Control of Linear Motors for Machine Tool Feed Drives: Experimental Investigation of Optimal Feedforward Tracking Control

1998 ◽  
Vol 120 (1) ◽  
pp. 137-142 ◽  
Author(s):  
David M. Alter ◽  
Tsu-Chin Tsao

This paper investigates the use of optimal l1 and H∞ model reference optimal feedforward control to enhance the tracking performance of a linear motor drive. Experimental work is presented which studies the effects of signal preview, tracking constraint, and reference model choice on tracking performance. Suboptimal l1 control where the closed-loop system has a zero on the unit circle due to integral action in the feedback controller is given special attention, and is seen to give near optimal performance for the system under study here. For the specific trajectory employed here, the best performing feedforward controllers were experimentally seen to reduce by more than half the maximum and rms tracking errors of the H∞ optimal feedback closed-loop systems.

2012 ◽  
Vol 466-467 ◽  
pp. 1402-1406 ◽  
Author(s):  
Li Li ◽  
Fu Chun Sun

We will propose a kind of new controller for the nonlinear singularly perturbed system with immeasurable states on the basis of the Fuzzy Singularly Perturbed Model (FSPM). An observer is designed to approximate the immeasurable tracking errors. Two-step approach and Schur theory are used to solve Bilinear Matrix Inequation(BMI) to achieve the gains of the controller and the observer. It can make the states of the plant to follow those of the stable reference model. Lyapunov constitute techniques can be used to prove the stability of the closed-loop systems. Finally the simulation is offered to illustrate the effectiveness of the proposed approach.


1996 ◽  
Vol 118 (4) ◽  
pp. 649-656 ◽  
Author(s):  
D. M. Alter ◽  
Tsu-Chin Tsao

Direct drive linear motors have good potential for use as next generation machine tool feed drives since they can increase machining rates and improve servo accuracy by eliminating gear related mechanical problems. To exploit the high speed and high response direct drives for machining, the servo control must achieve as high as possible tracking performance while at the same time establishing as much as possible the dynamic stiffness in order to maintain machining stability and reduce the effect of machining disturbance forces on the tool position. This paper investigates the use of optimal H∞ control to design for large stiffness and closed-loop tracking performance. Position feedback alone is first considered, with cutting force feedback later added to augment closed loop stiffness. Optimal position feedback is experimentally seen to achieve up to a 46 percent stiffness improvement over that achievable with proportional-derivative control. The addition of force feedback to the servo-loop resulted in a further 70 to 100 percent stiffness improvement over the position feedback alone values.


Author(s):  
Jianhua Wu ◽  
Chao Liu ◽  
YongJiang Liu ◽  
Zhenhua Xiong ◽  
Han Ding

Linear motors are promising in improving the manufacturing equipments’ performance because of eliminating the flexible coupling component. However, the force ripple produced by the linear motors directly causes the feed fluctuation and thus degrades the motion precision. This article utilizes a feed-forward controller added to the feedback one to compensate its effect for the sake of simplicity and robustness. Considering that the force ripple is periodic to the position, a position-dependent multi-order harmonic model is built and used as the feed-forward controller. In order to obtain the controller parameters for various applications, an iterative tuning method is proposed. This method has the advantage that both the high performance for different trajectories tracking and the robustness to disturbances are guaranteed. Experiments on a linear motor illustrate that the parameters converge rapidly. The results show that the tracking performance is improved greatly and the tracking errors are reduced by 60% at least.


2016 ◽  
Vol 28 (5) ◽  
pp. 707-714 ◽  
Author(s):  
Yoshihiro Matsui ◽  
◽  
Hideki Ayano ◽  
Shiro Masuda ◽  
Kazushi Nakano ◽  
...  

[abstFig src='/00280005/13.jpg' width='300' text='VRFT model matching problem with prefilter F(z)' ] Prefilters for Virtual Reference Feedback Tuning (VRFT) in the time domain are realized by the least-squares method with step reference response data acquired from the closed-loop system to be tuned and are used to obtain controller parameters for making closed-loop systems as close as possible to the desired reference model. The usefulness of this proposal is shown in numerical examples in which fifth-order and PID controllers for a flexible transmission system are tuned by VRFT with prefilters.


2012 ◽  
Vol 2012 ◽  
pp. 1-13
Author(s):  
Huxiong Li

The tracking problem for continuous-time systems is investigated. It is assumed that the states of the systems are not available. An observer is firstly designed to estimate the states by using theℋ∞method. The control action is consist of a state-feedback control, an integral component, and a feedforward loop. The linear-matrix-inequality region is used to constrain the eigenvalue location for the closed-loop systems. The control gains can be obtained by solving a sequence of linear matrix inequalities (LMIs) which can guarantee the mixedℋ2/ℋ∞performance for the closed-loop systems.


2015 ◽  
Vol 763 ◽  
pp. 110-119 ◽  
Author(s):  
Viacheslav Pshikhopov ◽  
Mikhail Medvedev ◽  
Victor Krukhmalev ◽  
Victor Shevchenko

Problem of a mobile object positioning in the presence of determinate disturbances is considered in this paper. A mobile object is described by kinematics and dynamics equations of a solid body in three dimensional space. The control inputs of the mobile object are forces and torques. Design of adaptive control is based on position-path control method for mobile objects. In this article two algorithms of the adaptive position-path control are developed. The first algorithm is adaptive position-path control with integration component and a reference model. The second algorithm is adaptive position-path control with a reference model and an extended mobile robot model. Block diagram of the direct adaptive position-path control system with a reference model is suggested. Design procedures of the adaptive position-path control systems and stability analysis of the closed-loop systems are presented. Computer simulation results of the designed adaptive closed-loop systems with both constant and variable disturbances are presented. On base of the analysis and modeling results conclusions are provided.


Actuators ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 128
Author(s):  
Zongxia Jiao ◽  
Yuan Cao ◽  
Liang Yan ◽  
Xinglu Li ◽  
Lu Zhang ◽  
...  

Linear motors have promising application to industrial manufacture because of their direct motion and thrust output. A permanent magnetic linear oscillating synchronous motor (PMLOSM) provides reciprocating motion which can drive a piston pump directly having advantages of high frequency, high reliability, and easy commercial manufacture. Hence, researching the tracking performance of PMLOSM is of great importance to realizing its popularization and application. Traditional PI control cannot fulfill the requirement of high tracking precision, and PMLOSM performance has high phase lag because of high control stiffness. In this paper, an advancing motivation feedforward control (AMFC), which is a combination of advancing motivation signal and PI control signal, is proposed to obtain high tracking precision of PMLOSM. The PMLOSM inserted with AMFC can provide accurate trajectory tracking at a high frequency. Compared with single PI control, AMFC can reduce the phase lag from −18 to −2.7 degrees, which shows great promotion of the tracking precision of PMLOSM. In addition, AMFC will promote the application of PMLOSM to other working conditions needing high frequency reciprocating tracking performance and give PMLOSM greater future prospects.


2016 ◽  
Vol 2016 (4) ◽  
pp. 8-10 ◽  
Author(s):  
B.I. Kuznetsov ◽  
◽  
A.N. Turenko ◽  
T.B. Nikitina ◽  
A.V. Voloshko ◽  
...  

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