Design and MATLAB Simulation of a Composite PID Controller for EPS Test-Benches

2014 ◽  
Vol 487 ◽  
pp. 635-638
Author(s):  
Yun Fei Mai ◽  
Shao Long Liu ◽  
Wen Jing Ding
Keyword(s):  
Partial Derivative ◽  
Pid Control ◽  
Pid Controller ◽  
Dead Zone ◽  
Practical Significance ◽  
Control Algorithms ◽  
Matlab Simulation ◽  
Control Laws ◽  
Pid Algorithm ◽  
Simulation Results

For the problems that exist in EPS composite test-benches, PID control laws are expounded, a composite PID controller is designed, which is integrated with multiple advanced PID control algorithms (variable-integral PID algorithm, PID algorithm with filters, partial derivative PID algorithm, PID algorithm with dead zone), and it is simulated by MATLAB. The simulation results show that the improvement of accuracy and the impacts mitigation of the nonlinearity and external electromagnetic interferences are achieved well through the composite PID controller, and there is practical significance.

Research of Several PID Algorithms Based on MATLAB

2013 ◽  
Vol 760-762 ◽  
pp. 1075-1079
Author(s):  
Jin Zeng ◽  
Li Guang Wang ◽  
Meng Jun Ye ◽  
Chang Hui Hu ◽  
Tian Feng Ye
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Dead Zone ◽  
Control Algorithms ◽  
Pid Algorithm ◽  
Digital Pid ◽  
Digital Pid Control

This paper introduces several PID control algorithms and their discretization expression. Compare the performance of positional PID algorithm with incremental PID algorithm, integration separate PID algorithm, incomplete differential PID algorithm and PID algorithm with dead zone. The experiment results show that different digital PID control algorithm could achieve different using.

Study on Rotational Speed Intelligent Regulation of Diesel Generator Based on Fuzzy PID Algorithm

2014 ◽  
Vol 1008-1009 ◽  
pp. 1022-1026
Author(s):  
Le Yu Zhang ◽  
Zhao Jin ◽  
Xiao Bin Pan ◽  
Jian Yan
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Mathematic Model ◽  
Fuzzy Pid ◽  
Diesel Generator ◽  
Pid Algorithm ◽  
Fuzzy Pid Controller ◽  
Governing System ◽  
Strong Robustness ◽  
Simulation Results

Based on a mathematic model of diesel generator mechanical centrifugal governor and the traditional PID control and fuzzy control, a fuzzy PID controller is designed so as to accomplish the self-adjustment of diesel generator mechanical governor parameters. The fuzzy PID controlling diesel generator mechanical governing system is simulated by Simulink and the simulation results suggest that the fuzzy self-adjusting PID control owns the merits of well dynamic property, strong robustness and better adaptability compared to the traditional PID control. Therefore, the performance of diesel generator rotate speed governing system is largely advanced.

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.

Active Force Control Applied to Spray Boom Structure

2013 ◽  
Vol 315 ◽  
pp. 616-620 ◽  
Author(s):  
Mona Tahmasebi ◽  
Roslan Abdul Rahman ◽  
Musa Mailah ◽  
Mohammad Gohari
Keyword(s):  
Pid Control ◽  
Force Control ◽  
High Frequency ◽  
Pid Controller ◽  
Active Force ◽  
Proportional Integral Derivative ◽  
Proportional Integral Derivative Controller ◽  
Active Force Control ◽  
Simulation Results ◽  
Vertical Vibrations

Distribution pattern of spray boom in fields is affected by several parameters which one of the important reasons is horizontal and vertical vibrations because of unevenness surfaces. Spray boom movements lead to decrease of spread efficiency and crop yield. Generally, active suspension is employed to control and attenuate the vibration of sprayer booms because these suspensions reduce the high frequency vibration of spray booms thanks to irregularities soil. In this research, a proportional-integral-derivative controller with active force control is used to remove undesired rolling of spray boom. Simulation results depict that the proposed scheme is more effective and accurate than PID control only scheme. The AFC based scheme shows the robustness and accuracy compared to the PID controller.

