The Application and Research of the Fuzzy Control in the Servo System for Milling Machines

2011 ◽  
Vol 211-212 ◽  
pp. 11-15
Author(s):  
Xiao Dong Tan ◽  
Xin Liu ◽  
Chen Bao Liu ◽  
Ke De Zheng

Using the Fuzzy PID’s control method into the servo control system and the PID parameters can be adjusted real-time according to the simulation results, which corrects the system. Increasing the adaptabilities for the parameters’ real-time changings to improve the controlled object’s steady and dynamic performance, the system’s control precision and the capability of anti-jamming. With the help of MATLAB's FUZZY toolbox, the system’s control performance is tested in the aspects of system modeling and simulation.

2013 ◽  
Vol 415 ◽  
pp. 250-255
Author(s):  
Chun Tong Liu ◽  
Yang Zhang ◽  
Zhen Xin He ◽  
Bing Li

The design of DC servo control system for focus motor is an important part to realize the electronic theodolites auto-focusing. Focus motor is seriously influenced by various disturbances, such as friction and torque fluctuation, in frequently reversing process. It is difficult to accurately locate. To solve these problems, a DC motor control method was put forward which combined the integral separation PID and disturbance observer. Based on the three closed-loop DC servo system, the integral separation PID controller was taken in position loop, in order to eliminate static error and improve the control precision. The methods of motor trajectory planning were analyzed, the 4-5-6-7 interpolation trajectory planning was used to decline or prevent the start-stop impact and oscillation. The effectiveness of the control strategy was verified by comparative simulation experiment. The robustness anti-disturbance and location precision performance is improved significantly.


2013 ◽  
Vol 380-384 ◽  
pp. 347-352
Author(s):  
Xun Sun ◽  
Xin Guo Zhang

An UAV autonomous aerial refueling (AAR) control method is approved in this paper. The flight controller is composed of predictor and auto disturbances rejection control (ADRC). In order to improve the control precision in the capture phase, the kalman filter method is used to predict the next step position. Considering the turbulent flow and the mass changing in the capture and hold phase, ADRC method is used to design the inner loop controller. In order to improve the design efficiency, the parameters of the ADRC are optimized by PSO-Immune algorithm. The simulation results show that the autonomous aerial refueling controller has excellent control performance and high robust ability.


2013 ◽  
Vol 846-847 ◽  
pp. 313-316 ◽  
Author(s):  
Xiao Yun Zhang

This paper presented a new method based on the Fuzzy self - adaptive PID for BLDCM. This method overcomes some defects of the traditional PID control. Such as lower control precision and worse anti - jamming performance. It dynamic model of BLDCM was built, and then design method for TS fuzzy PID model is given, At last, it compared simulation results of PID control method with TS Fuzzy PID control method. The results show that the TS Fuzzy PID control method has more excellent dynamic antistatic performances, as well as anti-jamming performance. The experiment shows that TS fuzzy PID control has the stronger adaptability robustness and transplant.


Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Min Zheng ◽  
Tangqing Yuan ◽  
Tao Huang

In order to guarantee the passivity of a kind of conservative system, the port Hamiltonian framework combined with a new energy tank is proposed in this paper. A time-varying impedance controller is designed based on this new framework. The time-varying impedance control method is an extension of conventional impedance control and overcomes the singularity problem that existed in the traditional form of energy tank. The validity of the controller designed in this paper is shown by numerical examples. The simulation results show that the proposed controller can not only eliminate the singularity problem but can also improve the control performance.


2014 ◽  
Vol 687-691 ◽  
pp. 367-370
Author(s):  
Dong Xu Zhu ◽  
Hui Jun Xie ◽  
Xin Rong Wang

Aimed at rejecting the disturbance for Ship-borne Servo Control System, using the ADRC method to improve the disturbance rejection ability of system. And the model is validated by PID, the simulation results show that the anti-interference ability could be improved by of ADRC method, and the controller has engineering function and prospect.


