Hierarchical Optimal Contour-Position Control of Motion Control Systems

Author(s):  
Robert G. Landers ◽  
S. N. Balakrishnan

Contour control is critical in many motion control systems (e.g., manufacturing, robotics). A contour control algorithm is implemented in many applications to drive the contour error to zero; however, the additional algorithm significantly increases the complexity of the overall control system. In this paper, a hierarchical optimal control methodology is developed to design a single servomechanism control system capable of simultaneously driving contour error and individual servomechanism position errors to zero. The designer can systematically trade-off the importance of contour error and servomechanism position errors without the increased complexity of an additional algorithm. The methodology is applied to a two-axis motion control system and simulation studies are conducted for linear, circular, and elliptical contours. The results demonstrate the excellent tracking ability of the proposed motion control methodology and its utility for complex contours.

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 747
Author(s):  
Mai The Vu ◽  
Tat-Hien Le ◽  
Ha Le Nhu Ngoc Thanh ◽  
Tuan-Tu Huynh ◽  
Mien Van ◽  
...  

Underwater vehicles (UVs) are subjected to various environmental disturbances due to ocean currents, propulsion systems, and un-modeled disturbances. In practice, it is very challenging to design a control system to maintain UVs stayed at the desired static position permanently under these conditions. Therefore, in this study, a nonlinear dynamics and robust positioning control of the over-actuated autonomous underwater vehicle (AUV) under the effects of ocean current and model uncertainties are presented. First, a motion equation of the over-actuated AUV under the effects of ocean current disturbances is established, and a trajectory generation of the over-actuated AUV heading angle is constructed based on the line of sight (LOS) algorithm. Second, a dynamic positioning (DP) control system based on motion control and an allocation control is proposed. For this, motion control of the over-actuated AUV based on the dynamic sliding mode control (DSMC) theory is adopted to improve the system robustness under the effects of the ocean current and model uncertainties. In addition, the stability of the system is proved based on Lyapunov criteria. Then, using the generalized forces generated from the motion control module, two different methods for optimal allocation control module: the least square (LS) method and quadratic programming (QP) method are developed to distribute a proper thrust to each thruster of the over-actuated AUV. Simulation studies are conducted to examine the effectiveness and robustness of the proposed DP controller. The results show that the proposed DP controller using the QP algorithm provides higher stability with smaller steady-state error and stronger robustness.


2012 ◽  
Vol 459 ◽  
pp. 75-78
Author(s):  
Lian Jun Hu ◽  
Xiao Hui Zeng ◽  
Gui Xu Chen ◽  
Hong Song

An automatic control system for multi-axes motions based on multi-CPU embedded systems is proposed in the paper, in order to overcome insufficiencies of available multi-axes automatic dispensing control systems. It is shown from experimental results that expected control objectives for multi-axes motions are achieved.


2012 ◽  
Vol 19 (Special) ◽  
pp. 25-30 ◽  
Author(s):  
Janusz Pomirski ◽  
Andrzej Rak ◽  
Witold Gierusz

ABSTRACT The paper presents software environement for fast prototyping and verification of motion control systems for ship. The environement is prepared for isomorphic reduced ship model which is used for training and in research in a area of ship motion control. The control system is build using Matlab-Simulink-xPC package which simplifies and accellerates design and verification of new control algorithms. The systems was prepared also for Hardwarein- the-loop trials when a designed control system is tested inside a virtual environment instead of real actuators, disturbances, communication and measurement devices.


1991 ◽  
Vol 113 (3) ◽  
pp. 451-457 ◽  
Author(s):  
Hua-Yi Chuang ◽  
Chang-Huan Liu

Cross-coupled controllers have been proposed for improving contouring accuracy of multiaxis machine tools. However, during cross-coupled motion control, increasing contour feedrate may result in larger contour errors. In order to increase feedrate and hence productivity without sacrificing the contouring performance, this paper presents an adapative feedrate control strategy based on a linear perturbed model. The method effectively closes the feedback loop between the contour error and feedrate. An experimental biaxial control system is constructed to implement the proposed strategy. Both computer simulation and experiments have verified that desired contouring accuracy can be achieved.


