Simulation Research on Control Method of Chassis Misuse Failure Chain

2022 ◽  
pp. 451-466
Author(s):  
Chao Han ◽  
Liang Peng ◽  
Zhenglin Cao ◽  
Zhigang Chen ◽  
Xiaoyi Wu ◽  
...  
Keyword(s):  
Control Method ◽  
Simulation Research

Research on Distillation Fuzzy Decoupling Control System

2013 ◽  
Vol 336-338 ◽  
pp. 434-437
Author(s):  
Sheng Li Lu ◽  
Yan Yan Tian ◽  
Mei Ling Liu
Keyword(s):  
Control System ◽  
Temperature Control ◽  
Control Method ◽  
Process Analysis ◽  
Decoupling Control ◽  
Distillation Tower ◽  
Simulation Research ◽  
Control Loops ◽  
Simulation Process ◽  
Implementation Method

The distillation process analysis showed that there was significant coupling relationship between temperature control loops of distillation tower top and bottom. Therfore, a new dual-input dual-output fuzzy decoupling control method is put forward and simulation research on decoupling control qualities is made by using Simulink. This paper introduces the structure and implementation method in every link of this decoupling control system as well as simulation process. The results show that fuzzy decoupling control can improve the temperature control qualities of distillation tower top and bottom efficiently.

A Simulation Research of Artificial Intelligence Control

2012 ◽  
Vol 214 ◽  
pp. 640-643
Author(s):  
Xin Xiong ◽  
Chao Dong Lu
Keyword(s):  
Artificial Intelligence ◽  
Control System ◽  
Control Method ◽  
Control Mode ◽  
Simulation Research ◽  
Loop Control ◽  
Complex Control ◽  
Intelligence Control ◽  
And Control ◽  
Specific Control

The traditional control system can not meet the more complex control tasks of the problem, using artificial intelligence control method of imitation, artificial intelligence control system on the overall structure of the design, and given the specific control algorithms. System relies on accurately identify the various features of the error and make the appropriate decisions to multiplexing, open, closed loop control mode of combining control and solve the complex control of the process of identification, decision-making and control problems and achieve A unified identification control.

Adaptive Vibration Control of Beraingless Permanent Magnet Synchronous Motor

2012 ◽  
Vol 268-270 ◽  
pp. 1023-1026
Author(s):  
Tao Zhang ◽  
Wei Ni ◽  
Sha Sha Wu ◽  
Hui Ping Zhang ◽  
Jian Xiang Ji
Keyword(s):  
Control System ◽  
Control Method ◽  
Permanent Magnet Synchronous Motor ◽  
Tracking Algorithm ◽  
Rotor Vibration ◽  
Simulation Research ◽  
Compensation Control ◽  
Multiple Frequencies ◽  
Vibration Compensation ◽  
Adaptive Vibration Control

The vibration producing mechanisms of BPMSM were analyzed. Then, the adaptive multiple frequencies tracking algorithm was induced. The vibration feed-forward compensation control method based on adaptive multiple frequencies tracking algorithm was presented. The vibration compensation control system was constructed. Finally, the simulation research was executed. The results have shown that the method proposed in this paper can suppress the rotor vibration effectively.

Study on the Stiffness Compensation Control Method in Twin Roll Strip Casting Process

2015 ◽  
Vol 833 ◽  
pp. 207-210
Author(s):  
Yu Jun Zhang ◽  
Dong Ying Ju ◽  
Weng Yu Zhang ◽  
Yao Yao ◽  
Hong Yang Zhao ◽  
...  
Keyword(s):  
Control System ◽  
Control Strategy ◽  
Control Method ◽  
System Simulation ◽  
Casting Process ◽  
Strip Casting ◽  
Simulation Research ◽  
Compensation Control ◽  
Roll Gap ◽  
Twin Roll

In this paper, the stiffness compensation is used in the roll-gap controller to improve the reliability of the control system. Simulation research indicates that this method can enhance the control quality than traditional control strategy.

The Fuzzy PID Control Simulation Research of the Macro-Micro Servo Driven Positioning Mechanism

2014 ◽  
Vol 668-669 ◽  
pp. 544-548
Author(s):  
You Xiong Xu ◽  
Song Qing Zhu
Keyword(s):  
High Precision ◽  
Pid Control ◽  
Control Method ◽  
Dynamic Performance ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Simulation Research ◽  
Control Simulation ◽  
Motion System ◽  
Combined Simulation

According to the contradiction between the large stroke and high precision of positioning mechanism, in order to solve the high precision positioning problem of large stroke motion system in precision machining and precision measurement fields, the macro-micro positioning mechanism based on electrohydraulic-piezoelectric hybrid servo was presented with the advantages of the electrohydraulic servo driven and the piezoelectric precision driven. Its combined simulation model based on AMESim and MATLAB/Simulink software was built. On this basis, its fuzzy PID control simulation research was done. The simulation results showed that compared with traditional PID, the positioning mechanism static and dynamic performance could be improved by using the fuzzy control method. This will provide control theoretical basis for practical engineering applications.

