scholarly journals Angle and Force Hybrid Control Method for Electrohydraulic Leveling System with Independent Metering

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Kailei Liu ◽  
Shaopeng Kang ◽  
Zhongliang Cao ◽  
Rongsheng Liu ◽  
Zhaoxuan Ding
Keyword(s):  
Pid Controller ◽  
Control Method ◽  
Hybrid Control ◽  
Control Function ◽  
Hydraulic Press ◽  
Load Force ◽  
Static Behavior ◽  
Eccentric Load ◽  
Simulation Results ◽  
Leveling Control

The electrohydraulic leveling system of the hydraulic press can realize automatic leveling control function. In order to eliminate the eccentric load force accurately, an electrohydraulic leveling system with independent metering is designed. Quasi-static behavior analysis of the leveling cylinders output forces performance is applied to the electrohydraulic leveling system with independent metering. The angle and force hybrid control method is proposed, and then the AMESim/Simulink cosimulation model is built. The HSIC controller and PID controller are used in the simulation, respectively. Simulation results show that both of the leveling angle control and leveling cylinders output forces control can be realized, simultaneously, and the HSIC controller has higher rapidity and smaller overshoot than the PID controller.

P-CMAC-Based Control Method and its Application in Filament Tension Control

2010 ◽  
Vol 33 ◽  
pp. 101-104
Author(s):  
D.X. Chen ◽  
G. Wang
Keyword(s):  
Neural Network ◽  
Pid Controller ◽  
Fuzzy Inference ◽  
Control Method ◽  
Hybrid Control ◽  
Tracking Error ◽  
Tension Control ◽  
Approximation Accuracy ◽  
Control Scheme ◽  
Hybrid Control Scheme

Cerebella Model Articulation Controller (CMAC) is considered as local association and generalization neural network. Parametric CMAC (P-CMAC) is a modification to the original CMAC. The introduction of continuous activation function applied in the input space can overcome the binary behavior of the original CMAC. Takagi-Sugeno(TS) type fuzzy inference is embedded in the internal mapping to improve the approximation accuracy. Hybrid control scheme, which combines P-CMAC neural network and traditional PID controller, is proposed in the paper. The output of P-CMAC network dominates the overall control signal applied to the plant, while the traditional PID controller serves as compensator for reducing tracking error. The application of hybrid control scheme to filament tension control is illustrated. The experimental results have shown the effectiveness and accuracy improvement of the control scheme.

Feedback Filter PID Control for Integrator and Time Delay Processes

2012 ◽  
Vol 490-495 ◽  
pp. 1321-1325
Author(s):  
Wei Tang ◽  
Xiao Xiang Ji
Keyword(s):  
Time Delay ◽  
Pid Control ◽  
Pid Controller ◽  
Control Method ◽  
Open Loop ◽  
Point Tracking ◽  
Feedback Model ◽  
Pole Type ◽  
Simulation Results ◽  
Controlled Object

A PID controller based on a typical feedback model is introduced because of instability of a kind of integrator and time delay process on open-loop condition. All-pole-type approximating method is adopted to deal with delay part of the controlled object approximately,and confirmed parameters of PID controller is obtained by importing a strategy of confirming parameters of PID controller based on a kind of typical feedback model from IMC principle.The designed control method shows better set point tracking performance based on initialed parameters point and better interference suppression performance of the controlled object.The structure of the controller is simple, and parameters are easy to adjust, the improved controller is easy to apply to practical projects.The simulation results show its effectiveness

APPLICATION OF SOLID ELEMENT IN IRONING SIMULATION AND OPTIMIZATION OF PROCESS PARAMETERS

2009 ◽  
Vol 06 (04) ◽  
pp. 485-500 ◽  
Author(s):  
JIANGPING XU ◽  
TING DU ◽  
YUQI LIU ◽  
ZHIBING ZHANG
Keyword(s):  
Process Parameters ◽  
Control Method ◽  
Maximum Load ◽  
Load Force ◽  
Viscous Damping ◽  
Forming Force ◽  
Simulation And Optimization ◽  
Optimization Of Process Parameters ◽  
Hourglass Control ◽  
Simulation Results

Based on viscous damping hourglass control method, a one-point integrated hexahedral finite element dynamic explicit algorithm is programmed and ironing process simulation has also been carried out. Simulation results with controlled hourglass algorithm shows that the hourglass control method is robust in this research and the setting of hourglass coefficient is analyzed. Furthermore, the reduction ratio R, friction coefficient μ between molds and blank, semi-angle α, which affect the maximum forming force, are discussed in detail. Simulation results show that the proper choice of those process parameters could obtain minimum maximum load force, thus effectively decrease moulds wear and lengthen moulds life.

Pengaturan Kecepatan Motor Shunt Berbasis PID Auto-tune Matlab

2018 ◽  
Vol 9 (1) ◽  
pp. 21-25
Author(s):  
Muhlasin Muhlasin ◽  
Rukslin Rukslin
Keyword(s):  
High Resistance ◽  
Electric Motor ◽  
Rotational Speed ◽  
Pid Controller ◽  
Control Method ◽  
Control Design ◽  
Settling Time ◽  
Output Current ◽  
Simulation Results ◽  
A Current

The shunt motor cannot produce large currents when starting to do a rotation as in the series coil field. This means that parallel motors have weak initial torque. When the voltage is applied to an electric motor, high resistance to the parallel coil keeps the current flowing slowly. This will affect the motor's rotational speed. To overcome this problem, a PID controller is used which detuning using the Autotuning program in Matlab. From the simulation results, it was found that the PID auto-tune control method is the best method of three simulated designs. At the speed output, the best speed is 300 rpm with the fastest settling time is 0.832 seconds, while the output current is also the best control design with a current of 1,959 amperes and the settling time is 1,523 seconds.