The PID Control Algorithm Based on MATLAB Simulation

2014 ◽  
Vol 494-495 ◽  
pp. 1302-1305
Author(s):  
Le Peng Song ◽  
Di Jian Xu ◽  
Jin Liang Shi ◽  
Bi Jia
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Control Algorithm ◽  
Theoretical Foundation ◽  
Matlab Simulation ◽  
Paper Briefly ◽  
Graphical Language ◽  
Visual Modeling ◽  
Modeling Simulation ◽  
Symbolic Operation

MATLAB is a set of numerical calculation, symbolic operation, visual modeling, simulation and graphic processing and other functions in one of the very best graphical language. This paper briefly introduces the PID controller is widely used in the field of industry, and the theoretical foundation of the PID controller, and the continuous improvement of system performance index.

PID Control of Deposit Dimension during Spray Forming

2005 ◽  
Vol 475-479 ◽  
pp. 2811-2814 ◽  
Author(s):  
Ying Dong Qu ◽  
Cheng Song Cui ◽  
San Ben Chen ◽  
Qing Chun Li
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Network Modeling ◽  
Spray Forming ◽  
Neural Network Modeling ◽  
Melt Flow Rate ◽  
Forming Simulation ◽  
Dimensional Precision ◽  
Simulation Results ◽  
Actual Size

A PID controller has been developed to improve the dimensional precision of a deposit during spray forming. Simulation has been carried out based on a dynamic neural network modeling of deposit dimension. The simulation results show that the PID controller is effective for the control of deposit dimension with short regulating time and low override. Experimental results show that the error between the actual size and the target value is very small even though a disturbance from unstable melt flow rate was introduced.

Fuzzy PID Control and Simulation of Wind Power Generation Yaw System

2014 ◽  
Vol 953-954 ◽  
pp. 353-356 ◽  
Author(s):  
Fan Yang ◽  
Tong Yang ◽  
Xiao Hong Yang
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Time Performance ◽  
System A ◽  
Self Tuning ◽  
Simulation Results ◽  
The Stability

Aimed at the high inertia and non-linear characteristics of yaw system, a parameter self –tuning fuzzy PID controller is designed. The controller can adjust the PID parameters based on the wind direction variation, and make the turbines track the coming wind timely to obtain maximum power output. Simulation results show that the controller has good real-time performance and robustness compared with the traditional PID control. It can lower the fluctuation and overshoot, and improve the stability of the yaw system significantly.

The Study of Fuzzy/PID Compound Control Algorithms in Rubber Sulfuration Process Based on Sugeno Rules

2011 ◽  
Vol 221 ◽  
pp. 571-576
Author(s):  
Chun Tang Zhang ◽  
Zhen Zhu Yu
Keyword(s):  
Mathematical Model ◽  
Control Algorithm ◽  
Fuzzy Inference ◽  
Control Algorithms ◽  
Fuzzy Pid ◽  
Inference System ◽  
Pid Algorithm ◽  
Compound Control ◽  
Simulation Results ◽  
Nonlinear Delay

Aiming at rubber sulfuration of nonlinear, delay and complexity, a Fuzzy/PID compound control algorithm is proposed. The algorithm combined fuzzy inference system and PID algorithm, it has solved well the problem which is difficult to establish a precise mathematical model because of the uncertainties and complexities of rubber sulfuration. The simulation results indicate that the control algorithm is viable and effective.

A Kind of Improved PID Control Algorithm

2013 ◽  
Vol 760-762 ◽  
pp. 1117-1121
Author(s):  
Jian Wei Liang ◽  
Jin Xia Ren ◽  
Fei Cheng
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
System Quality ◽  
Pid Algorithm ◽  
Simulation Results

This paper proposes a kind of improved variable integral PID control algorithm. Simulation results show that the variable integral PID control algorithm improves the system quality compared with the normal PID algorithm. It overcomes the problems of overshoot and integral saturation in the normal PID algorithm. With the seldom parameters, we are easy to set it.

Digital Automatic Control System with PID Controller

1970 ◽  
Vol 110 (4) ◽  
pp. 13-16
Author(s):  
A. Petrovas ◽  
S. Lisauskas ◽  
R. Rinkeviciene
Keyword(s):  
Control System ◽  
Automatic Control ◽  
Design Process ◽  
Automatic Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Control Algorithm ◽  
General Purpose ◽  
Simulation Results

The design process of digital automatic control system with PID controller is considered. The solution of problems related with implementation of PID control algorithm into general purpose 8-bit microcontroller is discussed. Simulation results demonstrating performance of system are presented. Ill. 4, bibl. 6, tabl. 3 (in English; abstracts in English and Lithuanian).http://dx.doi.org/10.5755/j01.eee.110.4.277

Sign in / Sign up

Export Citation Format

Share Document