Comparative studies of the set up of two-dimensional pneumatic arm systems by muscle and rotational actuators

2007 ◽  
Vol 221 (5) ◽  
pp. 743-748 ◽  
Author(s):  
Y-T Wang ◽  
R-H Wong ◽  
J-T Lu
Keyword(s):  
Control Systems ◽  
Fuzzy Controller ◽  
Control Algorithms ◽  
Two Dimensional ◽  
Pneumatic Control ◽  
Learning Mechanism ◽  
Set Up ◽  
And Control ◽  
Self Learning ◽  
System Characteristics

As opposed to traditional pneumatic linear actuators, muscle and rotational actuators are newly developed actuators in rotational and specified applications. In the current paper, these actuators are used to set up two-dimensional pneumatic arms, which are used mainly to simulate the excavator's motion. Fuzzy control algorithms are typically applied in pneumatic control systems owing to their non-linearities and ill-defined mathematical model. The self-organizing fuzzy controller, which includes a self-learning mechanism to modify fuzzy rules, is applied in these two-dimensional pneumatic arm control systems. Via a variety of trajectory tracking experiments, the present paper provides comparisons of system characteristics and control performances.

Performance comparison between PI digital and fuzzy controllers in a level control system

2019 ◽  
Vol 2 (3) ◽  
pp. 10
Author(s):  
Felipe José de Sousa Vasconcelos ◽  
Cláudio Marques de Sá Medeiros
Keyword(s):  
Control Systems ◽  
Fuzzy Controller ◽  
Serial Communication ◽  
Performance Comparison ◽  
Control Algorithms ◽  
Plant Sample ◽  
Level Control ◽  
Sample Data ◽  
And Control ◽  
Measurement And Control

Liquid level systems are important in many industrial and academic applications, so measurement and control systems need to be as accurate as possible for this process. However, a level system has a nonlinear dynamic which increases the difficulty of modelling and design controller by classical methods. In order to address these issues, this paper discusses the modeling of a nonlinear level plant and the implementation of strategies for PI control and fuzzy control. The control algorithms are embedded in an 8 bits microcontroller, which provides the plant sample data via serial communication. Response specifications are stipulated so that the performance of the controllers is evaluated and compared. The results show a better performance for the fuzzy controller which could avoid larges overshoots with low computation costs and none anti-windup strategies.

RESPONSE OF A HIGH-SPEED WAVE-PIERCING CATAMARAN TO AN ACTIVE RIDE CONTROL SYSTEM

2021 ◽  
Vol 158 (A4) ◽  
Author(s):  
J AlaviMehr ◽  
M R Davis ◽  
J Lavroff ◽  
D S Holloway ◽  
G A Thomas
Keyword(s):  
Control System ◽  
Control Systems ◽  
High Speed ◽  
Control Surface ◽  
Control Algorithms ◽  
Active Centre ◽  
Ride Control ◽  
Control Step ◽  
Set Up ◽  
Ride Control System

Ride control systems on high-seed vessels are an important design features for improving passenger comfort and reducing motion sickness and dynamic structural loads. To investigate the performance of ride control systems a 2.5m catamaran model based on the 112m INCAT catamaran was tested with an active centre bow mounted T-Foil and two active stern mounted trim tabs. The model was set-up for towing tank tests in calm water to measure the motions response to ride control step inputs. Heave and pitch response were measured when the model was excited by deflections of the T-Foil and the stern tab separately. Appropriate combinations of the control surface deflections were then determined to produce pure heave and pure pitch response. This forms the basis for setting the gains of the ride control system to implement different control algorithms in terms of the heave and pitch motions in encountered waves. A two degree of freedom rigid body analysis was undertaken to theoretically evaluate the experimental results and showed close agreement with the tank test responses. This work gives an insight into the motions control response and forms the basis for future investigations of optimal control algorithms.

