Control Strategy of Hydraulic Operation Control System under the Transient Load in Giant Hydraulic Press

2008 ◽  
Vol 44 (11) ◽  
pp. 272 ◽  
Author(s):  
Jianping TAN
Keyword(s):  
Control System ◽  
Control Strategy ◽  
Hydraulic Press ◽  
Transient Load ◽  
Operation Control ◽  
Hydraulic Operation

Intelligent Operation Control for the Fused Magnesia Production

2011 ◽  
Vol 391-392 ◽  
pp. 1450-1454
Author(s):  
Yong Jian Wu ◽  
Ping Zhou ◽  
Pin Shang ◽  
Tian You Chai
Keyword(s):  
Control System ◽  
Intelligent Control ◽  
Control Strategy ◽  
Control Method ◽  
Level Control ◽  
Loop Control ◽  
Intelligent Control System ◽  
Technical Requirements ◽  
Operation Control ◽  
Lower Loop

An electro-fused magnesia furnace (EFMF) is used to produce electro-fused magnesia. Due to the complex dynamic characteristics of the EFMF production process, it is difficult to achieve the satisfactory control performances only by the independent conventional control method. As a result, the lower loop control with manual operations is still widely used in practice. However, the manual operation cannot ensure that the actual production qualities and the energy consumption of unit production meet the technical requirements all the time. In this paper, an intelligent operation control strategy is developed for the EFMF to automatically adjust the setpoints of the lower level control system. Based on the proposed intelligent control strategy, an intelligent control system for the EFMF is built and implemented on site. Industrial application has demonstrated that the intelligent control system can achieve reliable, accurate and timely control performances.

The Design of the Giant Die Forging Hydraulic Press Synchronous Control System and its Dynamic Simulation

2012 ◽  
Vol 190-191 ◽  
pp. 836-841
Author(s):  
Zhong Wei Liu ◽  
Ying Jian Deng
Keyword(s):  
Control System ◽  
Control Strategy ◽  
Sliding Mode ◽  
Mathematic Model ◽  
Hydraulic Press ◽  
National Defense ◽  
Beam Position ◽  
Synchronous Control ◽  
Die Forging ◽  
Short Period

The giant hydraulic press is the essential equipment of our country national defense and the infrastructure. The hydraulic synchronous control system is the important constituent of the hydraulic press, it is very important in improving the dimension accuracy of the product, ameliorating the force standing state of the die forging hydraulic press frame, extending the life of the die forging hydraulic press body and the moulds. To use 300 MN die forging hydraulic press’s synchronous control system for reference, according to a giant die forging hydraulic press its own characteristics, design the synchronization control system. Through the establishment of the mathematic model of the system, and choose the sliding mode-PID control strategy and simulation, the results show that :using PID sliding-mode control strategy of synchronous control system, the eccentric moment after stability, can over a short period of time after the stagnation, quickly will move back to level calibration beam position, get close to zero static deviation. But using the common sliding mode-PID can not overcome the disturbance bringing by the parameter perturbation, so the corresponding nonlinear and intelligent control strategy is particularly necessary.

scholarly journals A Unified Control Strategy of Distributed Generation for Grid-Connected and Islanded Operation Conditions Using an Artificial Neural Network

2021 ◽  
Vol 13 (11) ◽  
pp. 6388
Author(s):  
Karim M. El-Sharawy ◽  
Hatem Y. Diab ◽  
Mahmoud O. Abdelsalam ◽  
Mostafa I. Marei
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Control System ◽  
Distributed Generation ◽  
Control Strategy ◽  
Current Control ◽  
Operating Conditions ◽  
Pi Controllers ◽  
Artificial Neural ◽  
The Stability

This article presents a control strategy that enables both islanded and grid-tied operations of a three-phase inverter in distributed generation. This distributed generation (DG) is based on a dramatically evolved direct current (DC) source. A unified control strategy is introduced to operate the interface in either the isolated or grid-connected modes. The proposed control system is based on the instantaneous tracking of the active power flow in order to achieve current control in the grid-connected mode and retain the stability of the frequency using phase-locked loop (PLL) circuits at the point of common coupling (PCC), in addition to managing the reactive power supplied to the grid. On the other side, the proposed control system is also based on the instantaneous tracking of the voltage to achieve the voltage control in the standalone mode and retain the stability of the frequency by using another circuit including a special equation (wt = 2πft, f = 50 Hz). This utilization provides the ability to obtain voltage stability across the critical load. One benefit of the proposed control strategy is that the design of the controller remains unconverted for other operating conditions. The simulation results are added to evaluate the performance of the proposed control technology using a different method; the first method used basic proportional integration (PI) controllers, and the second method used adaptive proportional integration (PI) controllers, i.e., an Artificial Neural Network (ANN).

