Papers by Keyword: Fuzzy Control

Abstract: In light of the difficulty for the multi-variable fuzzy controller to formulate a sophisticated set of rules concerning multi-dimensional controlling, this project proposes a parallel connection fuzzy PID controller, each PID employing two fuzzy controllers to carry out parameter tuning. This project applies the parallel connection PID fuzzy controller in controlling the jacking system of the multi-hydraulic cylinders. Through the AMESim/Simulink connector, joint simulation is achieved for the hydraulic system and the controlling system. The result of the simulation reveals that this application effectively improves the dynamic and static performance of the system, as well as synchronization precision in the jacking of the hydraulic cylinders.

Abstract: The semi-active control of MR damper is established, using a simplified model of landing gear system and DSP2812 as the code control board. The fuzzy control system is created based on software fuzzyTECH and simulation mode was established in matlab\simulink. Compared with passive control, the fuzzy control damping effect of the aircraft body vertical acceleration, body relative displacement and wheel dynamic load at different moments in the process of plane's taking off and landing. Software fuzzyTECH platform can generate the corresponding code for the DSP controller, applied directly to the fuzzy control system design and debugging, and shorten the development cycle of fuzzy algorithm control. Passive control and fuzzy control test are carried out on the landing gear vibration test platform. The results show that the application of fuzzy algorithm controller has higher adaptability and more real-time control effect, fuzzy control is better than passive control.

Abstract: To solve the presence of the phantom phenomenon when single ultrasonic sensor detects obstacles, this paper proposes a multi-ultrasonic sensors design using grouping cycle emission. Using the fuzzy control algorithm in the obstacle avoidance simulation, the quadrotorflies through an unknown environment. The simulation results show that the algorithm can meet the requirements of the quadrotor obstacle avoidance , and have the characteristics of real-time and accuracy , provide the foundation for further practical application.

Abstract: This study uses a wheeled mobile robot (WMR) to explore unknown indoor environment and build up a map of the unknown environment. The robot utilizes laser measurement sensor with a indoor localization system to detect obstacles and identify unknown environment. The localization system provides the position of the robot and is used for map comparison. Fuzzy theory is applied to controller design. The proposed control scheme can control the wheeled mobile robot move along walls and avoid obstacles. The Iterative Closest Point (ICP) and the KD-tree are utilized. With sensed data of obstructions and walls, a map of unknown environment can be generated by curve fitting methods.

Abstract: A water-saving irrigation monitoring system was designed based on ZigBee wireless sensor network and LabView simulation platform. This system can solve the problems of unnecessary waste caused by the traditional artificial irrigation water and wiring complex of water-saving control system. The information of each node and data acquisition can be detected by the ZigBee wireless network monitoring system. Upper machine was designed by LabView virtual design platform, and all aspects of organic characteristics of the crop water requirement rule were combined through the fuzzy control decision support system. The date of the irrigation water would be directed, and achieved a fine management of water and scientific irrigation.

Abstract: With the wide application of electric vehicles, the battery fast charging has become a subject of research. In this paper, how to quickly charge the battery and prolong the life of the battery are described. By analyzing all kinds of storage battery charging method, I have summarized a fast charging technology based on fuzzy control, this method can quickly charge the batteries, and can prolong the life of the battery.

Abstract: In traditional control field, the control system dynamic model is accurate or not affecting the merits of the main control key, the more detailed dynamic information system, the more it can achieve precise control. However, for complex systems, because too many variables are often difficult to accurately describe the dynamic system, so engineers will use a variety of methods to simplify the system dynamics, in order to achieve the purpose of control, but not ideal. Fuzzy control is essentially a nonlinear control, intelligent control of subordinate category. The design, select AT89S51 microcontroller as controller design an intelligent heat faster. The intelligent heater temperature can be maintained within a set temperature range, so that the water temperature to fluctuate within a range set value and set value down to 0.5 degrees Celsius. Temperature sensor detects a temperature every second. Temperature can be displayed to one decimal place. Temperature detected by real-time digital display. Fuzzy Control of a major feature of both systematic theory, there are a lot of practical application background. Development of fuzzy control has been rapid and widespread application. Nearly 20 years, both in theory and fuzzy control technology has made ​​great strides to become a very active field of automatic control but fruitful branch. Typical applications involve many aspects of their production and life, for example, fuzzy washing machines, air conditioners and other aspects.

Abstract: This paper presents a modular designed autonomous bolt tightening shaft (BTS) system and an adaptive fuzzy backstepping control is designed for such a system. The BTS system is designed for the autonomous bolt tightening operation, which has a wide potential industry application. Due to its inherent nonlinear and uncertain properties, the BTS system is mathematically modeled as an uncertain strict feedback system. By employing adaptive backstepping and the approximation property of fuzzy logic system, the controller is designed step by step. Based on the Lyapunov stability theorem, all signals in the closed-loop system are proved to be bounded and tracking error converge to zero. Simulation results on the BTS system are provided to validate the effectiveness and performance of proposed autonomous system.

Abstract: Based on the requirement of reactive power compensation of the intelligent power grid, a new type of capacitor switch design is presented. Starting from the characteristics of switching devices, research on the working timing between impulse switch and thermistor, build the controller hardware system based on ARM core, implement of power system parameters’ collection, capacitor switching control and human-computer interaction, etc. The embedded LINUX operating system is proposed for a better solution to multi-task, real-time and upgrade requirements in power intelligent control. At the same time, switching algorithm based on fuzzy control theory is adopted to improve the reliability of this switch.

Abstract: In this paper, fuzzy control was applied in the technology of reducing NOx of vehicle exhaust. The calculation model of control system was obtained through theoretical derivation. The input and the output of the control system were obtained through bench test, and then established the control system table. Fulfilled the hardware installation and debugging of SCR system, DSPACE system, NOx sensor and engine system, and then the control system look-up table was be written in DSPACE /MATLAB system. It is proved that the application of fuzzy control in vehicle emission reduction is feasible through the processing and analysis of test data.