Research on Deviation Correction Control Technique of the Paver’s Traveling System

2012 ◽  
Vol 490-495 ◽  
pp. 1777-1782
Author(s):  
Dong Qing Wang ◽  
En Rong Mao ◽  
Xiu Jie Yin

In order to improve the performance of crawler paver’s traveling and reduce the paver’s straight traveling deviation, a new control plan of paver’s traveling system was proposed. In the control plan, the left wheel control method adopted velocity closed loop control in order to keep constant-speed moving of the paver. The right wheel control method adopted the series structure of fuzzy control and PID control in which the fuzzy controller slightly adjusted the right wheel set point of PID controller according to the distance difference variable and velocity difference variable of paver’s left wheel and right wheel. In the working condition of straight paving, the real time deviation correction is achieved to assure paver’s straight traveling.

2019 ◽  
Vol 8 (4) ◽  
pp. 2192-2197

This study describes the development of a line follower robot for a surveillance camera monitoring system. An effective closed loop control fuzzy logic algorithm is used to constantly correct wrong movements of the mobile robot using a feedback mechanism. The robot senses a black line on a white surface and endeavors itself accordingly to follow the track. A manual navigation system has also been designed to overrule the automatic navigation control of the robot to reposition itself back on the track whenever it strays from the path unintentionally. The fuzzy controller algorithm is an advanced method to ensure the line follower robot moves accurately on the track. It is a replacement control technique of traditional switching method. To fuzzifying the digital input data of four infrared sensor that detecting the line, the data is converted into error and delta error that represent the current and previous position of the robot relative to the line that it follows. There are nine base rules that have been created with two inputs which are error and delta error to the robot direction whether to go to the right, move forward or to the left. Then, for defuzzification, center of sum and centroid of area method have been used to calculate the defuzzied value using trapezium area formulae. Based on the comparison between both control techniques, it is found that the line following surveillance robot with fuzzy logic controller works faster than conventional switching method to complete the same task with the average oscillation length using the fuzzy logic controller is reduced to half.


2016 ◽  
Vol 4 (2) ◽  
pp. 1-16
Author(s):  
Ahmed S. Khusheef

 A quadrotor is a four-rotor aircraft capable of vertical take-off and landing, hovering, forward flight, and having great maneuverability. Its platform can be made in a small size make it convenient for indoor applications as well as for outdoor uses. In model there are four input forces that are essentially the thrust provided by each propeller attached to each motor with a fixed angle. The quadrotor is basically considered an unstable system because of the aerodynamic effects; consequently, a close-loop control system is required to achieve stability and autonomy. Such system must enable the quadrotor to reach the desired attitude as fast as possible without any steady state error. In this paper, an optimal controller is designed based on a Proportional Integral Derivative (PID) control method to obtain stability in flying the quadrotor. The dynamic model of this vehicle will be also explained by using Euler-Newton method. The mechanical design was performed along with the design of the controlling algorithm. Matlab Simulink was used to test and analyze the performance of the proposed control strategy. The experimental results on the quadrotor demonstrated the effectiveness of the methodology used.


Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1898
Author(s):  
Yuan Li ◽  
Muhammad Humayun

This paper suggested a single-phase cross-connected half-bridges multilevel inverter (cchb-mli) topology for static synchronous compensator (statcom) applications. The proposed mli structure consists of cross-connected multilevel cells connected in series with a more optimized number of devices to synthesize a higher number of voltage steps. Each cell in the structure consists of a set of switches and a dc-capacitor. Typically, when several dc-capacitors are used in an inverter, the dc voltages fluctuation occurs due to tolerance between passive element and asymmetric switch losses. A dual-loop control technique has been proposed with level-shifted pulse width modulation pwm to overcome these issues. The proposed methodology balances the dc-voltages using a proportional-integral controller by adjusting the switch duty cycle. The control method helps offset the issue of aggravated fluctuation while preserving the delivered reactive power distributed equally among the dc-capacitors at the same time. A thorough comparison is made between the proposed inverter concerning the number of components and efficiency to demonstrate the effectiveness of previous topologies. Moreover, a simulation model built in simulink and experimental results take from laboratory prototype to confirm the effectiveness of proposed structure and its control technique.


2009 ◽  
Vol 628-629 ◽  
pp. 257-262 ◽  
Author(s):  
Tong Xing

The cutter head drive hydraulic system of φ1.8m simulate shield machine is introduced in this article, which has the variable speed pump control technique and the closed loop control method. The AMESim simulation model of the hydraulic system is built up, and the efficiency of the hydraulic system, speed control performance by open loop and closed loop control are analyzed. The result of the simulation shows that the variable speed pump control system has higher efficiency than the variable displacement pump control system about 4%-26% in the same condition when the cutter head speed is at the range of 0.5-4r/min, and the hydraulic system has good dynamic characteristics in closed-loop PID control.


