Modeling System Design Research Articles

Smart System Modeling and Simulation design of Hemodialysis Machine by SysML with SystemC-AMS

The corrections of the large and complex systems have become an issue of great importance recently due to the system development process. The device technology is quite complex and encompasses various disciplines of engineering, medicine, biology, and critical patient-machine interfaces. In this paper, we proposed a simulation approach to the verification and validation of the system of the hemodialysis machine (HD machine) specified by the SysML language. The simulation is carried out through intelligent translation based on the specifications of SysML into SystemC-AMS models. To evaluate and validate the system design, they are translated into a set of formulas and requirements verified when run on the available tools, COSE DA technologies, the WSN simulator developed by SystemC-AMS.

Frequency Coupling Suppression Control Strategy for Single-Phase Grid-Tied Inverters in Weak Grid

In single-phase voltage source inverters (VSI) under a weak grid, the frequency coupling, caused by the asymmetrical system structure, poses a challenge to system modeling and controller design. In this article, a frequency coupling suppression control strategy is presented, where all the frequency coupling components in the current reference are eliminated. As a result, the single-phase grid-tied inverter is directly modeled as a simple single-input single-output (SISO) admittance rather than a complicated multiple-input multiple-output (MIMO) admittance matrix. The SISO admittance model is simple, compact, and accurate, which facilitates design-oriented analysis. The admittance characteristic analysis shows that the Sym-PLL has a critical impact on the system stability under weak grid conditions. To improve the system stability, a prefilter-based impedance-shaping control strategy is proposed by mitigating the negative resistor behavior of the Sym-PLL. Finally, simulations and experimental results validate the effectiveness of the frequency-coupling suppression control strategy.

Design of traceability system models for potato chips agro-industry based on fuzzy system approach

Identification of recorded information is the most important requirement for developing an effective traceability system. This paper aimed to develop an information technology (IT)-based traceability system combined with an intelligent system in potato chips agro-industry. In this paper, we present a business process in potato chips agro-industry which consists of three activities, i.e. raw materials receiving, processing, and warehousing of final products. First of all, a traceability system architecture was developed. To develop computational models, quality, food safety and environment criteria using fuzzy inference system (FIS) and adaptive neuro fuzzy inference system (ANFIS), and intelligent decision support system (IDSS) traceability model using android front end. An internal information capture point was identified for each step and corresponding traceability information to be recorded was determined. Furthermore, a prototype IDSS was developed to represent method of information modeling on products, processes, quality, and transformation at each node in potato chips agro-industry. In this study, intelligent systems have been developed for decision making in quality control good agricultural practices.

An Adaptive Robust Impedance Control Considering Energy-Saving of Hydraulic Excavator Boom and Stick Systems

In this article, taking the hydraulic system of mining hydraulic excavator boom and stick as the plant, an adaptive robust impedance controller based on an extended state observer and backstepping method is designed. The energy-saving operation and position tracking performance are considered in system modeling and control law design. The system effects on electro-hydraulic proportional valves with open centers and flow regeneration valves (FRVs) are considered. When hydraulic cylinders are extended, the proposed control strategy adopts a pump-controlled pressure closed-loop to shorten the dead time. When hydraulic cylinders are retracted, less oil is output to meet the idle demand. The valve-controlled position subsystem with impedance mode ensures smoother digging processes. Comparative simulations show that the proposed control strategy has better position tracking and smaller velocity fluctuations. Compared with the system without FRVs, the proposed system can reduce energy consumption by 27.32%.

System Modeling and Stability Analysis of Single-Phase Transformerless UPQC Integrated Input Grid Voltage Regulation

This article extends the conventional features of a transformerless unified power quality conditioner (TL-UPQC). An enhanced control methodology is presented to allow exchanging reactive power between the system and the grid to provide input grid voltage regulation. Therefore, both load side and input grid-side voltages are regulated with one converter. In this regard, a phase angle is created between the input current and the input voltage. Thereby, the system behavior as a capacitive or an inductive reactance is controlled. An additional ac voltage control loop has been designed. The inner current loop has been reformed to receive reference information from two outer voltage loops. The enhanced control strategy takes action based on local information collected by the TL-UPQC with no requirements of additional sensor circuits. Since the conventional functions of the TL-UPQC system have been extended, aspects related to system modeling and control design should be developed. The small-signal model that characterizes the dynamics of the power stage and the controller are presented. Design guidelines considering grid impedance to achieve a desired performance are developed. A 500 VA / 120 V, 60 Hz prototype has been built to verify the models and the overall system performance. Steady-state and transient experimental results are presented and discussed.