Design and Control of the 3 Axes Pneumatic Servo Micromanipulator for the Biological Technology

2009 ◽  
Author(s):  
Ming-Chang Shih ◽  
Hung-Yi Chen
Keyword(s):  
Fuzzy Controller ◽  
Dead Zone ◽  
Nonlinear Effects ◽  
Control Technique ◽  
Positioning Precision ◽  
Pneumatic Control ◽  
Biological Technology ◽  
Highly Nonlinear ◽  
A Cell ◽  
And Control

This paper describes the servo pneumatic control technique, which is applied to the biomedical and biological technology. A cell micromanipulator is built by a 3-axes servo pneumatic micromanipulator system, which is set horizontally or vertically and driven by pneumatic cylinders. Due to the nonlinear characteristic of the air flow and the compressibility of air, the system is highly nonlinear system. Therefore, the compensators must be designed to reject those nonlinear effects and to improve the positioning precision. The dead-zone of the 3 axes pneumatic servo micromanipulator is measured, and the relation of velocity and voltage is plotted. Finally, a hybrid fuzzy controller, with dead zone, and velocity compensation, is designed to control the positioning precision of the 3 axes pneumatic servo micromanipulator. From the experimental results, the pneumatic servo micromanipulator has the positioning accuracy of 40 nm with different displacements. The system can be potentially used for the cell extraction, puncture, cutting and microinjection of the biological technology.

Artificial Hair Sensors: Electro-Mechanical Characterization

2014 ◽  
Author(s):  
David M. Phillips ◽  
Keith A. Slinker ◽  
Cody W. Ray ◽  
Benjamin J. Hagen ◽  
Jeffery W. Baur ◽  
...  
Keyword(s):  
Control Systems ◽  
Flight Control ◽  
Mechanical Characterization ◽  
Glass Fibers ◽  
Fused Silica ◽  
Control Algorithms ◽  
Resistance Change ◽  
Micron Diameter ◽  
And Control ◽  
Hair Sensors

Performance demands of future unmanned air vehicles will require rapid autonomous responses to changes in environment. Towards this goal, we expect that the next generation flight control systems will include advanced sensors beyond the contemporary array. One promising scenario correlates measurements of flow footprints over aircraft surfaces with aerodynamic data to aid navigation and feedback control algorithms. As a sensor for this concept, we construct artificial hair sensors (AHSs) based on glass microfibers enveloped in an annular, radially-aligned piezoresistive carbon nanotube (CNT) forest to measure air flow in boundary layers. This study includes an analysis of the sensitivity based on laboratory scale electromechanical testing. The sensors in this work utilize nine micron diameter S2 glass fibers as the sensing mechanism for coupling to boundary layer air flows. The annular CNT forest resides in a fused silica microcapillary with electrodes at the entrance. The sensor electrical transduction mechanism relies on the resistance change of the CNT forest due to changes in both the bulk and contact resistance as a function of mechanical loading on the fiber. For the electromechanical analysis, the sensors are controllably loaded to measure both the force and moment acting at the base of the hair and the resulting deflection of the CNT forest inside of the microcapillary is measured to estimate the stress on the forest and the pressure between the forest and the electrode. The electrical responses of the sensors are compared to the mechanical state of the CNT forest. This work represents the development of a characterization tool to better understand and control the response of CNT based AHSs.

Hardware in the Loop Test Rig for Development of Control Algorithms for Electric Vehicles

2013 ◽  
Vol 198 ◽  
pp. 507-512
Author(s):  
Florian Quantmeyer ◽  
Xiao Bo Liu-Henke
Keyword(s):  
Control Systems ◽  
Electric Vehicles ◽  
Automotive Industry ◽  
Control Algorithms ◽  
Hardware In The Loop ◽  
Test Rig ◽  
Control Functions ◽  
Systems And Control ◽  
High Flexibility ◽  
And Control

Political pressure on the automotive industry will lead in future to an increasing electrification of the powertrain. The new components require the development of new vehicle control systems and control functions. Due to the high complexity of such systems the mechatronical development process including Model in the Loop (MIL), Software in the Loop (SIL) and Hardware in the Loop (HIL) simulation has been established. In this paper, a HiL test rig is presented, which has high flexibility and supports the model based development of control systems for battery electric vehicles at all levels.

scholarly journals Experimental Set-Up of an Induction Motor for Observers and Control Algorithms Validation

1997 ◽  
Vol 30 (27) ◽  
pp. 441-446
Author(s):  
D. Lubineau ◽  
M. Dion ◽  
L. Dugard ◽  
D. Roye
Keyword(s):  
Induction Motor ◽  
Control Algorithms ◽  
Set Up ◽  
And Control

