An Integrated Lattice Filter Adaptive Control System for Time-Varying CMM Structural Vibration Control, Part 2: Experimental Implementation

1996 ◽  
Vol 118 (1) ◽  
pp. 77-87
Author(s):  
E. Lu ◽  
J. Ni ◽  
Z. G. Huang ◽  
S. M. Wu

The integrated fast lattice filter adaptive control algorithm developed in Part 1 of this paper will be implemented for the control of the structural vibration of a coordinate measuring machine (CMM). The structural vibration of a CMM exhibits time-varying dynamic characteristics. For auxiliary control, the probe head acceleration was measured to compute the voltage input to the servo motor of the CMM. The developed algorithm uses directly the lattice filter parameters to track and control the CMM structural dynamics and is implemented on a Sheffield horizontal arm Coordinate Measuring Machine using a floating point Digital Signal Processor TMS320C30. Through experiments, significant reduction of the CMM settling time has been achieved by suppressing the structural vibration. In certain configurations, the reduction was 95 percent.

1996 ◽  
Vol 118 (1) ◽  
pp. 67-76 ◽  
Author(s):  
E. Lu ◽  
J. Ni ◽  
S. M. Wu

An integrated lattice filter adaptive control system is developed for the control of time-varying CMM structural vibrations. An efficient algorithm is developed to provide a link between the adaptive lattice filter and the minimum variance control by directly utilizing the lattice filter parameters at time t − 1 for control. The approach avoids the conversion to system parameters and is therefore computationally efficient for applications of real time control. To fully utilize the benefit of the lattice filter, a heuristic criterion for on-line order determination is developed using the lattice filter parameters. With a linear computational cost, the developed algorithm will perform on-line system order determination, parameter tracking, and control calculation at each sampling instance. The simulation result shows that the approximation of output prediction is reasonable and the integrated lattice filter adaptive control can reduce the system settling time by 82 percent as compared with no control.


2018 ◽  
Vol 10 (1) ◽  
pp. 168781401775178
Author(s):  
Wu-Sung Yao

In general, eccentric gravity machinery is a rotation mechanism with eccentric pendulum mechanism, which can be used to convert continuously kinetic energy generated by gravity energy to electric energy. However, a stable rotated velocity of the eccentric gravity machinery is difficult to be achieved only using gravity energy. In this article, a stable velocity control system applied to eccentric gravity machinery is proposed. The dynamic characteristic of eccentric gravity machinery is analyzed and its mathematical model is established, which is used to design the controller. A stable running velocity of the eccentric gravity machinery can be operated by the controlled servomotor. Due to disturbances being periodic, repetitive controller is installed to velocity control loop. The stability performance and control performance of the repetitive control system are discussed. The iterative algorithm of the repetitive control is executed by a digital signal processor TI TMS320C32 floating-point processor. Simulated and experimental results are reported to verify the performance of the proposed eccentric gravity machinery control system.


2017 ◽  
Vol 37 (3) ◽  
pp. 443-455 ◽  
Author(s):  
Sangdeok Lee ◽  
Seul Jung

In this article, an experimental investigation of the detection of a gyroscopically induced vibration and the balancing control performance of a single-wheel robot is presented. The balance of the single-wheel robot was intended to be maintained by virtue of the gyroscopic effect induced from a highly rotating flywheel. Since the flywheel rotates at a high speed, an asymmetrical structure of a flywheel causes an irregular rotation and becomes one of the major vibration sources. A vibration was detected and suppressed a priori before applying control algorithms to the robot. Gyroscopically induced vibrations can empirically be detected with different rotational velocities. The detection of the balancing angle of the single-wheel robot was accomplished by using an attitude and heading reference system. After identifying the vibrating frequencies, a notch filter was designed to suppress the vibration at the typical frequencies identified through experiments. A digital filter was designed and implemented in a digital signal processor(DSP) along with the control scheme for the balance control performance. The performance of the proposed method was verified by the experimental studies on the balancing control of the single-wheel robot. Experimental results confirmed that the notch filter designed following the detection of the flywheel’s vibration actually improved the balancing control performance. A half of the vibration magnitude was reduced by the proposal.


2014 ◽  
Vol 598 ◽  
pp. 583-586
Author(s):  
Ping Wang ◽  
Gui Zhi Xu ◽  
Lei Wang ◽  
Cheng Long Liu

The core device of our system is a handheld EEG monitoring analyzer, which is based on a new DSP (Digital Signal Processor) control system. The DSP is based on a Think-Gear module and collects the EEG signals reliably. The system only uses a dry electrode, which ensures that the user can have a happy experience in daily life. Our main purpose is that we can provide a hardware prototype with the application of BCI (Brain-Computer Interface).The system can monitor the sleep process accurately and distinguish the eyes open or closed state, sleep state and the degree of relaxation.


2015 ◽  
Vol 10 (2) ◽  
pp. 10-17
Author(s):  
Dmitriy Senkov ◽  
Dmitriy Pureskin ◽  
Anatoliy Medvedko

There are the structure and control algorithms 10kW power source with 25 kHz converter and output synchronous rectifier shown in the article. The output voltage or current of power source has controlled waveform with 1 kHz maximal frequency. The output voltage is galvanically isolated from mains. The source design allows using the load’s energy recuperation in the power converter storage capacitor and soft switching in the synchronous rectifier. The article shows the application of power source as 400 Hz waveform regulated sinusoidal voltage generator.


2006 ◽  
Vol 7 (1) ◽  
pp. 108-111 ◽  
Author(s):  
K. Lübke ◽  
C. Pieper ◽  
G. Goch ◽  
K. Kammers

The research project UP-Prosa, a German acronym for universal and unified platform for planning, programming, controlling and evaluating processes, of measuring, aims at realizing a platform to design and control processes of geometry measurements, which supports a broad variety of measuring devices via one user interface. Based on Windows Operating System (OS) a software was developed able to control inspection devices for different types of geometry measurements (coordinate measuring machine, form, roughness, gear) and manufacturers by one defined communication protocol. This uniform user interface contains the programming of measurement processes, evaluation algorithms with standardized methods, as well as abilities to generate record pages at the users expectations. At the level of geometric measuring devices a universal controlling software called Prosa InterCommunicator (Prosa-ICom) was designed. Prosa-ICom communicates via network with the user interface and translates the defined protocol into a measuring device specific form. The internal structure is extendable and so it seems to be appropriate for both new developments and upgrades (retrofit) for all kinds of geometric measuring devices.


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