Simulation Research on One-Cycle Controlled AC-AC Cuk Converter

2013 ◽  
Vol 710 ◽  
pp. 501-505
Author(s):  
Chun Jie Wang ◽  
Peng Fei Yu
Keyword(s):  
Control Method ◽  
Input Voltage ◽  
Transmission Efficiency ◽  
Open Loop ◽  
Open Loop Control ◽  
Simulation Research ◽  
Loop Control ◽  
Cuk Converter ◽  
Excellent Control ◽  
And Control

AC-AC Cuk Converter which constituted by bidirectional switch has an advantage of high transmission efficiency, but most of them usually use open-loop control. In this paper, we propose one-cycle control of the AC-AC Cuk converter. The operating principle and control method are presented. The simulation results based on Matlab are given to verify its rationality and feasibility. Compared to common PID control, it has excellent control performance. Furthermore, one-cycle controlled AC-AC Cuk converter has the ability to reject input voltage perturbations and faster dynamic response.

Control of a Digital Micromirror Device Using Input Shaping

2007 ◽  
Author(s):  
H. Jammoussi ◽  
S. Choura ◽  
E. M. Abdel-Rahman ◽  
H. Arafat ◽  
A. Nayfeh ◽  
...  
Keyword(s):  
Electrostatic Field ◽  
Control Strategy ◽  
Nonlinear Function ◽  
Input Voltage ◽  
Open Loop ◽  
Input Shaping ◽  
Control Law ◽  
Digital Micromirror Device ◽  
Open Loop Control ◽  
Loop Control

In this paper, an open-loop control strategy is proposed for maneuvering the angular motion of a Digital Micromirror Device (DMD). The control law is based on a micromirror model that accounts for both bending and torsion motions. The model characterizes two DMD configurations: with and without contact with the substrate. The device is actuated using an electrostatic field which is a nonlinear function of the states and input voltage. The proposed control strategy is a Zero Vibration (ZV) shaper. It overshoots the DMD to its desired final angle by appropriately varying two independent input voltages. Actuating voltages and switching times are determined to maneuver the DMD from −10° to +10° tilt angles while reducing the residual vibrations.

A Simulation Research of Artificial Intelligence Control

2012 ◽  
Vol 214 ◽  
pp. 640-643
Author(s):  
Xin Xiong ◽  
Chao Dong Lu
Keyword(s):  
Artificial Intelligence ◽  
Control System ◽  
Control Method ◽  
Control Mode ◽  
Simulation Research ◽  
Loop Control ◽  
Complex Control ◽  
Intelligence Control ◽  
And Control ◽  
Specific Control

The traditional control system can not meet the more complex control tasks of the problem, using artificial intelligence control method of imitation, artificial intelligence control system on the overall structure of the design, and given the specific control algorithms. System relies on accurately identify the various features of the error and make the appropriate decisions to multiplexing, open, closed loop control mode of combining control and solve the complex control of the process of identification, decision-making and control problems and achieve A unified identification control.

In-Hand Manipulation Primitives for a Minimal, Underactuated Gripper With Active Surfaces

2016 ◽  
Author(s):  
Raymond R. Ma ◽  
Aaron M. Dollar
Keyword(s):  
A Priori ◽  
Open Loop ◽  
Object Motion ◽  
A Priori Knowledge ◽  
Open Loop Control ◽  
Loop Control ◽  
Grasp Stability ◽  
Control Schemes ◽  
And Control ◽  
Underactuated Finger

Dexterous in-hand manipulation tasks have been difficult to execute, even with highly complex hands and control schemes, as the object grasp stability needs to be maintained while it is displaced in the hand workspace. Researchers have shown that underactuated, adaptive hand designs can effectively immobilize objects with simple, open-loop, but there have been few cases where underactuation has been leveraged to enhance in-hand manipulation. In this work, we investigate the performance of a gripper utilizing a thumb with an active, belt-driven, conveyor surface and an opposing, underactuated finger with passive rollers, for a variety of manipulation tasks and range of objects. We show that consistent, repeatable object motion can be obtained while ensuring a rigid grasp without a priori knowledge of the object geometry or contact locations, due to the adaptive qualities of underactuated design. Many dexterous in-hand manipulation examples with their anthropomorphic equivalents are examined, and simple, open-loop control schemes to optimize the repeatability of these tasks are proposed.

Positioning of Pneumatic Actuator Using Open-Loop System

2015 ◽  
Vol 816 ◽  
pp. 160-164
Author(s):  
Ivan Virgala ◽  
Michal Kelemen ◽  
Erik Prada ◽  
Tomáš Lipták
Keyword(s):  
Mathematical Model ◽  
Control Method ◽  
Open Loop ◽  
Pneumatic Actuator ◽  
Open Loop Control ◽  
Open Loop System ◽  
Precise Positioning ◽  
Loop Control ◽  
Experimental Stand ◽  
Loop Control System

In the paper, we experimentally analyze a pneumatic actuator and possibilities of piston positioning. Paper shows mathematical model of pneumatic actuator. Actuator is experimentally tested and therefor experimental stand is assembled for the purposes of positioning of actuator piston. The changing parameters during the experiment are weight of load and pneumatic pressure. The results show how these parameters can have influence on precise positioning of pneumatic actuator. For experiment there is purposely used open loop control system. The aim of the study is not to show control method for positioning but to show influence of mentioned parameters.

Melnikov-Based Open-Loop Control of Escape for a Class of Nonlinear Systems

1997 ◽  
Vol 119 (3) ◽  
pp. 590-594 ◽  
Author(s):  
Emil Simiu ◽  
Marek Franaszek
Keyword(s):  
Stochastic Systems ◽  
Control Method ◽  
Open Loop ◽  
Heteroclinic Orbits ◽  
Time Interval ◽  
Open Loop Control ◽  
Loop Control ◽  
Random Forcing ◽  
Scale Factors ◽  
System Properties

The performance of certain nonlinear stochastic systems is deemed acceptable if during a specified time interval, the systems have sufficiently low probabilities of escape from a preferred region of phase space. We propose an open-loop control method for reducing these probabilities. The method is applicable to stochastic systems whose dissipation- and excitation-free counterparts have homoclinic or heteroclinic orbits. The Melnikov relative scale factors are system properties containing information on the frequencies of the random forcing spectral components that are most effective in inducing escapes. Numerical simulations show that substantial advantages can be achieved in some cases by designing control systems that take into account the information contained in the Melnikov scale factors.

Asymptotic Solution and Trajectory Planning for Open-Loop Control of Mobile Robots

2017 ◽  
Vol 139 (5) ◽  
Author(s):  
Alan Whitman ◽  
Garrett Clayton ◽  
Alexander Poultney ◽  
Hashem Ashrafiuon
Keyword(s):  
Mobile Robots ◽  
Trajectory Planning ◽  
Control Method ◽  
Open Loop ◽  
Order Correction ◽  
Reference Trajectory ◽  
Open Loop Control ◽  
Loop Control ◽  
First Order ◽  
First Order Correction

A novel open-loop control method is presented for mobile robots based on an asymptotic inverse dynamic solution and trajectory planning. The method is based on quantification of sliding by a small nondimensional parameter. Asymptotic expansion of the equations yields the dominant nonslip solution along with a first-order correction for sliding. A trajectory planning is then introduced based on transitional circles between the robot initial states and target reference trajectory. The transitional trajectory ensures smooth convergence of the robot states to the target reference trajectory, which is essential for open-loop control. Experimental results with a differential drive mobile robot demonstrate the significant improvement of the controller performance when the first-order correction is included.

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