2014 ◽  
Vol 926-930 ◽  
pp. 1289-1292
Author(s):  
Cong Qiu ◽  
Wang Yong He ◽  
Bo Tian

AC servo system has been widely used in many fields with its high performance and the fast development of intelligent control strategy. Targeted at the single-axis motion control applications in industrial automation, a kind of single-axis motion control system, based on FM354 controlled by S7-300 PLC, is designed. The system consists of three to the position, speed and current closed-loop control to achieve precise position control. The position loop is implemented by FM354. The speed loop and current loop are encapsulated in the servo driver. Through monitoring and comparing the dynamic performance with traditional systems, it can find out the bench runs smoothly and positioning accurately, perfectly meeting the technological and application requirements. It also can be applied to a variety of occasions and used for multi-axis extension.


1996 ◽  
Vol 8 (3) ◽  
pp. 217-217
Author(s):  
Kiyoshi Ohishi ◽  

The special issue on Control Systems in Mechatronics is a significant and timely issue since many robotics and mechatronics engineers now pay attention to the research field of motion control and control theory. In Japan, advanced motion control technology is a key technics to improving the performance of robot systems and/or mechanical automation equipment. The definition of motion control in this issue is the control of mechanical systems driven by electrical actuators such as a do servo motor or an ac servo motor. The means or strategy of motion control has so far been of interest only to electrical engineers and mechanical engineers; it has not been as familiar to robotics engineers. Recently, a control system has been developed with industry applications. Advanced motor control technology in Japan is based on the robust control system, such as the disturbance observer, the H00 control system, the two-degrees-of-freedom control system and so on. The disturbance observer has a simple structure, and it is quite valid for disturbance torque rejection. The robust control system based on the disturbance observer is now widely used in robot and mechanical systems in Japan. The disturbance observer is the original Japanese technology designed by two electrical engineers, Prof. Ohnishi and myself, from the viewpoint of the electrical actuator but control theory. Ho control is linear control technics popular around the world. It can make the desired loop shaping of frequency characteristics for a plant system such as the actuator of a mechanical system. The robust control system based on the mixed sensitivity problem of H00 control theory has good frequency characteristics. Moreover, the availability of large amounts of computational power has enabled us to use complex control theory, and actuators for robotics applications are now mainly electrical ones because of the remarkable progress in power electronics. This change in the control of mechanical systems is a new and attractive one. Motion control is becoming a field of interest to control, electrical, and mechanical engineers who work in robotics. In this issue, the eight papers and the two news reports have been selected to show the current topics concerned with control systems in mechatronics. The first paper is a review paper titled ""robust motion control by the disturbance observer"". Prof. Ohnishi describes the physical meaning of motion control and the purpose of robust control. This review paper also shows the effectiveness of motion control based on the disturbance observer. Four papers in this issue deal with robot motion control systems using the disturbance observer. Mr. Oda explains the decoupling force control method of redundant robot manipulation by workspace disturbance observer which is not a joint space disturbance observer such as an ordinary disturbance observer. Dr. Komada explains the hybrid position/force control method based on second derivatives of position and force, which uses the force-based disturbance observer. Dr. Shimada explains the servo system considering a robot of low stiffness, which is based on the disturbance and velocity observer. This observer is mounted with each joint. Prof. Kuroe explains the decoupling control method of robot manipulation using a variable structure disturbance observer which is not an ordinary linear disturbance observer. The other three papers in this issue deal with robot motion control using the other advanced control system. Prof. Ohishi, myself explains the hybrid position/force control method without a force sensor, which is based on H00 acceleration controller and torque observer. This torque observer is the same observer as the ordinary disturbance observer. Mr. Fujimoto explains the three dimensional digital simulation of legged robots for advanced motion control. Mr. Kang explains the state estimation for mobile robots using a partially observable Markov decision process. This method can estimate the mobile robot state precisely and robustly. The two news reports in this issue deal with control and robot laboratory news from Japanese universities such as news generated by Prof. Hori of the University of Tokyo and Prof. Hori of Mie University. Both Prof. Horis are famous and active researchers in advanced motion control. This issue scans only one aspect of control systems, not the whole. Adaptive control, learning control, and other advanced control methods such as the LMI method are not mentioned. The subject of control systems in mechatronics is now expanding and developing. I greatly appreciate the efforts of the reviewers and authors in producing this issue, and I thank the Chief-Editor, Prof. Toshio Fukuda, for encouraging us to prepare it.


