Papers by Keyword: Fuzzy Control

Paper TitlePage

Authors: Liang Chu, Jian Chen, Yan Bo Wang
Abstract: Driver model is the most essential part of intelligent driving system. In Driver-Vehicle- Environment system, a driver is a pre-condition, to correct pedal input and the steering wheel angle position in right time, which makes the vehicle drive in expected path. A new driver model is introduced. Firstly, a real-time algorithm based on dynamic parameters of vehicle body is proposed to estimate body posture in the next step moment. Secondly, vehicle’s posture is compared with the target trajectory to get a deviation quantity. And a correction value for angle at the steering wheel is obtained according to a driver model based on fuzzy gain modulated PID control, which is completed in Simulink workspace. Finally, driver model is verified by two typical driving maneuvers in simulation. And results show that the driver model achieves a good performance and suitability in different applications of Driver-Vehicle-Environment.
422
Authors: Fa Jun Zhang, Wen Jie Fang, Chang Zhou, Zhong Liu
Abstract: This paper is based on using fuzzy control method and according to the size of bearing residual magnetic detective distance and the diameter of bearing ring; it accurately controls the size of demagnetization machine alternating current. The result shows that the fuzzy control method on bearing residual magnetic quality control by simulation can get a rational control effect of the size of demagnetization machine current. It provides a new theoretical method for precisely controlling the residual magnetic bearings quality.
899
Authors: Yu Fang Zhang, Xiao Nian Wang, Ping Jiang, Jin Zhu
Abstract: The purpose of unmanned vehicle lateral control is to track a desired trajectory in a small error, in order to achieve a stable tracking under different pavements and wind resistance conditions. This paper presents a vehicle lateral control scheme based on fuzzy logic control. A simplified vehicle lateral dynamics model is first obtained by linearizing the original 6-DOF vehicle model, and then the lateral control is decomposed into two modules: steering wheel angle control and steering wheel speed control. Fuzzy logic control for the two modules is developed and simulated by using CarSim and Simulink. The results demonstrate that the fuzzy controller can achieve a high tracking accuracy with a good dynamic performance.
250
Authors: Feng Cui, Yu Kai Gao, Chuan Ying Wang
Abstract: The linear model state equation of single-machine infinity bus power system with SVC was gotten by feedback linearization technology. The SVC fuzzy sliding mode controller was designed for this model. In order to adjust the controller outputs, the value and its derivative of sliding mode switching function were chosen for fuzzy controller inputs. The simulation shows that the SVC controller effectively improves the quality of power response, and settles power oscillations quickly when a disturbance occurs.
2512
Authors: Jian Guo Mao, Hui Yu Zhang, Guang Min Lu, Jian Kang Xu
Abstract: This template explains a design of a fuzzy temperature control system for the pressure-sensitive paint. According to the relationship between temperature difference and the current of semiconductor chip, the fuzzy system control theory, control the volume of the domain, control rules design, and design a constant current source circuit to control the current through the chip, and finally make experimental verification of the system. The system hardware uses C8051F040 MCU, temperature chip DS18B20, keyboard chip CH451.
129
Authors: Pratumsuwan Pornjit, Junchangpood Aphaiwong
Abstract: Generally, the electro-hydraulic system (EHS) has force and position controls. The control of these parameters to the desired value multiple PID controllers are often used, which are sensitive to changes in system parameters. In addition, the existing EHS is often used as a single proportional direction control valve (PDCV) to control those parameters that cause loss and waste energy. Therefore, in this paper, a fuzzy controller is proposed to control force and position. Simultaneously, the EHS that is used for control will be added the inverter to adjust the speed of the electric motor (EM) to drive a fixed displacement gear pump, and a proportional pressure relief valve (PPRV), in order to save energy. A proposed fuzzy controller and the EHS are implemented to the hydraulic press. The experimental results showed that the hybrid of force and position control by using a fuzzy controller has a superior performance compared to the multiple PID controllers. Moreover, the proposed EHS is also more effective in saving power consumption than conventional EHS.
557
Authors: Dong Xiang Shao, Guang Lin Wang, T.Z. Cui, H.C. Zhu
Abstract: This paper introduces a method of auto focusing based on fuzzy-control. Using this method, we design the scheme of optimization for focus. Variance function is used as approximately evaluate function for a large-scale in this system, and Square-gradient function is used as precise evaluate function in certain scale. Fuzzy-control is adopted the control of optimization for focus. The experiment testified that auto-focusing in this system is so accurate that accord with the required precision, and the image of collecting is clear. The machine of auto-focusing is simple, and the control of whole system is easy to implement.
493
Authors: Lve Huang, Hua Biao Yan, Lu Min Tan
Abstract: The Surendra background update and novel fast model matching were mixed which can reduce the matching region. A Yuntai tracking system was present for people tracking, the fuzzy control tracking based on polar coordinates was also present, which makes the tracking of people object always in the video range and the Yuntai neednt move frequency. Results indicate that the algorithm is superior to the previously published variants of the model matching and the Yuntai system track people in real time.
547
Authors: Ji Yong Li, Ren Xi Gong, Zhao He Feng
Abstract: The power available at the output of photovoltaic (PV) cells keeps changing with solar irradiation and ambient temperature because PV cells exhibit a nonlinear current-voltage characteristic. In order to gain maximum power in PV power system, a novel MPPT method combining CVT and fuzzy control was proposed in this paper. The principle of the novel MPPT method was given and the verified experiment was performed at the same time. Experiment results show that the novel MPPT intelligent multiple method have the fast tracking ability in changing weather and more tracking accuracy in stable condition simultaneously.
246
Authors: Ji Yong Li, Ren Xi Gong
Abstract: The power available at the output of photovoltaic (PV) cells keeps changing with solar irradiation and ambient temperature because PV cells exhibit a nonlinear current-voltage characteristic. In order to gain maximum power in PV power system, a novel MPPT method combining CVT and fuzzy control was proposed in this paper. The principle of the novel MPPT method was given and the verified experiment was performed at the same time. Experiment results show that the novel MPPT method have the fast tracking ability in changing weather and more tracking accuracy in stable condition simultaneously.
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