Control System of Flexible Structure Multi-cell Robot Using Amoeboid Self-Organization Mode

2001 ◽  
pp. 563-572 ◽  
Author(s):  
Nobuyuki Takahashi ◽  
Takashi Nagai ◽  
Hiroshi Yokoi ◽  
Yukinori Kakazu
Keyword(s):  
Control System ◽  
Self Organization ◽  
Flexible Structure ◽  
Organization Mode

Position Control of a Flexible Beam Actuated by Two Active SMA Wires

2013 ◽  
Vol 420 ◽  
pp. 387-394
Author(s):  
Mohammad Reza Zakerzadeh
Keyword(s):  
Experimental Data ◽  
Control System ◽  
Large Deflection ◽  
Position Control ◽  
Flexible Structure ◽  
Flexible Beam ◽  
Hysteresis Nonlinearity ◽  
Feedforward Controller ◽  
Sma Actuator ◽  
Position Control System

SMA-actuated flexible structure become nonlinear in large deflection mode and as a result become more sensitive to the actuator applied force. In order to overcome this problem, in this paper, the hysteresis nonlinearity of SMA-actuated flexible structure is modeled by the generalized PrandtlIshlinskii model. Subsequently, a feedforwardfeedback controller is used to control the tip deflection of the SMA-actuated structure. The feedforward part of the control system is based on the inverse generalized PrandtlIshlinskii model while a conventional proportionalintegral feedback controller is added to the feedforward controller to increase the accuracy. However, in order to increase accuracy of position control system, in addition to the main SMA actuator, another auxiliary SMA actuator is attached to the structure. It is shown by the experimental data that, in comparison to the time that only main SMA actuator is attached to the structure, the proposed controller in the new architecture has increased the accuracy of the position control system.

The Design of Sewage Ultraviolet Ray Disinfection Control System Based on WSN

2014 ◽  
Vol 644-650 ◽  
pp. 356-359 ◽  
Author(s):  
Jin Wu Ju
Keyword(s):  
Control System ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Self Organization ◽  
Ultraviolet Rays ◽  
Control System Design ◽  
Widespread Application ◽  
Wireless Transceiver ◽  
Ultraviolet Ray

Wireless sensor network (WSN) is one kind of network which is composed by plenty of sensors with self-organization ability.WSN has the network with self-organization ability and the node is nimble distribution, it is widespread application in all kinds of fields. The article introduced based on the WSN design distributional sewage ultraviolet ray disinfection control system design, this system take PC machine as the core node, through the CC1100 wireless transceiver chip, with various ultraviolet rays generator node composition wireless sensor network, gathers various ultraviolet rays generator the condition and carries on the control to it.

scholarly journals A Decentralized, Flat-Structured Control System for Chiller Plants

2019 ◽  
Vol 9 (22) ◽  
pp. 4811 ◽  
Author(s):  
Dong He ◽  
Qingyu Xiong ◽  
Xuyang Zhang ◽  
Yunchuang Dai ◽  
Ziyan Jiang
Keyword(s):  
Energy Efficiency ◽  
Control System ◽  
Decentralized Control ◽  
Control Method ◽  
Control Strategies ◽  
Measured Data ◽  
Self Organization ◽  
Centralized Control ◽  
Self Recognition

This paper presents a novel control system for chiller plants that is decentralized and flat-structured. Each device in chiller plant system is fitted with a smart node. It is a smart agent, which collects, handles and sends out information to its neighbours. All the smart nodes form a network that can realize self-organization and self-recognition. Different kinds of control strategies can be converted into series of decentralized computing processes carried on by the smart nodes. The principle and mechanism of this decentralized, flat-structured control system for chiller plants are described in detail. Then a case study is presented to show how to build the decentralized, flat-structured control system actually. The measured data shows that the decentralized control method is energy efficiency. Moreover, it is much more flexible and scalable compared with the traditional centralized control method.

Self-Organization and Basis Functions of Neural Network Controllers

1996 ◽  
Vol 8 (4) ◽  
pp. 333-337 ◽  
Author(s):  
Takayuki Yamada ◽  
◽  
Norifumi Yasue ◽  
Takenori Morimitsu
Keyword(s):  
Neural Network ◽  
Control System ◽  
Nonlinear Control ◽  
Basis Function ◽  
Basis Functions ◽  
Nonlinear Control System ◽  
Self Organization ◽  
Neural Network Controllers ◽  
Nonlinear Plant

This paper discusses a relationship between a controller for an unknown nonlinear plant and a self-organization capability which changes the structure of the controller. The controllers using both a neural network and a basis function have the potential to realize a nonlinear control system with self-organization capability because they can change their structure through the change of the number of neurons or basis functions.

Assessment of parameters state of neuromuscular cluster in the conditions of the dosed physical activity

10.12737/3860 ◽  
2014 ◽  
Vol 8 (1) ◽  
pp. 1-6
Author(s):  
Рассадина ◽  
Yu. Rassadina ◽  
Попов ◽  
Yuriy Popov ◽  
Карпин ◽  
...  
Keyword(s):  
Physical Activity ◽  
Control System ◽  
Phase Space ◽  
State Vector ◽  
Self Organization ◽  
Neuromuscular System ◽  
Two Dimensional ◽  
Practical Possibility ◽  
Dimensional Phase Space ◽  
State Vector Of System

Parameters of neuromuscular system at the unexercised and trained examinees from a position of the theory of chaos and self-organization are studied. Essential distinction between two studied groups (the trained and unexercised students) is established. Dynamics of involuntary micro-movements of extremities (fingers of hands) in a person as reaction to the dosed physical activity is shown in change of parameters of quasiattractors of characteristics of a tremor. Dynamics of increase in volumes of quasiattractors of a vector of organism state in the unexercised students is revealed. The new technique of research of a control system by movements of a person by means of the analysis of characteristics of a tremor of an extremity in the conditions of physical activity is stated. Practical possibility of application of the method of multidimensional phase spaces of involuntary micro-movement in the assessment of reaction of neuromuscular system of the person on dynamic physical activity is shown. As a measure of state of human neuromuscular system (to loading and after loading) the authors use the quasiattractors of movement of state vector of system in two-dimensional phase space of states.

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