Mitsubishi Servo Configuration Software Download
Dominque Janoff
This function displays "Absolute encoder data" and "Motor rotations No." calculated based on the home position saved in the servo amplifier. The difference between the encoder data from the servo motor and the actual machine position can be checked during startup work.
mitsubishi servo configuration software download
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The Servo amplifier life diagnosis function displays cumulative operation time and on/off times of inrush relay, providing an indication of replacement time for servo amplifier parts such as capacitors and relays.
The model MR-J2-60CT is a general-purpose AC servo drive module, also known as a servo amplifier, designed and developed by Mitsubishi. The servo drive has built-in positioning functions that can be configured from single-axis to 32-axis systems. The single-axis positioning system uses external I/O signals for communication purposes, whereas the RS-422 serial interface is used in the multi-drop operation. A nameplate containing the model number, drive capacity, output power, suitable power supply, and serial number is attached to the right side of the AC servo drive.
The heat generated by the MR-J2-60CT servo drive is 40 W (at rated toque) and 15 W (with servo off). To provide protection against overload, an electronic thermal relay is installed in the servo drive. The model comes with a 10 W built-in regenerative resistor to dissipate the excessive energy generated during braking. The SF1252 EMC filter with 38 mA leakage current is recommended for this servo amplifier. Only use company-recommended products for ideal performance. Consult the user manual for complete wiring and connections detail.
The MR-J2-60CT servo drive can operate ideally under the ambient temperature range of 0 to +55 C. The ideal storage temperature for this module is -20 to +65 C, under the maximum relative humidity of 90% (non-condensing). The servo amplifier can be installed at the maximum altitude of 1000 meters above sea level, without reducing rated efficiency.
Ensure that the installation area is free from dust, oil mist, and other reactive elements. Due to its low protection category (IP00), the MR-J2-60CT servo drive should be installed vertically into the closed control cabinet of at least IP54 protection. The unit weighs around 1.1 kg. During the installation of a single servo drive, leave adequate clearance at the sides (10 mm), top (40 mm), and bottom (40 mm) for sufficient airflow. If you plan to install two or more servo drives in a control box, then make sure to leave the following minimum clearances; 100 mm at the top, 40 mm at the bottom, 30 mm at the sides, and 10 mm at the bottom in between the two modules. A fan must be installed to control the internal temperature of the control box.
A lithium battery with approximately 10,000 hours of service life is placed in this module for absolute data backup. A seven-segment four-digit LED display is installed on the front panel of the servo unit to show the alarm number and operating status. For manual configuration, four keys (mode, up, down, and set) are provided at the bottom of the display. Several other parts of the MR-J2-60CT servo drive include I/O signal connectors (CN1A, CN1B), encoder connector (CN2), communication connector (CN3), terminal blocks (TE1, TE2, and PE), and charge lamp.
The servo amplifier can be configured using the Servo Configuration software on a personal computer. Configuration can be performed via communication functions (RS232C/RS422). You can find the complete configuration detail in the MR-J2-60CT user manual.
GX Works3 is the programming and configuration software for iQ-F and iQ-R controllers. Following the goal of maximum efficiency, GX Works3 conforms to IEC61131-3 standards, allowing developers to mix and match between five different programming languages and save parts of projects in libraries for use within future applications.
iQ Works is a comprehensive software suite that enables intuitive programming and setup of any Mitsubishi Electric system, including network configuration, PLC programming, motion controller and servo setup, GOT screen design, and robot configuration. Simulators and label sharing are also integrated to simplify cross-discipline engineering and troubleshooting. The highly graphical and fully customizable workspace provides a user-friendly interface with full visibility and control over the entire system.
The servo-controlled guns, from Obara Corporation in Japan, were selectedbecause it was impossible to access parts of the body-in-white (BIW) shellstructure of the new XF luxury sports saloon using conventional bulky pneumaticspot welding guns.
At present, only four servo-controlled guns are in use in the XF BIWproduction line at Castle Bromwich. But, it is expected that both Jaguar andLand Rover could make greater use of these guns as new models are developed.
Over 1,000 servo-controlled spot welding guns are in use in the UK motorindustry; 400 are in the plant of Toyota Motor Manufacturing at Burneston,Derbyshire, UK and a similar number are at Nissan Motor UK in Washington, onTyneside. Honda at Swindon, also in the UK, is beginning to use servo-controlledspot welding guns. General Motors is also studying their use.
A typical transformer on a servo guns weighs in the region of 35kg; the aimis to reduce this to around 10kg. These lighter guns will enable processengineers to install lighter weight robots, typically moving down from a 180kgmachine to a 160kg robot. These lighter weight robots are also cheaper. KawasakiRobots and Nachi supply most of Toyota's robots in the UK.
Conventional pneumatic guns have an operating cylinder to provide theone-stop motion for spot welding. In the servo design, a servomotor connecteddirectly to a driver unit replaces the cylinder, controlling speed, pointpressure and stroke. The servo offers a more flexible approach to spot welding.