Author(s):  
Lixian Zhang ◽  
Xiao-shan Gao ◽  
Hongbo Li

In this paper, a multi-period turning interpolation algorithm, with real-time look-ahead scheme based on S-curve control method, is presented. In this interpolation algorithm, the geometric precision and the dynamic performance are both satisfied. The machining efficiency is improved by multi-period turning transition, and the precision is also improved by S-curve control method. The computational efficiency of this algorithm meets the need of real-time machining. In addition, there is no accumulated error. At last, this algorithm is verified the validation by the experiments on 3-axis CNC machine.


2011 ◽  
Vol 317-319 ◽  
pp. 1960-1963
Author(s):  
Li Bing Zhang ◽  
Ting Wu

This paper presents a technique for the position servo system of numerical control (NC) machine tool by utilizing the optimal quadratic controller. The mathematical model of the position servo control system is structured, which of the plant model is identified by making use of recursive least square method. The fundamental method of designing the optimal quadratic controller is proposed. Simulation of the optimal quadratic controller and PID controller are implemented by using MATLAB. The results of simulation show that the proposed control method of positional servo control system has better dynamic characteristics and better steady performance.


Author(s):  
Kun Cao ◽  
Wanhua Zhao ◽  
Hui Liu ◽  
Xiaojun Yang ◽  
Jun Zhang

The feed motion dynamic precision is determined by the properties of the CNC system, the servo control system and the mechanical structure. The Acceleration/Deceleration Control (ADC) in CNC system is widely used to smooth the motion trajectory, so as to reduce transient error caused by vibration. The performance of various ADC algorithms differ significantly, which indicates the importance of developing more effective ADC algorithm. In this paper a novel ADC algorithm called “Asymmetric Double S-shape type Algorithm” is introduced and validated by detailed mathematic deduction, and then its dynamic performance is compared with that of traditional ADC algorithms in both the time domain and frequency domain. The analytical and simulation results demonstrated that, the proposed novel ADC algorithm has notably advantage over the traditional ones in reducing the tracking error in both transient state and steady state, hence is capable of fundamentally improving the feed motion dynamic precision.


2014 ◽  
Vol 625 ◽  
pp. 717-721 ◽  
Author(s):  
Qin Zhang ◽  
Jian Hua Wang ◽  
Wei Jun Huang ◽  
Hisayuki Aoyama

The adjustment of cell position and orientation is important in cell micromanipulation of bioengineering, which directly affects the efficiency and success ratio of the micromanipulation. Cell orientation can be adjusted by swirl, which comes from a pair of parallel opposite micro-fluids from two tiny tubes, and the cell in swirl center will rotate. Quantitative control of rotation angle and velocity of the cell can be achieved by adjusting the velocity and frequency of micro-fluid. This control method of cell orientation has prospective applications for its non-contact characteristics. However, cell will not be right in the swirl center in practical operations. And if the eccentric cell can rotate steadily, swirl method will be more reliable. So numerical simulation was conducted to study the movement trajectory of cells with eccentricity, and the influences of eccentric directions and eccentric distances were discussed. The simulation results indicate the feasibility of orientation control of cells with eccentricity by swirl.


Processes ◽  
2018 ◽  
Vol 7 (1) ◽  
pp. 11 ◽  
Author(s):  
Shizhe Li ◽  
Yinsong Wang

The primary frequency modulation (PFM) performance of a power control system (PCS) is an important factor affecting the security and stability of a power grid. The traditional control method is proportional integral (PI) control. In order to improve its dynamic control performance, a control method based on the combination of internal model control (IMC) and PI is proposed. Using the method of theoretical assessment and system identification, a simple simulated model of the typical PCS is established. According to the principle of system identification and the least square estimation (LSE) algorithm, the mathematical models of a generator and a built-in model are established. According to the four dynamic performance indexes, the main and auxiliary assessment index of the PCS are defined, and the benchmark and the result of the performance assessment are given. According to three different structures, the PFM dynamic performance of the PCS is analyzed separately. According to the dynamic performance assessment index of PFM, the structure of the control system and the influence of different parameters on the performance of the PCS are analyzed under ideal conditions. The appropriate control structure and controller parameters are determined. Secondly, under the non-ideal condition, the influence of the actual valve flow coefficient on the performance of the control system is studied under two different valve control modes. The simulation results show that the internal model combined with PI has better dynamic control performance and stronger robustness than the traditional PI control, and it also has better application prospects for thermal power plants.


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