Control System Modeling for Automotive Brake Test-Bench Based on Improved PID Algorithm

2012 ◽  
Vol 542-543 ◽  
pp. 1007-1010
Author(s):  
Jia Xi Du ◽  
Hong Shen ◽  
Yuexia Feng
Keyword(s):  
Genetic Algorithm ◽  
Control System ◽  
Pid Control ◽  
Test Bench ◽  
Control Function ◽  
Fitness Function ◽  
System Modeling ◽  
Loop Model ◽  
Deviation Function ◽  
Automotive Brake

Based on PID controller, the closed-loop model of instantaneous torque for automotive brake test-bench was established, and then the instantaneous torque and the deviation function were calculated, furthermore, the genetic algorithm was adopted in order to get a global optimal solution and to optimize the parameters of the PID control system. So that the deviation function can be reduced or improved. By comparing the effect of control function, the causes for error volatility of the PID control system were derived, and the fitness function of genetic algorithm was determined reasonably. This algorithm can improve the reliability and accuracy of the control model effectively, and provide an effective method for testing the merits and integrated performance of automotive brake design.

scholarly journals The Design of Robust Controller for Networked Control System with Time Delay

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Zhongda Lu ◽  
Lijing Wang ◽  
Fengbin Zhang ◽  
Fengxia Xu
Keyword(s):  
Control System ◽  
Time Delay ◽  
Control Systems ◽  
Networked Control Systems ◽  
System Modeling ◽  
Networked Control System ◽  
Networked Control ◽  
Loop Model ◽  
The Stability ◽  
System With Time Delay

This paper considers the stability andH∞control problem of networked control systems with time delay. Taking into account the influence of network with delay, unknown input disturbance, and uncertainties of the system modeling, meanwhile we establish a precise, closed-loop model for networked control systems with time delay. By selecting a proper Lyapunov-Krasovskii function and using Lyapunov theorem, a sufficient condition for stability of the system in the form of LMI is demonstrated, corresponding controller parameters are acquired, and the convergence of the control algorithm is proved. The simulation example shows that the construction of the network robust control system with time delay indeed improves the stability performance of the system, which indicates the effectiveness of the design.

The Control System of Test Bench for Thermal Insulating Properties of Building Doors and Windows Based on Fuzzy-PID Control

2013 ◽  
Vol 385-386 ◽  
pp. 968-972
Author(s):  
Zhi Guang Gong ◽  
Chun Hui Du ◽  
Ya Jie Li ◽  
Jiang Li Yu
Keyword(s):  
Control System ◽  
Temperature Control ◽  
Pid Control ◽  
Test Bench ◽  
Temperature Control System ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Temperature Measuring ◽  
Thermal Insulating ◽  
Insulating Properties

According to many temperature measuring points, the large delay, nonlinear and time-varying characteristics of the temperature control system of test bench for thermal insulating property, By combining fuzzy-PID control technology with Zigbee WSN technology, a design scheme of the automatic control system of test bench for thermal insulating properties of building doors and windows is put forward, which is low-cost and high precision. The microprocessor of sensor node adopts CC2530 wireless MCU. The system adopts Zigbee wireless network and RS-485 bus to transmit digital temperature and humidity signals, and is no wiring, intermediate links are lessened, transmission error is reduced and temperature measuring accuracy is improved. By adopting Fuzzy-PID control, the self-adaptability of controller and the precision of temperature control is improved.

scholarly journals Optimization of the PID coefficients for the line-follower mobile robot controller employing genetic algorithm

Informatics ◽  
2021 ◽  
Vol 18 (4) ◽  
pp. 53-68
Author(s):  
T. Yu. Kim ◽  
R. A. Prakapovich
Keyword(s):  
Genetic Algorithm ◽  
Control System ◽  
Mobile Robot ◽  
Software Package ◽  
Pid Controller ◽  
Fitness Function ◽  
Color Contrast ◽  
Robot Controller ◽  
Mobile Robot Control ◽  
Evolutionary Tuning