In addition to their energy-saving attributes, servo-controlled guns are muchmore precise in their operation. The servo does not punch the joint, but offersa soft touch for the last few millimetres of stroke before squeezing at thepoint of contact. This action brings a 50 percent saving in consumables.
Jaguar engineers could extend their use of servo-controlled spot welding gunswhen they implement new cells for the upgrade of the XJ aluminium- intensivesaloon, dubbed X351. Due in 2009, this will extend aluminium spot welding inplace of self-piercing rivets.
Barr & Paatz despatched its Senior Robot Engineer, Steve Gould, to BrassProducts' premises in Kent, in order to study the application and makerecommendations based on the required throughput and geometry of the availableworkspace. The extremely limited operating envelope and the need to replicatethe motion of a human hand, dictated a six-axis robot configuration, with itsrotating wrist joint and capacity to twist and tilt workpieces; taking intoaccount the high-speed process, small installation footprint and modest payload,Barr & Paatz specified one of the newly available Mitsubishi RV Seriesrobots, which has six degrees of freedom. Exploiting its engineering heritage,Brass Products itself sourced appropriate end of arm tooling and manufacturedthe gripper fingers that hold the brass nuts, while Barr & Paatz providedspecialist on-site training.
All frequency inverters feature simple operation and configuration and optimised control and data management facilities. The integrated control terminals, the one-touch digital dial and the multi-language control panel with copy function provide instantly-comprehensible information on current drive status and clear error message displays.
Different techniques have been implemented in order to interpret the information from these sensors for their application in the robot controller. Visual servoing techniques are usually applied to guide robots using information registered by cameras. However, robotic systems based on visual servoing suffer from occlusions, particularly in manipulation tasks where the robotic tool may block the line of sight between the camera and the object to be manipulated. In order to overcome this drawback, this paper proposes to use an additional mini-robot, which is installed at the end-effector of the robotic manipulator, as shown in Figure 1. The camera is installed at the end of this mini-robot, so that the camera can be moved independently to avoid occlusions caused by the robotic manipulator. This camera can be used to control the movements of both robots by considering its view of the object to be manipulated. On the one hand, the mini-robot is guided by employing a direct visual servoing control, which obtains the forces and torques to be applied to each joint of the robot in order to perform the desired task. This robot controller only takes into account the visual information of the object obtained from the camera of the mini-robot and does not consider the position of the human operator. This paper extends the previous direct visual control with a novel hybrid approach which uses the human-robot distance computed by the human tracking system in order to avoid collisions between any human who may enter the workspace and the mini-robot. On the other hand, the robotic manipulator is controlled by a Reference Virtual Camera (RVC) which simulates the use of an eye-in-hand camera from the images registered by the camera of the mini-robot.
In order to implement the manipulation of the object, this paper proposes the use of a robotic hand installed at the end-effector of the robotic manipulator (see Figure 1). This paper presents a novel tactile controller which takes into account the pressure information obtained from several tactile sensors installed over the fingers of this robotic hand. This tactile controller guarantees that a stable grasp of the object is kept while the fingers of the hand are moved to drive the object to a desired configuration.
Classical image-based visual servoing systems assume that the robot is a perfect positioning device. This type of control does not take into account the system dynamics, which is not suitable when the robot executes fast and/or accurate movements. As mentioned in [5], until the mid 90s, few proposed visual-based controllers took into account the non-linear dynamic robot-arm model. During the last 15 years, the research trend in this field has continued to be the same: controllers are designed with the assumption that the robot is a perfect positioning device without dynamics. By means of direct visual servo, the internal control loop of servo motors is removed, so that the visual servo control has to stabilize the robot. One of the first research works about direct visual servo control was the one developed in [6]. The controller proposed by Miyazaki and Masutani was based on the transpose Jacobian approach, which is a method implemented for the first time by Takegaki and Arimoto [7]. However, in this approach, the visual system was modelled as a simple rotation transformation, without taking into account the robot translation. Kelly and Márquez [8] implemented a more accurate camera-robot system model than the one proposed in [6]. This method solves the problem of the need to obtain the intrinsic parameters of the camera, but it requires accurate of its orientation. This problem is solved in [5], where the controller proposed in [8] is improved to consider the generated uncertainty for the camera orientation and thus, local asymptotic stability is achieved. During the first decade of the 21st century, adaptive control theory has been studied in depth, which allows solving the errors of the dynamic parameters estimation. This way, Zergeroglu et al. designed an adaptive controller which takes into account the estimation uncertainty of the camera-robot parameters [9]. In 2008, Wu and Li developed another adaptive controller which estimates the extrinsic and intrinsic parameters of the camera by considering a dynamic model of the robot [10]. In this field, the research of Wang et al. [11] is worth mentioning, in which the authors solve the visual control of a three d.o.f. robot by using an adaptive algorithm that updates, in each iteration, the distance value between the camera and the object. Thereby, this method obtains a distance-independent interaction matrix. Only a few works about direct visual servo include an image-based visual control approach, and neither of them permits to divide the space using a hybrid approach as presented in this paper.
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