scholarly journals Simulation Research on the Optimization of Servo System Based on Hybrid Fuzzy Control Algorithm

2017 ◽  
Author(s):  
Shang JIANG ◽  
Fu-qing TIAN ◽  
Pei-xin YU
Keyword(s):  
Fuzzy Control ◽  
Control Algorithm ◽  
Servo System ◽  
Simulation Research ◽  
Fuzzy Control Algorithm

Simulation Research on the Control Performance of CVT Starting-Clutch

2012 ◽  
Vol 591-593 ◽  
pp. 1645-1650
Author(s):  
Jin Gang Liu ◽  
Shao Qing Zheng ◽  
Jian Wen Chen ◽  
Shao Yun Li
Keyword(s):  
Fuzzy Control ◽  
Control Algorithm ◽  
Vehicle Model ◽  
Simulation Research ◽  
Change Rate ◽  
Complete Vehicle ◽  
Engine Model ◽  
Resistance Torque ◽  
Startup Process ◽  
Fuzzy Control Algorithm

Aiming at the control problem for starting-clutch of CVT vehicle, the control goals have been analyzed for different stages, for the principle that decrease jerk and friction work, the fuzzy control algorithm have been proposed. The complete vehicle model is modeled combining engine model with clutch dynamic model, clutch hydraulic model, resistance torque model and engagement pressures model. According to the complete vehicle model, different starting simulations are gained by changing the throttle opening and change rate. It can be seen from the simulation results, both the jerk and friction work are restricted within a reasonable range after the fuzzy control algorithm is adopted, which brings relatively smooth startup and enough service life for clutch. The engine has small speed variation during the startup process, which reduces fuel consumption and noise effectively.

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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