Analysis of the Application Prospect of Computer Image Processing Technology in UI Design

In order to improve the interface experience effect of the mobile terminal software, this paper improves the UI design by combining computer image processing technology and improves the diffusion algorithm for images by improving the diffusion model, improving the diffusion coefficient and adaptively selecting the diffusion threshold. Moreover, this paper has carried out deep research on coordinate transformation and image interpolation and stored the result of coordinate transformation in the coordinate transformation table and weight table. In addition, this paper proposes an improved digital scan conversion method based on a lookup table and constructs an improved UI design system model. Through the analysis of experimental data, it can be seen that the application effect of computer image processing technology in UI design is very good, and it can effectively promote the improvement of UI design technology.

Electrochemical Seismic Design and Artificial Intelligence System Modeling of High-Rise Steel Structure Buildings

This study aims to improve the mechanical earthquake-resistance ability of high-rise buildings’ steel structures so that their safety performance is improved and their service life is prolonged. The simulation experiments on the response of the staggered truss steel structure are conducted in high-rise buildings to earthquake energy waves. First, MATLAB is used to build an experimental platform for earthquake-resistance evaluation of high-rise residential buildings. Through the high-rise building model training, it is found that the model meets the needs of the study. Second, the earthquake-resistance performance parameters, deformation recovery capacity, and dynamic response speed of the staggered truss steel structure are simulated and tested. After earthquake energy waves with different intensities are posed on the high-rise building model, the performance parameters of the staggered truss structure are tested, and the changes in the parameters of the structure are analyzed. Finally, the earthquake-resistance performance and post-earthquake recovery ability of the staggered truss structure are tested through comparative analysis. The results show that the interlayer displacement fluctuation of the staggered truss steel structure is the smallest, and the earthquake resistance performance is better than others under the energy waves of all kinds of earthquakes. Although its earthquake-resistance ability decreases with the duration of earthquakes, the reduction speed is slow. When the quake lasts 12 s, the resistance of the staggered truss structure is still greater than 2500 MPa. This study provides a reference for the staggered truss structure of high-rise buildings.

Realization of Music-Assisted Interactive Teaching System Based on Virtual Reality Technology.

Virtual reality technology has attracted researchers' attention because it can provide users with a virtual interactive learning environment. Based on the theory of virtual reality technology, this paper proposes the system model design and architecture of virtual interactive music-assisted interactive teaching and realizes key technologies such as modeling, music-assisted interactive teaching scene interaction, and database access. In the simulation process, based on the VRML/X3D bottom interactive system template, after comprehensive application research, comparative analysis of various modeling methods, the system verified the use of digital cameras combined with the modeling technology based on music elements to collaboratively establish VRML virtual model connections. For inline node function, we combined it with Outline3D to realize VRML integration and then use VizX3D, X3D-Edit to build X3D model and realize the conversion from VRML to X3D, which solves the system completeness problem of music-assisted interactive teaching. The experimental results show that, according to the statistical analysis of the data after the experiment, when the position changes in the virtual 3D music-assisted interactive teaching scene, it will be displayed in the plane layer, and the real-time coordinates of the virtual music-assisted interactive teaching scene displayed in HTML have case. By analyzing the scenes and dynamic effects in the works, the effects of the virtual world can be better displayed through the performance of details. The better accuracy and delay error reached 89.7% and 3.11%, respectively, which effectively improved the effect and feasibility of applying virtual reality technology to music-assisted interactive teaching.

Vegetation Mapping Information System Model Design Of Tambakrejo Village, Jombang District, Jombang Regency

The need for vegetation mapping is very necessary at this time because it can make it easier for users to find out the types of plants that exist in each village and their coordinates. In Jombang Regency, there is no system that implements this vegetation mapping system. This research designs the development of web and mobile-based information systems. The tools used for modeling this system are Flowcharts, Entity Relationship Diagrams, Data Flow Diagrams. The software used is Adobe XD to create system designs and MySql as a programming language. From the design of the system that will be made, it will produce a web of geographic information system for mapping vegetation in Jombang Regency.

Design of the five layers large-scale low-orbit communication constellation TT&C system

The large-scale low-orbit constellation TT&C (Telemetry Tracking and Command) requirements are analyzed, and the principles of scalability, low coupling and robustness for the construction of large-scale low-orbit constellation TT&C system are proposed. The five-layer TT&C system framework based on service-oriented and container cloud technology is designed. The resource load balancing and configurability of services of the large-scale constellation TT&C system is realized. The TT&C system model design for the large-scale low-orbit constellation is completed.

