Control Algorithm of Interval-Valued Fuzzy Control

2012 ◽  
Vol 562-564 ◽  
pp. 2111-2115
Author(s):  
Wen Yi Zeng ◽  
Qian Yin

In this paper, we use the similarity measure of interval-valued fuzzy sets to investigate approximate reasoning of interval-valued fuzzy sets, propose the mathematical model of interval-valued fuzzy control, and investigate its control algorithm.

2010 ◽  
Vol 426-427 ◽  
pp. 299-302
Author(s):  
Fa Ye Zang

Based on deeply analyzing the working principles and energy-saving theory of loader secondary regulating transmission system, regenerating the transmission system’s inertial energy by controlling constant torque was put forward. Considering large changes of the parameters of the transmission system and its non-linearity, a fuzzy control was adopted to control the transmission system, and the mathematical model of the system was established, then the simulations of the performance of the transmission system has been conducted. The conclusion was made that the inertial energy can be reclaimed and reused in the system by the application of the secondary regulation technology, and braking by controlling constant torque is stable, it can ensure the security of braking at high speed and also permits changing the efficiency of recovery by changing the braking torque. The system’s power has been reduced and energy saving has been achieved.


2020 ◽  
pp. 29-33
Author(s):  
S. V. Kondakov ◽  
O.O. Pavlovskaya ◽  
I.D. Ivanov ◽  
A.R. Ishbulatov

A method for controlling the curvilinear movement of a high-speed tracked vehicle in a skid without loss of stability is proposed. The mathematical model of the vehicle is refined. With the help of simulation modeling, a control algorithm is worked out when driving in a skid. The effectiveness of vehicle steering at high speed outside the skid is shown. Keywords: controlled skid, dynamic stability, steering pole displacement, hydrostatic transmission, automatic system, fuel supply. [email protected]


2014 ◽  
Vol 599-601 ◽  
pp. 673-679
Author(s):  
Shi Guo Chen ◽  
Li Hua Hu ◽  
Dong Sheng Wu ◽  
Xue Yong Chen

The soil’s temperature plays an important role of soil ecology research. In order to gain and control soil’ temperature. A control system is proposed for soil’s temperature. And a new control algorithm which is based on the PID algorithm is designed in the control system to handle the complex change of the soil’s temperature. It does not need to know the mathematical model of soil’s temperature. At last, the control result is analyzed in this paper. The result shows that the soil’s temperature is controlled ideal by this control system which is accurate to 0.5°C.


2018 ◽  
Vol 211 ◽  
pp. 02013
Author(s):  
Mikhail Shavin

Unmanned aerial vehicle (UAV) with four tilt-motors is considered. The quadrotor includes four servomotors, which allow tilting the motors responsible for the thrust force. Additional control input signals enhance the UAVs maneuverability and forward flight speed in comparison with analogous classically designed UAVs. We develop a mathematical model of the tilt-motor quadrotor dynamics, which takes into account all principal forces and torques. On the basis of the mathematical model we design the control loop for a tiltmotor quadrotor. The implemented control algorithm not only allows to independently control position and attitude of the UAV, but also takes into account non-linear actuators constraints. Sensor signals, upon which the closed controlloop relies, are processed with the aid of Extended Kalman Filter. We demonstrate the performance of the model and the control-loop by simulating UAV’s passing an obstacle course. Our numerical experiments are also instrumental in identifying the key parameters of principal parts of the construction.


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