Simulation Research on Steering Electromotor Control for Electric Pallet Truck Based on Fuzzy Adaptive PID

2011 ◽  
Vol 101-102 ◽  
pp. 564-568
Author(s):  
Li Sheng Shu ◽  
Guo Ping Li
Keyword(s):  
Control System ◽  
Control Method ◽  
Speed Control ◽  
Control Device ◽  
Steering Control ◽  
Simulation Research ◽  
Brushless Dc ◽  
Speed Control System ◽  
Static Performance ◽  
Fuzzy Adaptive

According to the mathematical model of brushless DC motor (BLDCM), control equations of BLDCM speed control system and simulation model were established for steering control device in electric pallet truck based on transfer function in Matlab/Simulink. The fuzzy adaptive PID control method was introduced to speed control system, and it can realize PID parameter’s online adjustment. Simulation result shows that the designed speed controller based on fuzzy adaptive PID has better dynamic and static performance than the controller based on traditional PID, and the control accuracy is also greatly improved.

The Simulation Research of Photovoltaic System MPPT Based on MATLAB

2013 ◽  
Vol 336-338 ◽  
pp. 686-689
Author(s):  
Cun Xiang Yang ◽  
Bi Ma ◽  
Nan Jin
Keyword(s):  
Tracking Control ◽  
Control Method ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Simulation Research ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Environment Temperature ◽  
Characteristic Effect ◽  
Power Point

In the photovoltaic power generation systems, photovoltaic battery output characteristic effect by the illumination intensity and environment temperature is very big, and has the obvious nonlinear characteristics. Therefore, it is necessary to photovoltaic battery maximum power point tracking control. This paper gives a brief introduction to the characteristics of photovoltaic battery, and puts forward an improved maximum power tracking control method, through the simulation experiments prove that the of validity this method .

Research on Multi-Actuators Speed Control Methods in Large-Scale Vessel

2009 ◽  
Vol 419-420 ◽  
pp. 85-88
Author(s):  
Hui Xiong Wan ◽  
Hui Huang ◽  
Hai Bo Huang
Keyword(s):  
Large Scale ◽  
Control Method ◽  
Flow Distribution ◽  
Speed Control ◽  
Effective Control ◽  
Control Methods ◽  
Simulation Research ◽  
Compensation Control ◽  
Speed Error ◽  
Pressure Compensation

For multi-actuators speed control system driven by single pump, several effective control methods have been proposed, such as flow feedback control, etc. These methods are effective only to the engineering equipment with fewer actuators. As for large vessels with more than ten actuators required for speed control, using traditional control methods will result in that costs much, the structure of the hydraulic system is very complicated, even unable to realize. In order to meet the coordinate action of many actuators, two ways based on throttle control and pressure compensation control are introduced in this paper. The research results based on the theoretical analysis of speed control error and adaptability, simulation research and experimental confirmation indicate that the throttle control method is limited by the number of actuators, load size and the speed error, but the pressure compensation control method is helpful to enhance rationality and the coordination of flow distribution between various actuators.

Dual Piezoelectric-Driving Pneumatic Digital Valve Control Method Simulation Research

2013 ◽  
Vol 816-817 ◽  
pp. 367-370
Author(s):  
You Xiong Xu ◽  
Song Qing Zhu
Keyword(s):  
Control Algorithm ◽  
Control Method ◽  
Simulation Research ◽  
Proportional Control ◽  
Waste Gas ◽  
Joint Simulation ◽  
Compound Control ◽  
Simulation Results ◽  
Valve Control ◽  
Pressure Overshoot

Because its pilot stage is a two-position tree-way valve, the previously research piezoelectric type pneumatic digital valve also constantly works in on or off state even in the case of output stable pressure, which makes the valve with pressure fluctuation, waste gas and other shortcomings. In order to overcome the above problem, a novel pneumatic digital valve driven by dual piezoelectric is presented in this thesis. And its simulation model is built based on the AMESim and Matlab/simulink joint simulation platform. On this basis, its control method is researched by the simulation. The simulation shows that the Bang-Bang and the PWM control algorithm can basically achieve the digital proportional control of the valve, but the valve has overshoot. For this, the compound control algorithm with PID plus PWM is proposed to control the valve. The simulation results show that this algorithm is effective which can reduce the pressure overshoot.

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