Pengaturan Kecepatan Motor Shunt Berbasis PID Auto-tune Matlab

2019 ◽  
Vol 9 (1) ◽  
pp. 21-25
Author(s):  
Muhlasin ◽  
Rukslin
Keyword(s):  
High Resistance ◽  
Electric Motor ◽  
Rotational Speed ◽  
Pid Controller ◽  
Control Method ◽  
Control Design ◽  
Settling Time ◽  
Output Current ◽  
Simulation Results ◽  
A Current

The shunt motor cannot produce large currents when starting to do a rotation as in the series coil field. This means that parallel motors have weak initial torque. When the voltage is applied to an electric motor, high resistance to the parallel coil keeps the current flowing slowly. This will affect the motor's rotational speed. To overcome this problem, a PID controller is used which detuning using the Auto tuning program in matlab. From the simulation results it was found that the PID auto tune control method is the best method of three simulated designs. At the speed output the best speed is 300 rpm with the fastest settling time is 0.832 seconds, while the output current is also the best control design with a current of 1,959 amperes and the settling time is 1,523 seconds.

The Strategy Research for Doubly-Fed Wind Power Generator Active-Reactive Hybrid Additional Damping Control

2013 ◽  
Vol 805-806 ◽  
pp. 320-326
Author(s):  
Wei Wei ◽  
Li Jie Ding ◽  
Ying Liu ◽  
Gan Li
Keyword(s):  
Wind Power ◽  
Reactive Power ◽  
Control Method ◽  
Hybrid Control ◽  
Control Function ◽  
Operating Conditions ◽  
Constant Frequency ◽  
Wind Generator ◽  
Wind Power Generator ◽  
Doubly Fed

Based on the traditional single power control of the doubly-fed wind generator, this paper proposes an active/reactive power hybrid control method of the doubly-fed wind generator, which associates the operation characteristics of the doubly-fed wind generator with the operating conditions of the power grid. This proposed method incorporates the power variation in the system transmission channel into the calculation of the wind generator power output, and employs the additional control function of the wind generator to increase system damping and restrain system power oscillation. At the same time, the proposed method controls the wind generator to capture the maximum wind power when it is operating at a variable speed with a constant frequency. Moreover, because the proposed method decouples the control of active and reactive power, the converter capacity can be reduced. Simulations in a 9-generator 13-bus system and results indicate the effectiveness and robustness of the proposed method.

On Synchronous Balancing System of Huge-Scale Hydraulic Press’s Moving Beam Based on Fuzzy Self-Tuning PID Controller

2011 ◽  
Vol 48-49 ◽  
pp. 757-766
Author(s):  
Yu Cai Zhou ◽  
Shao Jun Liu ◽  
Ming Hui Huang ◽  
Yi Deng ◽  
Jun Duan
Keyword(s):  
Fuzzy Logic ◽  
Experimental Test ◽  
Pid Controller ◽  
High Accuracy ◽  
Hydraulic Press ◽  
Eccentric Load ◽  
Synchronization System ◽  
Moving Beam ◽  
Self Tuning ◽  
Set Up

The dynamic model of the synchronous balancing system of huge-scale hydraulic press was set up based on analyzing of force acted on 800MN huge scale hydraulic press’s moving beam .A self-tuning PID controller was designed and simulated by using the MATLAB fuzzy logic too1．The simulation result shows that it is very effective to overcome the eccentric load and parameter variety ,in additon ,in order to check the real control efficency , The related experiments were carried on the 315T experimental test special-purpose press as well as simulation anylyzing ,which was built for 800MN huge scale hydraulic press’s design and anylyzing.The results both show that the hydraulic press’s synchronization system with the fuzzy self-tuning PID controller has a slight overshoot，rapid response and high accuracy.

scholarly journals An Improved PID Controller for the Compliant Constant-Force Actuator Based on BP Neural Network and Smith Predictor

2021 ◽  
Vol 11 (6) ◽  
pp. 2685
Author(s):  
Guojin Pei ◽  
Ming Yu ◽  
Yaohui Xu ◽  
Cui Ma ◽  
Houhu Lai ◽  
...  
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Pid Control ◽  
Pid Controller ◽  
Experimental Validation ◽  
Control Method ◽  
Smith Predictor ◽  
Constant Force ◽  
Matlab Simulation ◽  
Adjustment Time

A compliant constant-force actuator based on the cylinder is an important tool for the contact operation of robots. Due to the nonlinearity and time delay of the pneumatic system, the traditional proportional–integral–derivative (PID) method for constant force control does not work so well. In this paper, an improved PID control method combining a backpropagation (BP) neural network and the Smith predictor is proposed. Through MATLAB simulation and experimental validation, the results show that the proposed method can shorten the maximum overshoot and the adjustment time compared with traditional the PID method.

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