Design of Demisting System in Vehicle Dome Based on Fuzzy Control Algorithm

2014 ◽  
Vol 635-637 ◽  
pp. 1438-1442
Author(s):  
Peng Han ◽  
Xu Ying Wang
Keyword(s):  
Fuzzy Control ◽  
Temperature Sensor ◽  
Control Algorithm ◽  
Humidity Sensor ◽  
Dew Point ◽  
Single Chip ◽  
Single Chip Microcomputer ◽  
Point Temperature ◽  
Dew Point Temperature ◽  
Fuzzy Control Algorithm

This paper describes one demisting system in vehicle camera. On the basis of fuzzy control algorithm, temperature sensor and humidity sensor were used to sample the temperature and humidity inside the dome's cover, single-chip microcomputer was used to get the dew point temperature and window glass's actual temperature through calculation and adjust the heating power consumption automatically. With these processes, the target of intelligent demisting system finally was achieved. This design is practical in vehicle domes.

Single-Chip Fuzzy Control of Diesel Engine Electronic Speed Governor

2012 ◽  
Vol 490-495 ◽  
pp. 1569-1573
Author(s):  
Tie Yi Zhang ◽  
Zhi Kang Wei ◽  
Xiao Rong Zhou
Keyword(s):  
Diesel Engine ◽  
Fuzzy Control ◽  
Control Algorithm ◽  
Hardware Architecture ◽  
Single Chip ◽  
Single Chip Microcomputer ◽  
Injection Pump ◽  
Speed Governor ◽  
Fuzzy Control Algorithm

One kind of new electronic governor is developed on the foundation of the injection pump matched on the YC2118 diesel engine. A single-chip microcomputer is used for core hardware architecture and fuzzy control algorithm for software. The governor has been manufactured out and the test of its performance has been carried on

Evaluation of Measurement Uncertainty for Polymer Thin Film Humidity Sensor Using CMH and PRT Based on Dew Point Temperature Variation

2017 ◽  
Vol 730 ◽  
pp. 587-594
Author(s):  
Yun Kyung Bae ◽  
Dong Eun Lee ◽  
Dong Hoon Hyun
Keyword(s):  
Thin Film ◽  
Measurement Uncertainty ◽  
Temperature Variation ◽  
Humidity Sensor ◽  
Dew Point ◽  
Evaluation Procedure ◽  
Polymer Thin Film ◽  
Point Temperature ◽  
Dew Point Temperature ◽  
Capacitive Humidity Sensor

The purpose of this paper is to propose appropriate evaluation method of measurement uncertainty with respect to the measurement results of polymer thin film capacitive humidity sensor according to dew point temperature variation. All of the evaluation process concerning the measurement uncertainty of polymer thin film capacitive humidity sensor is based on experiment and numerical analysis. To estimate uncertainty contribution properly for polymer thin film capacitive sensor strongly influenced by measurement environment, the experiments are performed in the reference relative humidity range from 5 % to 30 % at a setting dry bulb temperature of 23°C. Also, the reference standards are chilled mirror hygrometer (CMH) and platinum resistance thermometer (PRT). In particular, the uncertainty sources are considered differently according to the range of below or above 0°C, reference dew point. From the budgets, uncertainty contributions to the standard uncertainty are clearly dominated by the effect of the uncertainty due to super-cooling in case of condition below 0°C, dew point temperature. Also, the contributions for stability and distribution of humidity generator have a mainly effect on the expanded uncertainty of polymeric humidity sensor. It is desired that measurement uncertainties of polymeric humidity sensor are comprised separately on the basis of reference dew point, 0°C. The evaluation procedure of measurement uncertainty is developed in accordance with the principles established in the documents EA-4/02, Expression of the Uncertainty of Measurement in Calibration [1].

Space robot motion path planning based on fuzzy control algorithm

2021 ◽  
pp. 1-8
Author(s):  
Baoyu Shi ◽  
Hongtao Wu
Keyword(s):  
Path Planning ◽  
Fuzzy Control ◽  
Obstacle Avoidance ◽  
Control Algorithm ◽  
Space Robot ◽  
Robot Motion ◽  
Robot Path Planning ◽  
Behavior Based ◽  
Fuzzy Control Algorithm ◽  
Robot Path

Path planning technology is one of the core technologies of intelligent space robot. Combining image recognition technology and artificial intelligence learning algorithm for robot path planning in unknown space environment has become one of the hot research issues. The purpose of this paper is to propose a spatial robot path planning method based on improved fuzzy control, aiming at the shortcomings of path planning in the current industrial space robot motion control process, and based on fuzzy control algorithm. This paper proposes a fuzzy obstacle avoidance method with speed feedback based on the original advantages of the fuzzy algorithm, which improves the obstacle avoidance performance of space robot under continuous obstacles. At the same time, we integrated the improved fuzzy obstacle avoidance strategy into the behavior-based control technology, making the avoidance become an independent behavioral unit. Divide the path planning into a series of relatively independent behaviors such as fuzzy obstacle avoidance, cruise, trend target, and deadlock by the behavior-based method. According to the interaction information between the space robot and the environment, each behavior acquires the dominance of the robot through the competition mechanism, making the robot complete the specific behavior at a certain moment, and finally realize the path planning. Furthermore, to improve the overall fault tolerance of the space, robot we introduced an elegant downgrade strategy, so that the robot can successfully complete the established task in the case of control command deterioration or failure of important information, avoiding the overall performance deterioration effectively. Therefore, through the simulation experiment of the virtual environment platform, MobotSim concluded that the improved algorithm has high efficiency, high security, and the planned path is more in line with the actual situation, and the method proposed in this paper can make the space robot successfully reach the target position and optimize the spatial path, it also has good robustness and effectiveness.

Development of Dedicated Controller for HVAC

2012 ◽  
Vol 430-432 ◽  
pp. 1472-1476
Author(s):  
Jin Ming Yang ◽  
Yi Lin
Keyword(s):  
Fuzzy Control ◽  
Control Algorithm ◽  
Control Strategies ◽  
Control Software ◽  
Interface Circuits ◽  
Pid Algorithm ◽  
Hardware Interface ◽  
Hvac Control ◽  
Fuzzy Control Algorithm

This article describes the development of a dedicated controller for HVAC control, and introduces the hardware interface circuits about some main chip on controller. In addition, the article also explains composition and principle about control software applied to the controller, further more points out that the fuzzy control algorithm is more reasonable than the PID algorithm for most HVAC control and dedicated control strategies play an important role for HVAC control.

Profile Measurement of a Curved Workpiece by the Fuzzy Control of Sensor Positioning

1999 ◽  
Author(s):  
Masatake Shiraishi ◽  
Gongjun Yang
Keyword(s):  
Fuzzy Control ◽  
Control Algorithm ◽  
Experimental Results ◽  
Measuring System ◽  
Displacement Sensor ◽  
Profile Measurement ◽  
Laser Displacement Sensor ◽  
Inclination Angles ◽  
Fuzzy Control Algorithm ◽  
Sensor Positioning

Abstract A laser displacement sensor which has a resolution of 0.5 μm was used to determine the measurement of a curved workpiece profile in turning. This sensor is attached to a specially designed stage and is operated by three motors which are controlled by a fuzzy control algorithm. The experimental results show that the measuring system can be applied to workpieces having inclination angles of up to around 45°. The proposed measuring system has a practical measuring accuracy to within ten micrometers.

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