Framework for Dynamic Modelling of the Dam and Reservoir System Reduced Functionality in Adverse Operating Conditions

Dam and reservoir systems (DRSs) are crucial aspects of the infrastructure necessary for reliable water resource management. Nowadays, DRSs are being increasingly affected by numerous natural and anthropogenic impacts (aging and outdated infrastructure, climate change, natural hazards, global crises, etc.). Hence, additional pressure on DRS management is being applied as DRSs must be operated in adverse operating conditions, outside of their design envelopes. Since there is no practical way to redesign DRSs to meet all possible adverse conditions, efficient simulation tools are necessary for various “what-if” analyses. A system dynamics (SD) approach can be used, as it has shown the capacity to comprehend the intrinsic system complexity. In this paper, an 11-step framework for the dynamic modelling of reduced functionality in a DRS and the emulation of the system operation in adverse conditions is proposed. The framework covers the system model design, input scenario generation, system simulation, and performance evaluation steps. A focus is placed on the steps related to system decomposition, the identification of failure-indicative parameters, the definition and implementation of failure functions in the subsystem dynamic models, and dynamic failure modelling. Through these steps, a novel procedure is proposed for the dynamic modelling of the DRS subsystems’ failures (reduced functionality), common in the operation of DRSs under adverse conditions. For each subsystem prone to failure, failure-indicative parameters are identified. Failure functions employing generic functionality indicators, with values spanning from 0 to 1, are suggested to modify the values of the failure-indicative parameters in simulations and emulate the component failure impacts on DRS operation. Possibilities for modelling failure modes for different subsystems, varying in nature, duration, and magnitude are discussed. Potential physical damage to the system components, increases in measurement uncertainty, and the lack of the spare parts during periods of global crisis are applied as disturbances to the Pirot DRS case study to illustrate the possibilities of the suggested framework’s application for DRS failure modelling. It was concluded that the proposed framework allowed for the detection of severe impacts on system performance, emphasizing the need for DRS dynamic failure modelling in system analysis.

Rancang Bangun Sistem Informasi Tracking Sales dengan Integrasi Kartu Radio Frequency Identification

CV. Multi Banyu Satwa is a distributor of livestock medicines and vitamins where the company sells its products to shops that sell animal needs, especially livestock. In marketing its products, this company uses a canvasing sales system where the salesperson sells for several days by directly bringing the product and will return when the goods brought have started to run out. So that there can be a risk of losing the product if the salesperson is not honest, besides that the company owner does not know the presence of the sales directly. In this regard, the purpose of this research is to build a sales canvasser tracking information system with the integration of Radio Frequency Identification (RFID) cards. The method used in building this information system uses waterfall and needs analysis using PIECES, while the system modeling design uses Unified Modeling Language (UML). This information system is web-based and there are 3 access rights, namely owner, admin, salesman. Based on the test results from testing the sales canvasser tracking information system with the integration of this RFID card using the black-box method, it can be seen that this information system can run well. Meanwhile, from the results of user testing using a questionnaire, the results showed a percentage score of 55% Agree and 45% Strongly Agree.Keywords : Information System, Tracking, Sales, RFID

Remote Plasma Source Chamber Modeling and Generator Design

This paper presents modeling of the plasma load in vacuum chamber of a remote plasma source (RPS) and its generator is designed and implemented correspondingly. Traditionally, equivalent plasma load modeling usually acquired parameters measured by Langmuir probe which is hard to conduct and is basically intrusive. A simple method to model the plasma load into frequency and flow rate related equivalent RLC load without special device is proposed in this study. And two different resonant inverters which are operated around 400 kHz as an igniter and a sustainer of the plasma source generator are designed based on the equivalent load. The igniter generates high voltage 5 kV with argon gas as a trigger to start the plasma progress and the sustainer provides a maximum power of 2.5 kVA to keep plasma generating with nitrogen gas. To avoid interruption of plasma generation under gas flow rate varying from 100 to 600 sccm, a simple PI control with frequency modulation on the sustainer to regulate its output current is adopted. Both system design and equivalent load modeling are verified with simulated and experimental results in the paper.

Discrete Event Modeling and Simulation for Reinforcement Learning System Design

Discrete event modeling and simulation and reinforcement learning are two frameworks suited for cyberphysical system design, which, when combined, can give powerful tools for system optimization or decision making process for example. This paper describes how discrete event modeling and simulation could be integrated into reinforcement learning concepts and tools in order to assist in the realization of reinforcement learning systems, more specially considering the temporal, hierarchical, and multi-agent aspects. An overview of these different improvements are given based on the implementation of the Q-Learning reinforcement learning algorithm in the framework of the Discrete Event system Specification (DEVS) and System Entity Structure (SES) formalisms.

