and cognitive development of students with SEN.

In-company training is facing new challenges in preparing employees for the demands of digitalized and automated manufacturing. New training concepts like microlearning are necessary to support work-process-related learning. To handle the limitations of microlearning, we develop a 360-degree learning system to demonstrate a realistic work environment and overcome the lack of design knowledge supporting the motivation and performance of employees using such systems. Based on a systematic literature review and semistructured interviews, we have developed design requirements for interactive 360-degree learning environments. We used a workshop-based mixed-method approach with interviews, concept maps, and video analysis to evaluate the motivation and performance of precision mechanics within a prototypical work-process-oriented learning environment in an intercompany vocational training center. The results show a positive effect on learning outcomes and motivation. In addition, the ease of use and sense of presence while using the learning environment are rated as high. We contribute to theory by shedding new light on learners' motivation and performance within work-process-oriented interactive 360-degree learning environments. Furthermore, we offer guidelines for developing interactive 360-degree learning environments against the background of the current metaverse discussion.

Teaching descriptive texts at the junior high school level, particularly in Grade 7, often encounters challenges in creating an interactive and inclusive learning environment, especially for students with special needs. This study aims to explore and analyze effective interactive learning strategies for teaching descriptive texts, with a particular focus on technology integration, adaptations for special needs students, and comprehensive evaluation methods. Using a literature review approach, this article examines recent sources from educational journals, textbooks, and scholarly publications in the fields of Indonesian language instruction, educational technology, and inclusive education. The discussion addresses fundamental concepts of descriptive texts, interactive learning strategies such as the use of visual and audio media, group activities, language games, and the integration of technology into the learning process. The findings indicate that interactive learning approaches which incorporate technology and address students’ diverse needs significantly enhance descriptive writing skills, creativity, and student engagement. In conclusion, implementing interactive learning strategies in teaching descriptive texts not only improves students' academic abilities but also fosters critical thinking and social skills, ultimately creating a more inclusive and meaningful learning experience for all students.