ADAPTIVE FEEDFORWARD CONTROL FOR POSITIONING SYSTEM WITH PROGRESSIVE WAVE TYPE ULTRASONIC MOTOR

1995 ◽  
Vol 23 (5) ◽  
pp. 583-595
Author(s):  
T. KAMANO ◽  
T. SUZUKI ◽  
T. KUZUHARA ◽  
M. TOMIZUKA
Keyword(s):  
Feedforward Control ◽  
Ultrasonic Motor ◽  
Positioning System ◽  
Progressive Wave ◽  
Wave Type ◽  
Adaptive Feedforward

Positioning System with Progressive Wave-Type Ultrasonic Motor under Self-Tuning Fuzzy Control

1995 ◽  
Vol 7 (1) ◽  
pp. 63-68 ◽  
Author(s):  
Junji Fukumi ◽  
◽  
Takuya Kamano ◽  
Takayuki Suzuki ◽  
Yu Kataoka ◽  
...  
Keyword(s):  
Feedback Loop ◽  
Fuzzy Controller ◽  
Lower Layer ◽  
Tracking Error ◽  
Ultrasonic Motor ◽  
The Self ◽  
Positioning System ◽  
Wave Type ◽  
Nonlinear Characteristics ◽  
Self Tuning

This paper considers the use of a self-tuning fuzzy controller for a positioning system with a progressive wavetype ultrasonic motor. The system consists of a feedback loop with a conventional controller and a self tuning fuzzy controller. The objective of the self tuning fuzzy controller is to restrain the adverse effect of nonlinear characteristics of the motor and to improve the tracking performance. The self-tuning fuzzy controller is functionally divided into two layers. The fuzzy rules are automatically adjusted by a tuning algorithm so that the tracking error is minimized in the upper layer. In lower layer, the output signal of the self tuning fuzzy controller is obtained by fuzzy reasoning procedure. After the tuning process is completed, the tracking error almost converges to zero, and the ultrasonic motor is no longer controlled by the fixed gain feedback controller but by the self-tuning fuzzy controller. The effectiveness of the proposed self-tuning fuzzy controller is demonstrated by an experiment.

Modeling of Progressive Wave Type Ultrasonic Motor

1990 ◽  
Vol 29 (S1) ◽  
pp. 194 ◽  
Author(s):  
Takayuki Suzuki ◽  
Takuya Kamano ◽  
Toshihiro Kazuhara
Keyword(s):  
Ultrasonic Motor ◽  
Progressive Wave ◽  
Wave Type

Piezo Actuator Hybrid Modeling for Nonlinear Inverse Control in Diamond Turning

1999 ◽  
Author(s):  
Dongwoo Song ◽  
C. James Li
Keyword(s):  
Pid Control ◽  
Inverse Dynamics ◽  
Feedforward Control ◽  
Diamond Turning ◽  
Piezo Actuator ◽  
Positioning System ◽  
Preisach Model ◽  
Hysteresis Model ◽  
Inverse Control ◽  
Spring Mechanism

Abstract This paper describes a micro-positioning system based on piezo actuators and a spring mechanism, and a hybrid hysteresis model integrating a neural network and Preisach model to identify the inverse dynamics of the micro-positioning system. To improve the workpiece form accuracy in diamond turning, feedforward control using the hybrid inverse model and feedback PID control were applied individually and in combination. The performance of these controllers are compared in actual cutting tests.

scholarly journals Adaptive Feedforward Control of a Pressure Compensated Differential Cylinder

2020 ◽  
Vol 10 (21) ◽  
pp. 7847
Author(s):  
Konrad Johan Jensen ◽  
Morten Kjeld Ebbesen ◽  
Michael Rygaard Hansen
Keyword(s):  
Control System ◽  
Root Mean Square ◽  
Motion Control ◽  
Experimental Verification ◽  
Feedforward Control ◽  
Position Error ◽  
Mean Square ◽  
Model Uncertainties ◽  
Feedforward Controller ◽  
Adaptive Feedforward

This paper presents the design, simulation and experimental verification of adaptive feedforward motion control for a hydraulic differential cylinder. The proposed solution is implemented on a hydraulic loader crane. Based on common adaptation methods, a typical electro-hydraulic motion control system has been extended with a novel adaptive feedforward controller that has two separate feedforward states, i.e, one for each direction of motion. Simulations show convergence of the feedforward states, as well as 23% reduction in root mean square (RMS) cylinder position error compared to a fixed gain feedforward controller. The experiments show an even more pronounced advantage of the proposed controller, with an 80% reduction in RMS cylinder position error, and that the separate feedforward states are able to adapt to model uncertainties in both directions of motion.

Sign in / Sign up

Export Citation Format

Share Document