scholarly journals Research on an Improved Sliding Mode Sensorless Six-Phase PMSM Control Strategy Based on ESO

Electronics ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1292
Author(s):  
Hanying Gao ◽  
Guoqiang Zhang ◽  
Wenxue Wang ◽  
Xuechen Liu
Keyword(s):  
Control System ◽  
Control Strategy ◽  
Sliding Mode ◽  
High Reliability ◽  
Permanent Magnet Synchronous Motor ◽  
Torque Ripple ◽  
Estimation Accuracy ◽  
Switching Function ◽  
Motor Speed ◽  
Rotor Position

The six-phase motor control system has low torque ripple, low harmonic content, and high reliability; therefore, it is suitable for electric vehicles, aerospace, and other applications requiring high power output and reliability. This study presents a superior sensorless control system for a six-phase permanent magnet synchronous motor (PMSM). The mathematical model of a PMSM in a stationary coordinate system is presented. The information of motor speed and position is obtained by using a sliding mode observer (SMO). As torque ripple and harmonic components affect the back electromotive force (BEMF) estimated value through the traditional SMO, the function of the frequency-variable tracker of the stator current (FVTSC) is used instead of the traditional switching function. By improving the SMO method, the BEMF is estimated independently, and its precision is maintained under startup or variable-speed states. In order to improve the estimation accuracy and resistance ability of the observer, the rotor position error was taken as the disturbance term, and the third-order extended state observer (ESO) was constructed to estimate the rotational speed and rotor position through the motor mechanical motion equation. Finally, the effectiveness of the method is verified by simulation and experiment results. The proposed control strategy can effectively improve the dynamic and static performance of PMSM.

Research of H∞ Robust Control for the Giant Die Forging Hydraulic Press’s Synchronous Control System under the Uncertainty Coefficient

2012 ◽  
Vol 190-191 ◽  
pp. 819-824 ◽  
Author(s):  
Ying Jian Deng ◽  
Zhong Wei Liu
Keyword(s):  
Control System ◽  
Robust Control ◽  
Control Algorithm ◽  
Hydraulic Press ◽  
National Defense ◽  
Synchronous Control ◽  
Performance Quality ◽  
System Synchronization ◽  
Uncertainty Coefficient

The giant hydraulic die press is our country national defense and the infrastructure essential equipment, the synchronous control system is the essential device to the giant forging hydraulic press, its synchronization control performance quality is good or bad will directly determine the quality of the product. This article through the proof of the theorem, gives the specific steps to achieve H∞ robust control algorithm. The simulation results show that: this control strategy has good inhibition to the change of system parameters, robustness is very strong, can well eliminate the system synchronization error.

scholarly journals Design of an Integrated Vehicle Chassis Control System with Driver Behavior Identification

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Bing Zhu ◽  
Yizhou Chen ◽  
Jian Zhao ◽  
Yunfu Su
Keyword(s):  
Control System ◽  
Control Strategy ◽  
Driver Behavior ◽  
Stability Performance ◽  
Integrated Chassis Control ◽  
Yaw Moment Control ◽  
Chassis Control ◽  
Lane Change Test ◽  
Behavior Characteristics ◽  
Vehicle Chassis

An integrated vehicle chassis control strategy with driver behavior identification is introduced in this paper. In order to identify the different types of driver behavior characteristics, a driver behavior signals acquisition system was established using the dSPACE real-time simulation platform, and the driver inputs of 30 test drivers were collected under the double lane change test condition. Then, driver behavior characteristics were analyzed and identified based on the preview optimal curvature model through genetic algorithm and neural network method. Using it as a base, an integrated chassis control strategy with active front steering (AFS) and direct yaw moment control (DYC) considering driver characteristics was established by model predictive control (MPC) method. Finally, simulations were carried out to verify the control strategy by CarSim and MATLAB/Simulink. The results show that the proposed method enables the control system to adjust its parameters according to the driver behavior identification results and the vehicle handling and stability performance are significantly improved.

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