scholarly journals Application of explicit model reference adaptive control theory to an electrohydraulic servosystem. Position control by servovalve and hydraulic motor.

1989 ◽  
Vol 20 (7) ◽  
pp. 625-632 ◽  
Author(s):  
Kozo YAMAHASHI ◽  
Shigeru IKEO ◽  
Koji TAKAHASHI
Keyword(s):  
Adaptive Control ◽  
Control Theory ◽  
Position Control ◽  
Model Reference Adaptive Control ◽  
Explicit Model ◽  
Hydraulic Motor ◽  
Model Reference ◽  
Model Reference Adaptive

Mechanical and Electrical Control System Design Based on Adaptive Control Theory

2013 ◽  
Vol 380-384 ◽  
pp. 463-466
Author(s):  
Ying Li
Keyword(s):  
Adaptive Control ◽  
Control System ◽  
Control Theory ◽  
Model Reference Adaptive Control ◽  
Software System ◽  
Parallel Model ◽  
Adaptive Control System ◽  
Model Reference ◽  
Electrical Control ◽  
Model Reference Adaptive

A parallel model reference adaptive control system was designed for reaching the optimal control effect and performance in the electrical control system based on the adaptive control theory. The control weighting coefficient was adjusted precisely in real time with the adaptive control theory for the matching and transmission of the self-performance and the out information, and the performance of the control system could reach optimal performance. But on the other hand, the adaptive control theory hadnt is applied in the torpedo control system. An improved electrical control system algorithm was proposed in this system based on the adaptive control theory. The torpedo control system was taken as the example, the parallel model reference adaptive control system was designed. The hardware circuit diagram of the control system was designed. And the control algorithm of the three-channel such as the pitch, yaw and roll of the torpedo control system was designed separately. And the output signal of the system and the software system of the three-channel torpedo control system was simulated. The design result and the simulation result show that the control performance is stable and the software system shows nice performance of human-computer interaction property and good perspective of application performance.

Model Reference Adaptive Motion Control Research of Servo Press

2014 ◽  
Vol 532 ◽  
pp. 212-217
Author(s):  
Juan Zhang ◽  
Xing Song Wang
Keyword(s):  
Adaptive Control ◽  
Real Time ◽  
Control Strategy ◽  
Pid Control ◽  
Position Control ◽  
Model Reference Adaptive Control ◽  
Model Reference ◽  
Servo Press ◽  
Adaptive Control Strategy ◽  
Model Reference Adaptive

Servo press is a new developing trend in forming equipment. In order to improve the position control accuracy, the movement rule of crank press slide block is analyzed. In view of the servo press poison PID control algorithm parameters cant realize real-time adjustment, model reference adaptive control strategy is presented, and a real-time control experiment platform is established in xPC target environment based on MATLAB RTW. The experiment results shows that the model reference adaptive control strategy is of higher accuracy and better robustness than the PID control strategy.

Model Reference Adaptive Control of Dual-Mode Micro/Macro Dynamics of Ball Screws for Nanometer Motion

1993 ◽  
Vol 115 (1) ◽  
pp. 103-108 ◽  
Author(s):  
P. I. Ro ◽  
P. I. Hubbel
Keyword(s):  
Adaptive Control ◽  
Sliding Friction ◽  
Position Control ◽  
Adaptive Controller ◽  
Model Reference Adaptive Control ◽  
Ball Screw ◽  
Model Reference ◽  
Frictional Contacts ◽  
Motion Characterization ◽  
Model Reference Adaptive

A desire to improve the positioning accuracy of ball screws prompted an investigation into the dynamics of nanometer motion. Characterization of the ball screw indicated that nanometer motion is possible prior to friction breakaway via elastic deformation of the frictional contacts while macroscopic motion involves slipping across the friction interfaces. The observed dynamics are nonlinear, and consequently result in inconsistent and unpredictable closed-loop response while under PI position control. The ball-screw can be modeled in two stages: The microdynamic stage includes “elastic” friction while the macrodynamic stage incorporates kinetic (sliding) friction. A two-stage model reference adaptive control (MRAC) strategy is adopted and a Lyapunov design technique is applied to derive the adaptive laws. Experimental results obtained via a DSP implementation of the adaptive controller indicate that the each stage of the adaptive control performs well within the respective dynamic regions, but performance deteriorates as either controller is operated near the boundary of the regions.

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