Currently, DC motor of automatic doors speed regulating system utilizes PID control which has parameters tuning difficulties, poor stability, and imprecise control. To solve the above existent problem, this paper adopts the control strategy of fuzzy algorithm combining with PID control, introducing method of fuzzy PID control used in DC motor speed regulating system of automatic doors. Through establishing DC motor mathematical model , MATLAB simulation of PID control and fuzzy PID control are compared in this paper, the simulation results show the fuzzy PID control has fast dynamic response, high control precision, small overshoot and the control system is stable, its robustness and adaptability is strong. Control demand of the system can be satisfied and the safety operation of automatic doors can be ensured by fuzzy PID control. Key words-DC motor PID fuzzy control MATLAB simulation. INTRODUCTIONWith the safe, efficient, energy-saving features, automatic doors are widely used in many occasions. DC motor, with the features of wide range of stepless speed regulation, strong overload capacity, fast response speed, good stability, ease of maintenance and so on, applies in various fields [1].Given the advantages of DC motors, the DC motor can be used in driving motor of automatic doors control system.The research shows that PID control has features of simple structure, good stability, high reliability, which meets the DC motor speed regulating system control requirements of automatic doors. The method of PID control was widely adopted to improve the traits of DC motor speed regulating system, which has become an interesting topic for many scholars in recent years. Ding Chong [2], using digital PI control scheme of current and speed double closed loop, achieved DC motor speed regulating. ZHAO Xiu-fen[3] applied the incremental PID control strategies in DC motor speed regulating system, made the control system more accurate .With the Continuous improvement for the requirement of system control , PID control system can not meet the control requirements, and it has exposed its limitations, such as the parameters can not be set online, dead zone is too large, the positioning accuracy is not high. For the nonlinear system and time-varying system, the effect of PID control is inefficient. With the development of control theory, a more advanced control strategies, fuzzy PID, was gradually adopted in the control system. Ding Hai-shan [4] using unknown nonlinear function of the fuzzy tree identification method in off-line identification system, improves the control performance. TAN Guan-zheng[5] proposed a new optimal fuzzy PID controller that has the best control effect to a given object. Because of the complexity of the control algorithm of the methods referred above, the methods are not easy to achieve and implement in project, therefore, this paper establishes the simulation of fuzzy PID control in DC motor speed regulating system, expecting to apply fuzzy PID control in the field of automatic doors to improve the perfor...
Display luminance is one of the most important factors that influence not only display performance but also visual discomfort greatly. To investigate the influence of display luminance and image content on visual discomfort, the haemodynamic response and subjective perception were recorded respectively when participants watched different visual stimuli. Different white levels (WLs) of display and images with different spatial amplitude spectra were adopted as the visual stimuli, and specific dark environment was applied in the study. The results showed that under dark ambient condition, the WL had significant influences on visual discomfort, which varied in images with different spatial amplitude spectra. The findings also indicated that, for visual discomfort measurement, the sensitivity of haemodynamic response was better than subjective evaluation.
The effect of stereoscopic depth on visual fatigue was investigated. We compared visual fatigue parameters induced by watching same 3D movie with different depths presented on Sony BRAVIA LCD 3DTV. The results showed that watching 3D enhanced mode movies resulted in more visual fatigue and discomfort significantly than 3D normal mode movies.
This article presents an overview of the agent-based modeling and simulation approach and its recent developments in transport fields, with the purpose of discovering the advantages and gaps and encouraging more valuable investigations and applications of agent-based models. We clarify the agent-based model from agents, the background of development, and the basic structure applied in transport systems. Then, the agent-based transport modeling toolkits are discussed. The applications of agent-based models in transport systems are reviewed in three time scale models followed by an additional discussion of hybrid modeling approaches. The extensive modeling of the beliefs, desires, learning, and adaptability of individuals and the optimization problems using agent-based models are explored. Besides, we point out some limitations in terms of calibration and validation procedure, agents’ behavior modeling, and computing efficiency. In conclusion, some recommendations are given and suggest potential and insightful directions such as Big Data and Digital Twin for future research.
This study compared the visual fatigue caused by two smartphone displays with different blue light distributions based on a 90‐min video watching task. The results showed that the visual fatigue decreased when using low‐blue light display, reflected by subjective questionnaires, ocular results and electroencephalograph signals. The display with low blue light is recommended for reducing visual fatigue.
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