Kalman filter based calibration of precision motion control

نویسندگان

  • Steven C. Venema
  • Blake Hannaford
چکیده

A method is described and validated for the automatic calibration of analog sine-wave quadrature sensors, such as optical encoders, embedded in a functioning system. The algorithm uses a Kalman filter to estimate the true position of the direct-drive actuated joint using a model of it's dynamics, an applied actuator command, and measurements from the uncalibrated sensor. From the estimated true position, a lookup table is constructed which corrects sensor errors. Our results indicate that this method achieves accuracies typical of interferometric calibration , without requiring an external measurement device. The accuracy is surprisingly robust to modeling errors. The need for precision position sensors is driven by a variety of industries that require precision motion. Typically , a rotary electromagnetic motor actuates either a rotary or linear motion stage using some sort of gearing arrangement. If the gearing ratio between the motor and the motion stage is high, then a relatively low resolution rotary position sensor at the motor will result in high resolution motion measurements at the motion stage. New technological demands in diverse fields, such as multi-chip semiconductor modules and biomedical genetics research, have motivated the development of small, direct-drive motion systems with very high positioning resolution. The lack of gearing in these systems implies that higher resolution position sensors are needed to achieve the higher positioning precision. Sensors with analog quadrature outputs are of particular interest for high-precision positioning because their analog nature allows a degree of interpolation between the quadrature phases. However, this type of sensor suffers from nonlinear effects which are difficult to calibrate out. A new technique for the in-situ calibration of analog quadrature position sensors is developed in this paper. The analog rotary incremental optical encoder is used to test this technique; however the calibration technique is applicable to many other analog quadrature sensors. The two analog encoder outputs, called may be approximated as quadrature-phase sinusoids which are periodic with the encoder disk line interval. If we define a normalized intra-line distance, , over the interval , then this ideal encoder output model may be a b , () τ 0.5 0.5 , – [) expressed as (1) The intra-line position, , may be inferred from the encoder outputs by solving (1) for : (2) where atan2 (the two argument arctangent function) is used to avoid quadrant ambiguity when estimating from. In a typical digital control system using an analog encoder, the analog encoder …

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Interconnected maximum likelihood estimator and extended Kalman filter for inertial measurement unit calibration fusing three-dimensional camera information

This article presents a method for calibration of inertial sensors (gyroscopes and accelerometers). In the proposed selfcalibration method, interacted extended Kalman filter and maximum likelihood estimator are applied for estimation of motion state parameters and calibration parameters (biases and scaling factors), respectively. The extended Kalman filter is employed to estimate nonlinear Gaus...

متن کامل

Real Time Calibration of Strap-down Three-Axis-Magnetometer for Attitude Estimation

Three-axis-magnetometers (TAMs) are widely utilized as a key component of attitude determination subsystems and as such are considered the corner stone of navigation for low Earth orbiting (LEO) space systems. Precise geomagnetic-based navigation demands accurate calibration of the magnetometers. In this regard, a complete online calibration process of TAM is developed in the current research t...

متن کامل

Motion detection by a moving observer using Kalman filter and neural network in soccer robot

In many autonomous mobile applications, robots must be capable of analyzing motion of moving objects in their environment. Duringmovement of robot the quality of images is affected by quakes of camera which cause high errors in image processing outputs. In thispaper, we propose a novel method to effectively overcome this problem using Neural Networks and Kalman Filtering theory. Thistechnique u...

متن کامل

SmartView: Hand-Eye Robotic Ca ibration for Active Viewpoint Generation and Object Grasping

Viewpoint calibration is a method to manipulate hand-eye for generating calibration parameters for active viewpoint control and object grasping. In robot vision applications, accurate vision sensor calibration and robust vision-based robot motion control are essential for developing an intelligent and autonomous robotic system. This paper presents a new approach to hand-eye robotic calibration ...

متن کامل

Technical Details and Ergonomical Aspects of Gesture Recognition Applied in Intelligent Home Environments

This report shows in full detail how to realize a gesture recognition system for controlling appliances in home environments. It focusses on the image processing aspects and the calibration of the cameras and it also clariies details on ergo-nomic remote control of devices by gestures with the help of a vision system. The motion detection, the modelling and prediction of motion by the Kalman Fi...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1995