2014 ◽  
Vol 599-601 ◽  
pp. 1128-1134
Author(s):  
Xiang Hui Zhang ◽  
Zhan Wen Sun ◽  
Jin Zhao ◽  
Hua Dong Yu

To achieve the control of movement speed stability and location accuracy of two-dimensional motion platform, considered the movement characteristics of sliding table drive motor, a motion control method based on servo motor encoder feedback signal is proposed in this paper. By using real-time emulation platform of XPC target and related peripheral circuit, completed the construction of the motion control system. By analyzing the experimental data, proved the two-dimensional motion platform control system based on xPC target operation stable, meet the position control accuracy, motion response rapidly, and easy to adjust the control parameters requirements, and own high engineering practical value.


2018 ◽  
Vol 2 (2) ◽  
Author(s):  
Farzin Asadi

Abstract: A DC motor is the most widely used actuator in the industry, especially for robotic applications such as position control of robot manipulators.  When  motor  is  used  in  high performance close loop motion control systems, an accurate model of motor is required for control system design [1,2] . Mathematical description of DC motor is divided into two subsystems :Electrical and mechanical subsystems. Electrical subsystem of a DC motor is simple. It consist of a resistor, an inductor and a back-EMF source. Nowadays , digital RLC meters can be found in nearly all labs. This paper study the reliability of model obtained by using a digital RLC meter. Results shows that although RLC meters can measure impedances easily and quickly ,   obtained values are not precious because RLC meter’ s  output current is in the range of mA while motor works with several Ampers.


2020 ◽  
Vol 4 ◽  
pp. 38-50
Author(s):  
Dmitry Antonov ◽  
Leonid Kolganov ◽  
Aleksey Savkin ◽  
Egor Chekhov ◽  
Maxim Ryabinkin

Autonomous underwater vehicles (AUVs) are widely used and have proven their effectiveness in tasks such as transportation safety, area monitoring and seafloor mapping. When developing AUV’s navigation and control systems, the engineers have to ensure the required levels of accuracy and reliability for solving navigation and motion control tasks in autonomous underwater operation under restrictions on the overall dimensions and power consumption of the AUV. The main purpose of this paper is to present preliminary results of AUV navigation and motion control systems development. The AUV’s navigation system is built around strapdown inertial navigation system (SINS) designed specifically for this AUV. When surfaced, position and angular SINS correction is performed using data from dual-antenna GNSS receiver and doppler velocity log (DVL). When underwater, SINS position and velocity correction is performed using acoustic navigation system (ANS) and DVL data. AUV’s control system provides manual and automatic control. Manual control is carried out in real-time by operator via fiber-optic cable using a joystick. Automatic control allows AUV to move independently along a specified trajectory at a given depth and speed. The AUV also has a collision avoidance system that utilizes readings from a forward-facing acoustic rangefinder to estimate time before impact based on AUV’s analytic model. If possible collision is detected, information is transmitted to the control system so that a further appropriate action can be taken. Computer simulation utilizing the analytic AUV model was used in order to check the performance characteristics of the designed control and navigation algorithms. After confirming the operability of the developed algorithms, preliminary tests of the AUV were carried out. During the tests, AUV’s on-board equipment and navigation system readings were recorded and compared to the readings of the reference system, which was also installed on the AUV. During the tests, the dynamic characteristics of the AUV were evaluated. AUV’s characteristics obtained during simulation and testing will be used as a reference during future development


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