O b j e c t i v e s. To develop a control system for the movement of a mobile robot along a color-contrast line, as well as to find the values of the coefficients of a proportional-integral-differentiating (PID) controller that allows the robot to move along the line at a given speed.M e t ho d s. To adjust the values of the coefficients of the PID controller, methods of enumeration, automatic tuning and a genetic algorithm are used.Re s u l t s. A software package for tuning the PID controller of the educational mobile robot RoboCake, designed to move along a closed color-contrast line at a given speed, has been developed. The software package consists of a simulation model of the specified robot in the Simulink environment, several virtual traces-polygons and a specialized solver based on the developed genetic algorithm. With the help of the proposed fitness function, a mobile robot control system that satisfies the stated conditions is implemented. Based on the conducted model experiments, the desired values of the parameters of the PID controller are obtained.Co n c l u s i o n. A comparison of the effectiveness of various methods of tuning the PID controller is carried out. The developed software package is designed to solve the practical problem of moving a mobile robot along a color-contrast line at a speed of 1 m/s. The results obtained can be used to study methods of evolutionary tuning of stabilization systems for transport robots, ensuring their movement without overshoot.

Optimal analysis and application of the warp tension control system for a rapier loom

2021 ◽  
pp. 004051752110536
Author(s):  
Yanjun Xiao ◽  
Zhenpeng Zhang ◽  
Zhenhao Liu ◽  
Weiling Liu ◽  
Nan Gao ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Control System ◽  
Pid Control ◽  
Performance Optimization ◽  
Experimental Studies ◽  
Tension Control ◽  
Control Performance ◽  
Improved Genetic Algorithm ◽  
Warp Tension ◽  
Tension Control System

Traditional proportional–integral–derivative (PID) control performance optimization is an essential method to improve a loom’s warp tension control performance. This work proposes an improved genetic algorithm optimized PID control scheme to overcome the decline in control performance of the traditional PID control algorithm in a loom’s warp tension control system. Through the decoupling analysis of loom motion mechanism, the establishment of warp tension model and the optimization of fitness evaluation mechanism of genetic algorithm can effectively overcome the problems of local optimal solution and algorithm degradation of genetic algorithm. Simulation experiments were carried out with the traditional PID, the integral separation PID, and the genetic PID in warp tension control. The results show the advantage of the genetic-PID algorithm to control warp tension stability. Ultimately, according to the functional characteristics of the loom mechanism, a tension control platform for experimental studies was established. The test results show that the maximum fluctuation range of warp tension is within [−2, +6] at the test speed of 850 rpm, which meets the requirements of long-term stable and reliable control of warp tension under different weaving conditions.

Advanced design and tests of a new electrical control seeding system with genetic algorithm fuzzy control strategy

2021 ◽  
pp. 1-10
Author(s):  
Sheng Wang ◽  
Yanhong Sun ◽  
Chen Yang ◽  
Yongchang Yu
Keyword(s):  
Genetic Algorithm ◽  
Control System ◽  
Fuzzy Control ◽  
Electric Drive ◽  
Pid Control ◽  
Fuzzy Pid ◽  
Seeding Rate ◽  
Fuzzy Pid Control ◽  
Transmission Method ◽  
Better Than

In the existing soybean breeding and planting machinery, the power source of the metering device adopts the ground wheel transmission method mostly. However, this power transmission method is likely to cause slippage during the planting operation, which will cause problems such as the increase of the missed seeding index and the increase of the coefficient of plant spacing. It is not conducive for scientific researchers to carry out breeding operations. Aiming at this problem, an electronically controlled soybean seeding system is designed, and the power of the seed metering device is derived from the motor. In order to improve the control accuracy of the electronically controlled seeding system, the precise control of the soybean seeding rate is finally realized. The electric drive soybean seeding system adopts closed-loop control, the motor model of the electric drive seeding system is established, and the transfer function of the motor is obtained. PID control based on a genetic algorithm is adopted, and the corresponding parameters are substituted into the control system simulation model established in MATLAB/SIMULINK. Field verification tests have been carried out on the conventional fuzzy PID control system and the electric drive soybean planter of the fuzzy PID control system based on a genetic algorithm. The result showed that the average of the repeat-seeding parameter is 1.30% better than the average of conventional seeding system (1.40%), the average of the miss-seeding parameter is 1.08% better than the average of conventional seeding system (2.09%) and the average of row-spacing variation parameter is 2.79% better than the average of conventional seeding system (2.34%). In conclusion, the new seeding system is robust obviously. Field trial results show that seeding with Genetic Algorithm Fuzzy control is better.

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