System model driven selection of robust tablet manufacturing processes based on drug loading and formulation physical attributes

Mechanistic process modeling presents an opportunity to reduce experimental burden, enabling relationships between process parameters and product attributes to be mapped out using in-silico experiments. A system model of a pharmaceutical tablet manufacturing process comparing dry granulation with direct compression is developed to answer key material and process design questions. The system model links API physical properties and formulation to process parameters to map out the robust operating space. To demonstrate the application of the model, several drug product formulation design questions were considered:•Which processing route is the most robust given the API material properties and dosage requirements?•How does drug loading and tablet size impact the robustness of the manufacturing process?•What process settings are required for a robust manufacturing route for the API material properties and drug loading requirements?A computational framework was developed using the system models to generate process classification and design space maps to aid robust pharmaceutical formulation and process decision making. Process classification maps were produced to assess the feasibility of roller compaction and direct compression for different material properties and formulations. Constraints on the critical quality attributes of the intermediate and final products were defined using the Manufacturing Classification System. Design space maps presented here demonstrate how system models can be used to support formulation and process design. The design space maps illustrate how the process operating space can be increased or decreased as the API mass fraction is varied.The process design and selection system model demonstrate how an understanding of the API physical properties can be used to model the impact of formulation and process design. Furthermore, these models can be instrumental in the dialogue with colleagues developing the API in order to set the requirements of the API physical properties to ensure successful and robust formulation and process designs.

Semiconductor Device Modeling for Circuit and System Design

Semiconductor Device Modeling for Circuit and System Design

Initial-Rectification Barrier Iterative Learning Control for Pneumatic Artificial Muscle Systems With Nonzero Initial Errors and Iteration-Varying Reference Trajectories

Pneumatic artificial muscle actuators possess great potential in compliant rehabilitation devices since they are flexible and lightweight. The inherent high nonlinearities, uncertainties, hysteresis and time-varying characteristics in pneumatic artificial muscle systems brings much challenge for accurate system modeling and controller design. The angle tracking problem based on iterative learning control technology is considered in this work. This research proposes a new initial-rectification adaptive iterative learning control scheme for a pneumatic artificial muscle-actuated device with nonzero initial errors and iteration-varying reference trajectories. A barrier Lyapunov function is used to deal with the constraint requirement. A new initial rectification construction method is given to solve the nonzero initial error problem. Nonparametric uncertainties in the system are approximated by using a neural network, whose optimal weight is estimated by using difference learning method. As the iteration number increases, the system states of angle and angular velocity can accurately track the reference trajectories over the whole interval, respectively. In the end, the simulation results show excellent trajectory tracking performance of the iterative learning controller even if the reference trajectories are non-repetitive over the iteration domain.

Sistem Informasi Audit Penyerapan Anggaran Berbasis Web

Implementation of Government Regulation No. 60 of 2008 concerning the government's internal control system, which requires an evaluation of the implementation of the budget for each business unit in each government agency. This assessment will be carried out by the Internal Control Department (SPI), which in this case concerns the use of the monthly budget by units and universities at UIN Walisongo Semarang. This audit will advise the consultant on the implementation of the relevant unit budget. An online budget audit program needs to be developed to ensure accurate information. This information system helps SPI auditors determine the performance of absorption of the unit and faculty budget. Audit software development by adopting research and development (R&D). The program developed on the web goes through the planning, system analysis, system model, and system design phases. Tools that include context diagrams and flowcharts are used to illustrate the course of a series of operations in this program. Testing the feasibility of the software using the black box method and the result is an information system that is applied to the budget audit implementation at Walisongo Islamic University in Semarang.
 Keywords: Information System, Internal Audit Budget Absorption.

Nonlinear exogeneous system and internal model design

Nonlinear exogeneous system and internal model design

Cooperative Adaptive Cruise Control Using Delay-Based Spacing Policy: A Robust Adaptive Non-Singular Terminal Sliding Mode Approach

This study proposes two speed controllers based on a robust adaptive non-singular terminal sliding mode control approach for the cooperative adaptive cruise control problem in a connected and automated vehicular platoon. The delay-based spacing policy is adopted to guarantee that all vehicles in the platoon track the same target velocity profile at the same position while maintaining a predefined time gap. Factors such as nonlinear vehicle longitudinal dynamics, engine dynamics with time delay, undulating road profiles, parameter uncertainties, and external disturbances are considered in the system modeling and controller design. Different control objectives are assigned to the leading and following vehicles. Then, controllers consisting of a sliding mode controller with parameter adaptive laws based on the ego vehicle’s state deviation and linear coupled state errors, and a Smith predictor for time delay compensation are designed. Both inner stability and strong string stability are guaranteed in the case of nonlinear sliding manifolds. Finally, the effectiveness of the proposed controllers and the benefits of 44.73% shorter stabilization time, 11.20% less speed overshoot, and virtually zero steady-state inner vehicle distance deviation are illustrated in a simulation study of a seven-vehicle platoon cooperative adaptive cruise control and comparison experiments with a coupled sliding mode control approach.