فهرست مطالب

Journal of Majlesi Journal of Mechatronic Systems
Volume:5 Issue: 4, Dec 2016

  • تاریخ انتشار: 1395/10/11
  • تعداد عناوین: 6
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  • Maryam Ashoori Page 1
    Threating nature of risk for business processes causes organization manager does risk management on business processes for improve organizational performance. Process discovery algorithms typically aim at discovering process models from event logs that best describe the recorded behavior. This paper used process mining techniques for risk management of business processes. Cross-sectional method was applied in the present study through census. The population included the data extracted from Dey Co. In this study XESame12 and Prom 6.2 has been used for modeling and Alpha, Heuristic and Genetic algorithms were executed. Heuristic algorithm has maximum overall on quality dimension and it selects as the best model. Mining the business process causes corporation managers find failure processes rapidly and try to reverse engineering or improve them. This causes the agility and market share of corporation increases
    Keywords: Process Mining, Risk Identification, Heuristic Algorithm, Business Processes
  • Maryam Ashoori Page 6
    Business is a main concern of human as selecting the suitable technologies on business model can cause its success or failures. Game theory is the new technology for sharing and keeping the knowledge that can use in business engineering approach. Also semantic web is a new generation of web that can provide a more productive and intuitive user experience. We intend using game theory in information systems layer and semantic in process layer of business model to extract tacit knowledge and share it.
    Keywords: Business Engineering Approach, Framework, Game Theory, Semantic Web
  • Mohammad Mahdi Azimi Page 9
    Some stochastic process can be studied as linear process. In this case, conventional linear control method cannot be used directly. Thus it is important to propose methods that are compatible with these systems. In this paper, $H\infty$ filtering and controller proposed for robust control of linear stochastic systems. In the following, proposed method applied to mathematical model of twin rotor multi inputs-multi outputs system. The investigation of results show good noise and disturbance attenuation, robustness and closed loop stability. Also estimation error improved approximately from 30 to 50 percentages in comparison with other conventional methods.
    Keywords: Controller, Disturbance, Noise, Robustness, Stochastic systems
  • Omid Ghahraei Page 17
    Hydraulic actuators are prevalence to their admirable mechanical characteristics such as ability to impose large forces quickly and there for are dramatically required at industrial applications. At the 20th century, the servo hydraulic valves were invented in order to supply more sophisticated motions but still more precise and less powered electrical actuators are preferred at more accurate manipulations because of the hydraulic systems which are not enough punctual. The main reason for this is the lack of required control performance at usual traditional analogue proportional integral derivative (PID) control strategies implemented at hydraulic actuators. In this study, a new discrete domain pole placement strategy is suggested to cover more elaborated applications.
    Keywords: Digital Pole Placement, Electrohydraulic Servo Valve, Permanent Magnet Torque Motor (PMTM)
  • Reza Shiri, Saeed Rafee Nekoo Page 21
    Facing parameter uncertainty is inevitable in control systems. Sliding mode control (SMC) is robust to uncertainty. To lead the system’s states towards a sliding surface and keep them there, the control input is required and it must include an additional discontinuous part. This part has a gain where its magnitude defines as the rate of this action. Setting the gain more than enough produces undesirable effects such as extra pressure and chattering on actuators. Hence, computing the precise gain is essential based on the sliding condition. In this paper, a general approach was introduced to specify adaptive gains of the SMC, regarding the sliding condition for multi-input multi-output (MIMO) systems. Adaptation of control gains, results in control effort reduction and weakening of the chattering phenomenon. To minimize the chattering even more, inverse tangent was used instead of sign function in control law and the structure of adaptive gain with this change is presented. The proposed formulation was applied on a planar arm and 6R robot to show precision and control effort reduction of the adaptive gain of the sliding mode controller. A comparison between the proposed method and conventional SMC was carried out to confirm the statement; and at the end, the proposed method is conducted on 6R robot experimentally.
    Keywords: Gain adaptation, SMC, Robotics, Manipulators, Nonlinear control
  • Alireza Rezaee Page 41
    In this paper, we will try to introduce and examine a system for helping and giving advice to the human coach on how to put team players in the first combination. In this system, we have tried to let players find their positions in the three common combinations in the soccer world using limited and local interactions among them. Finally, we propose the optimum combination by evaluating maximum team ability in these combinations.
    Keywords: Recommender Systems, Swarm Intelligence, Fuzzy Inference System, Soccer