The Research on Load Balance Controller of Roller Single Roller Drive System Based on Fuzzy PID

Author(s):  
Liang Weizheng ◽  
Zhao Ming ◽  
Zhang Ruicheng ◽  
Shang Ying
1999 ◽  
Vol 121 (12) ◽  
pp. 70-71
Author(s):  
John DeGaspari

This article presents a review on two conveyors at the Ford Motor Co.’s Wayne, MI, assembly plant that use the same technology to meet two very different requirements. One system handles fully dressed, pallet-mounted engines in packages weighing up to 1600 pounds, while the other deals with pallet-mounted instrument panels having a total package weight of 80 pounds. The conveyors, supplied by Bleichert Inc. of Sterling Heights, Mich., use a roller drive mechanism that allows them to adapt to the different application requirements. Ford accomplishes the engine/chassis marriage by lifting completely dressed engines into the vehicle from below. The pallet-mounted engines are transported on a cart, called a moon buggy by Wayne plant personnel. The drive motor can be positioned anywhere along the length of the conveyor. It uses a gear reducer and timing belt to transmit power to the driveshaft. Each of the one-meter-long driveshaft sections is linked to the next one by a coupling to complete the modular drive system.


2021 ◽  
Vol 2085 (1) ◽  
pp. 012005
Author(s):  
Liping Zhou

Abstract Controlling the load balance of multi electromechanical transmission system is the core and difficulty of metro vehicles. In order to effectively control the load of multi electromechanical transmission system and ensure the load balance of multi electromechanical transmission system. A load balancing control method of multi electromechanical transmission system based on dynamic programming is proposed. By designing the structure of the transmission system filter, the low DC resonant frequency of the inverter is maintained and the grid harmonics with higher order effect are suppressed. The rotor field oriented correction method based on dynamic programming can improve the torque performance of traction electric drive system, control the DC side active damping oscillation, and realize the load balance control of multi electromechanical drive system. The simulation results show that the proposed method avoids the wrong rise of multi electromechanical voltage and the saturation of regulator output caused by inaccurate magnetic field orientation, can effectively control the load of multi electromechanical transmission system, ensure the load balance of multi electromechanical transmission system, and provide an effective reference for the load balance control of multi electromechanical transmission system.


Electronics ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 1051 ◽  
Author(s):  
Zhou ◽  
Chen ◽  
Zhou ◽  
Liu

Because the proportional–integral–derivative (PID) parameters selected by experience are random, the control effect of fuzzy PID cannot be optimized. In order to improve the accuracy and stability of robot motion control, an orthogonal-fuzzy PID intelligent control method is proposed. In this paper, the electric steering gear is used as the actuator, and the mathematical model of the servo motor joint drive system is established. The simulation analysis of the original control, PID control, fuzzy PID control, and orthogonal-fuzzy PID control of the manipulator joints in the Simulink software simulation environment and the motion control experiment of the manipulator show that using the orthogonal test method to adjust the PID parameters can quickly determine the appropriate PID parameters and greatly reduce the number of trials. The rise time, adjustment time, and overshoot of the system are significantly reduced by using fuzzy PID control, which can improve the adaptability of the system. By comparing and analyzing fuzzy PID and orthogonal-fuzzy PID control methods, it can be found that the system of orthogonal-fuzzy PID for optimal factor level combination (Kp = 0.1, Ki = 30 and Kd = 0.02) is the optimal system. The experiment results show that the orthogonal-fuzzy PID can further improve the accuracy of the system and reduce the oscillation process of the system near the steady state and make the motion more stable.


2013 ◽  
Vol 819 ◽  
pp. 229-233
Author(s):  
Zhong Liu ◽  
Jia Chen ◽  
Kai Zhang

Proposition of a high-speed switching valve pilot control of two-cylinder two-way electro-hydraulic synchronous drive system, the establishment of a mathematical model of the system, and using fuzzy PID control strategy designed controller, at the same time building a electro-hydraulic synchronization system simulation model based on fuzzy PID controller . Simulation results show that ,when using the fuzzy PID control strategy, slave cylinder of the synchronization system follow the initiative cylinder movement well, the peak-to-average speed of the slave cylinder is 20.3mm / s. Fuzzy PID control process according to the operating conditions change error and error change, by which it has automatic adjustment of PID parameters of the synchronization system. Therefore, fuzzy PID control has better adaptive ability, and the synchronization error is 0.04 mm, achieving high synchronization accuracy. Verifying that high-speed switching valve pilot control of the synchronous drive system and its control strategy is feasible.


Sign in / Sign up

Export Citation Format

Share Document