2013 ◽  
Vol 753-755 ◽  
pp. 1442-1447
Author(s):  
Li Wang ◽  
Dian Hua Zhang ◽  
Jie Sun ◽  
Qiu Jie Chen ◽  
Hua Ding

Elongation control played a vital role for the production of cold-rolled strip. In the production process, especially during tension disturbances or parameter variations, the conventional PID control method can not meet the actual demand well. Therefore, the intelligent control algorithm was introduced in this paper. A fuzzy self-adaptive PID closed-loop control strategy which combines the fuzzy control algorithm with the conventional PID control algorithm was applied to elongation control system. It is proved in the simulation study that the fuzzy self-adaptive PID control system has both high dynamic performance and static performance as well as strong robustness, which can greatly improve control accuracy and anti-jamming capability of elongation control system of the tension leveller.


2013 ◽  
Vol 415 ◽  
pp. 81-88
Author(s):  
Yang Xue ◽  
Yuan Li ◽  
Jia Dong Zhang ◽  
Jing Lin ◽  
Jun Tao Yang

The space vector pulse width modulation (SVPWM), as a new kind of vector control technique, has the advantages of high voltage utilization, less distorted output, simple control method, etc. In this paper, the control technique is applied to three-phase photovoltaic (PV) grid-connected inverter system. It uses double loop control method combined with PI control technique. The simulation model of PV grid-connected inverter system is established in Matlab/Simulink. The simulation results show that the application of SVPWM technique effectively improves the dynamic performance of PV grid inverter system and the THD of grid-connected current is low.


2011 ◽  
Vol 58-60 ◽  
pp. 1194-1199
Author(s):  
Ning Gao ◽  
Li Peng ◽  
Lin Hai Wu ◽  
Jun Jie Jiang

Because of the nonlinear of the cutting motor which is used in hi-frequency straight welded tube process, this paper designs a fuzzy control method used in the speed control system of the cutting motor. Furthermore, simulation test shows the control system that uses the fuzzy controller has better performances than that of the traditional PID control, which improve the dynamic performance, disturbance restraint performance and the steady precision.


Machines ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 274
Author(s):  
Hongdong Gai ◽  
Xuewei Li ◽  
Fangrui Jiao ◽  
Xiang Cheng ◽  
Xianhai Yang ◽  
...  

To improve the control performance of the CNC machine tool feed servo system with nonlinear disturbances, a model reference adaptive control (MRAC) based on PID control is proposed. The method is based on the traditional three-loop control, the output signal of the speed loop controller is used as the input signal of the model reference adaptive controller, and the adaptive law is derived on the basis of Lyapunov stability theory. To verify the effectiveness, this paper analyzed the method through simulation and experiment. Results showed that the following error caused by nonlinear friction was significantly reduced when the speed was reversed, and the influence of noise and mechanical resonance was effectively suppressed. The proposed control method in this paper improves the motion-control accuracy and anti-interference ability of the control system.


2010 ◽  
Vol 426-427 ◽  
pp. 427-431
Author(s):  
C.Y. Ma ◽  
C.L. Wang ◽  
J.H. Liu ◽  
X.B. Li ◽  
R. Liang

The paper analyzed arc suppression coil with magnetic bias compensating system with linear system rules. The nonlinear and time-variable performances are considered during model building process. In order to optimize control effect, the paper adopted improved BP neural network PID controller with closed loop control method. Improve BP neural network with the combination of the two strategies, adding momentum method and adaptive learning rate adjustment, can not only effectively suppress the network appearing local minimum but also good to shorten learning time and improve stability of the network furthermore. The results of simulation and experiments indicate that arc suppression coil based on improved neural network with PID control method can quickly and accurately control the compensating capacitive current to an expected value and it has strong robustness. The paper also provided core controller with software and hardware designing scheme based on STM32 microcontroller.


2014 ◽  
Vol 952 ◽  
pp. 279-282
Author(s):  
Hong Hua Xu ◽  
Li Li ◽  
Hong Yu Zhai

Control system of microcomputer controlled electro-hydraulic servo rock three triaxial test instrument adopts closed loop control and the control strategy is based on PID control. Because the conventional PID control cannot meet the control accuracy and stability of system, the intelligent fuzzy controller is introduced to realize the automatic processing in control process. The fuzzy PID controller's design procedure is given to determine the fuzzy domain, fuzzy rules, calculating the reference method and defuzzification process of membership function.


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