Forthcoming articles

International Journal of Engineering Systems Modelling and Simulation

International Journal of Engineering Systems Modelling and Simulation (IJESMS)

These articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Engineering Systems Modelling and Simulation (4 papers in press)

Regular Issues

  • Detection of Spindle Thermal State Accuracy of Vertical CNC Machine Tool   Order a copy of this article
    by Jianchen Wang, Xiaolei Deng 
    Abstract: In order to test the thermal accuracy of spindle system of mining vertical CNC machine tools, to enhance the error compensation ability of the system accuracy detection model and improve the machine tool processing accuracy, a test platform for thermal accuracy of spindle system was constructed. Five-point method was used to test the thermal accuracy of spindle system, and thermocouple and infrared thermal imager were used to measure the spindle system. Temperature change data at key points of temperature rise are used to identify temperature sensitive measurement points by grey comprehensive correlation analysis method. A thermal accuracy prediction model based on Cooperative quantum particle algorithm is constructed. The prediction effect of the model is evaluated. The experimental results show that the thermal accuracy detection model has high detection accuracy.
    Keywords: Vertical CNC Machine Tools; Spindle System; Detection of Thermal State Accuracy; Model.

  • Experimental evaluation of new navigator of mobile robot using Fuzzy Q-learning   Order a copy of this article
    Abstract: In this paper, we propose an approach of fusing the fuzzy control actions of the obstacle avoidance and goal-seeking which utilizes fuzzy logic and reinforcement learning for navigation of a mobile robot in unknown environments. The proposed reactive navigator consists of three modules: move to goal, obstacle avoidance, and fuzzy behavior supervisor. The selection of the actions available in each fuzzy rule is learned through reinforcement learning (Q-learning algorithm). A new and powerful method is used to construct automatically these rules. The experiments carried out on the Pioneer 2P mobile robot have shown that the navigator is able to perform a successful navigation task in various unknown environments with smooth action and exceptionally good robustness.
    Keywords: Fuzzy Q-learning; Fuzzy inference system; Fusing behaviors; Mobile robot; Pioneer 2P; Unknown environment; Temporal difference.

  • Networked Multi Pipeline Pressure Synchronous Coordinated Predictive Control based on the Model Free Adaptive Method   Order a copy of this article
    by You Wu, Guoping Liu 
    Abstract: In order to achieve the rapid and accurate synchronous coordination of multi pipeline pressure systems using networked control system theory, an adjacent cross-coupling structure is adopted to improve the synchronisation performance. Considering the possible limitations of network communication, a networked predictive control algorithm based on model free adaptive control is proposed to compensate the delay caused by network. The above two strategies are combined to form the networked multi pipeline pressure synchronous coordination predictive control systems. The simulation experiments of synchronous coordinated control of three pipeline pressure systems are carried out on Simulink platform. The simulation results show that the proposed control scheme can compensate the network delay, and improve the dynamic and synchronous performance. The effectiveness of the control scheme is verified.
    Keywords: networked control system; NCS; pressure control; model free adaptive control; MFAC; synchronous coordination; data-based predictive control.
    DOI: 10.1504/IJESMS.2019.10021470
  • Dynamical and Steady State Performance Analysis of DC Series Motor and Induction Motor Powered by an autonomous PV Generator Using MPPT   Order a copy of this article
    by Mohammed Abuashour, Tha’er O. Sweidan 
    Abstract: This paper presents the dynamical and steady state analysis of DC Series motor and Induction Motor fed by photovoltaic generator at different solar irradiance levels. The maximum power point of current/voltage (I/V) characteristic of the PV generator is achieved for different solar intensities, by utilizing an open voltage method. The nonlinear operational behavior of (I/V) characteristics of the PV generator at various solar intensities and the magnetization curve of the ferromagnetic material of the DC Series motor are modeled by high order polynomial mathematical expressions. The dynamical and steady state analysis of the DC Series motor and Induction Motor fed by PV generator at different solar intensity has been tested and investigated; also the dynamical and steady state analysis of DC Series motor and Induction Motor is also farther investigated and studied as a step change in solar intensity levels with fixed loads torque for both motors. All numerical simulations are executed using MATLAB software.
    Keywords: Induction Motor; DC Series Motor; MPPT; PV Generator; Dynamical Analysis; Steady state Analysis.