Automotive Air Conditioning System Fuzzy Control Algorithm

2011 ◽  
Vol 181-182 ◽  
pp. 787-791
Author(s):  
Li Min Hou ◽  
Xing Xing
Keyword(s):  
Fuzzy Control ◽  
Energy Conservation ◽  
Human Body ◽  
Air Conditioning ◽  
Control Algorithm ◽  
Comfort Level ◽  
Automotive Air Conditioning ◽  
Control Principle ◽  
Fuzzy Control Algorithm ◽  
Control Output

The traditional PID algorithm control automotive air conditioning needs urgently to be improved in energy conservation effect and the human body comfort level. Uses the fuzzy control principle, to design fuzzy control algorithm to realize the automotive air conditioning's intelligent control, according to the temperature humidity from the temperature sensor and the humidity sensor , take the human body comfort as the foundation to carry on the fuzzy revision to the temperature in the compartment; According to the difference between the set temperature and the actual temperature, uses fuzzy control principle deduction to control the output; According to the outdoor temperature and the passenger full strength rate carries on the heat load fuzzy revision to the control output; or based on the situation of vehicle door shuts/opens, carries on the revision to the control output. Compares with the PID control, the energy conservation effect is about 15-20%.

Fuzzy Control of an AGV Obstacle Avoidance System in Unknown Environments

2011 ◽  
Vol 63-64 ◽  
pp. 919-923
Author(s):  
Ke Wei Hu ◽  
Wei Yao ◽  
Li Huo Wang ◽  
Wei Zhang
Keyword(s):  
Fuzzy Control ◽  
Obstacle Avoidance ◽  
Control Algorithm ◽  
Fuzzy Controller ◽  
Gravity Method ◽  
Unknown Environment ◽  
Centre Of Gravity ◽  
Unknown Environments ◽  
Fuzzy Control Algorithm ◽  
Control Output

An avoiding obstacle fuzzy controller for AGV is presented in this paper. Multi-sensors are used to detect obstacles information. The fuzzy controller processes the distance of obstacles by using a 3×3 rule table. As to convert the fuzzy output into non-fuzzy value, Centre of Gravity Method (COG) is used to calculate an accurate control output. This fuzzy control algorithm can solve the problem of obstacle avoidance in unknown environment. And the AGV running path is smooth and the changing of speed is moderate.

Study on VAV Temperature Fuzzy Controllers with Self-Tuning Parameters and Variable Universe

2011 ◽  
Vol 383-390 ◽  
pp. 654-660
Author(s):  
Hong Zhou He ◽  
Shao Hui Yang
Keyword(s):  
Fuzzy Control ◽  
Air Conditioning ◽  
Control Algorithm ◽  
Adaptive Fuzzy Control ◽  
Air Conditioning System ◽  
Tuning Parameters ◽  
Variable Universe ◽  
Self Tuning ◽  
Variable Universe Fuzzy Control ◽  
Fuzzy Control Algorithm

VAV air-conditioning system has the characters of nonlinear and non-stationary under the influence of many factors, so it is hard to tune the parameters of the fuzzy control system. According to the structure and operation principle of VAV air-conditioning system, the monitoring system has been developed. The conventional fuzzy control algorithm, temperature self-tuning parameters fuzzy control algorithm and variable universe adaptive fuzzy control algorithm were researched in the system. The relationship between the scale factors and several main performance indexes of the system's respond curve like overshoot, steady-state error and transient time has been analyzed. The experiments results indicate that the variable universe fuzzy control algorithm can improve the performance of the fuzzy controlle, the combination property index decreases over 17%. The algorithm is feasible to use it on line since it is simple and need few system resources.

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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