Nonlinear Adaptive Control of Dynamic Systems Driven by Shape Memory Alloy (SMA) Actuators

2008 ◽  
Author(s):  
Shuo Chen ◽  
William J. Craft ◽  
David Y. Song
Keyword(s):  
Shape Memory Alloy ◽  
Shape Memory ◽  
Composite Structures ◽  
Lyapunov Stability Theory ◽  
Linear Displacement ◽  
Control Algorithms ◽  
Sma Actuators ◽  
Composite Systems ◽  
Set Up ◽  
And Control

This work describes the development and analysis of nonlinear adaptive based control algorithms for composite structures/systems operated with Shape Memory Alloy (SMA) actuators. A mathematical model charactering the motion of the composite systems is established, and by using Lyapunov stability theory, algorithms for linear displacement tracking control are derived. Actuation and control is achieved by adjusting the supply current to the SMA actuators. It is shown that with the proposed strategy for both linear displacement and velocity requires that the desired trajectory is tracked precisely. The novelty of the proposed approach also lies in the fact that it is fairly easy to set up and the computation involved as compared with other strategies. An example is used to verify the validity of the proposed approach. Simulation results using Matlab are presented.

The Use of Avionics DME Equipment for Marine Navigation

1979 ◽  
Vol 32 (2) ◽  
pp. 180-185
Author(s):  
W. H. P. Canner
Keyword(s):  
Control Systems ◽  
Airline Competition ◽  
The United Kingdom ◽  
Technical Advances ◽  
A Chain ◽  
Set Up ◽  
Navigational Systems ◽  
Marine Navigation ◽  
And Control ◽  
Cross Reference

In recent years a great deal of research has been carried out in the twin fields of ship and aircraft navigational systems. The areas investigated have been closely related, but since 1945 the work has always been conducted independently, with virtually no cross-reference between the two industries. During the war years, however, this was not so and intensive research at that time resulted in some remarkable technical advances which related to both fields. The aids to navigation which then emerged have remained until recently absolutely fundamental and in marine navigation they have formed a platform of reliability, particularly the Decca Navigator system and radar. In aviation, airline competition on the transatlantic routes and the need for absolute safety has maintained a continuing process of evolution in the design of navigation and control systems. One such aid to emerge has been DME and, with the research and development complete, this is now a standard device for both military and civil operators throughout the world. A chain of ground beacons has been set up to cover the major world air routes and there are a considerable number of these beacons in the United Kingdom.

scholarly journals AI-Based Self-Learning System in Distributed Structural Health Monitoring and Control

2021 ◽  
Author(s):  
Kai Yan ◽  
Xin Lin ◽  
Wenfeng Ma ◽  
Yuxiao Zhang
Keyword(s):  
Artificial Intelligence ◽  
Control Systems ◽  
Safety Assessment ◽  
Learning System ◽  
Structural Safety ◽  
Monitoring And Control ◽  
Structural Health ◽  
Long Span ◽  
And Control ◽  
Self Learning

AbstractArtificial intelligence is predicted to play a big part in self-learning, industrial automation that will negotiate the bandwidth of structural health and control systems. The industrial structural health and control system based on discrete sensors possesses insufficient spatial coverage of sensing information, while the distributed condition monitoring has been mainly studied at the sensor level, relatively few studies have been conducted at the artificial intelligence level. This paper presents an innovative method for distributed structural health and control systems based on artificial intelligence. The structural condition was divided into regional and local features, the feature extraction and characterization are performed separately. Structural abnormality recognition and risk factor calculation method were proposed by considering the response values and the distribution patterns of both the regional and the local structural behaviours. The test results show that the method can effectively identify the full-scale and local damage of the structure, respectively. Subsequently, structural safety assessment method for long-span structures at kilometres level in view of fully length strain distributions measured by distributed fiber optic sensors were developed. A series of load tests on the long-span structure were carried out. Finite element (FE) model was developed using finite element code, ABAQUS, and an extensive parametric study was conduct to explore the effect of load cases on the structural responses. The differences in the structural response results among load test, structural safety assessment and FE simulation were investigated. It is shown that AI-based self-learning system could offer suitable speed in deployment, reliability in solution and flexibility to adjust in distributed structural health monitoring and control.

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