On Choosing Modules for the Control Unit of Local Control Systems

2004 ◽  
Vol 62 (11) ◽  
pp. 953-960
Author(s):  
T. A. Piyavchenko
Keyword(s):  
Control Systems ◽  
Local Control ◽  
Control Unit

Intelligent distributed local control unit for hydropower plant

2003 ◽  
Author(s):  
Chen Sining ◽  
Huang Jian ◽  
Wang Shanyong ◽  
Shi Chong ◽  
Chen Guoqing
Keyword(s):  
Local Control ◽  
Control Unit ◽  
Hydropower Plant

scholarly journals Pengaruh Strategi Bisnis Terhadap Sistem Pengendalian Manajemen – Studi pada BUMN Kategori Industri Strategis di Indonesia

2017 ◽  
Vol 4 (1) ◽  
pp. 113-124
Author(s):  
Karsam Karsam
Keyword(s):  
Control Systems ◽  
Internal Control ◽  
Business Strategy ◽  
Structural Equation ◽  
Control Unit ◽  
Management Control ◽  
Management Control System ◽  
Equation Modelling ◽  
The Board Of Directors ◽  
Survey Results

The objective of this study is to investigate the influence of business strategy for management control system. The study was carried out on twelve state-owned enterprises strategic industries (BUMNIS) in Indonesia between 2015 and 2016. The studied BUMNIS were selected based on criteria. The data was collected from questionaires that filled by top managements, the board of directors and internal control unit staff. In total, there were sixty respondents and 100% respondent rate. Structural Equation Modelling (SEM) with PLS approach was used to analysis the survey results. This study demonstrates that business strategy has an impact on management control systems of studied BUMNIS.

Multi-Agent Based Active Noise Intelligent Control

2014 ◽  
Vol 496-500 ◽  
pp. 1685-1689
Author(s):  
Huai Feng Cui ◽  
Nan Chen
Keyword(s):  
Control Problem ◽  
Local Control ◽  
Noise Control ◽  
Active Noise Control ◽  
Control Unit ◽  
Good Control ◽  
Agent Based ◽  
Active Noise ◽  
Flexible Plates ◽  
Multi Agent

Multi-agent based active noise control (ANC) is investigated in this paper. An enclosure consisting of two flexible plates is discussed. The noise control problem is decomposed into several local control problems on the basis of the dominant structural modal. Each local control problem is solved by an intelligent structure, i.e. agent control unit (ACU). The ACU includes sensor, actuator and controller. The relationship among the ACUs is negotiated by a coordination object. The architecture of multi-agent based active control is established using the coordination object. The control system can work smoothly in dynamic environments. It has the flexibility and robustness. The simulation results indicate that the good control performances are attained.

Control of Locomotion in Hexapods

2017 ◽  
pp. 422-438 ◽  
Author(s):  
Roy E. Ritzmann ◽  
Sasha N. Zill
Keyword(s):  
Control Systems ◽  
Local Control ◽  
Sensory Information ◽  
Legged Locomotion ◽  
Pattern Generation ◽  
Central Complex ◽  
Joint Movement ◽  
Control Circuits ◽  
Pattern Generators ◽  
The Brain

This article discusses legged locomotion in insects. It describes the basic patterns of coordinated movement both within each leg and among the various legs. The nervous system controls these actions through groups of joint pattern generators coupled through interneurons and interjoint reflexes in a range of insect species. These local control systems within the thoracic ganglia rely on leg proprioceptors that monitor joint movement and cuticular strain interacting with central pattern generation interneurons. The local control systems can change quantitatively and qualitatively as needed to generate turns or more forceful movements. In dealing with substantial obstacles or changes in navigational movements, more profound changes are required. These rely on sensory information processed in the brain that projects to the multimodal sensorimotor neuropils collectively referred to as the central complex. The central complex affects descending commands that alter local control circuits to accomplish appropriate redirected movements.

scholarly journals Advice Provision for Energy Saving in Automobile Climate-Control System

AI Magazine ◽  
2015 ◽  
Vol 36 (3) ◽  
pp. 61-72 ◽  
Author(s):  
Amos Azaria ◽  
Ariel Rosenfeld ◽  
Sarit Kraus ◽  
Claudia V. Goldman ◽  
Omer Tsimhoni
Keyword(s):  
Control System ◽  
Energy Consumption ◽  
Control Systems ◽  
Control Unit ◽  
Comfort Level ◽  
Environmental Footprint ◽  
Climate Control ◽  
Electric Car ◽  
Save Energy ◽  
High Level

Reducing energy consumption of climate control systems is important in order to reduce human environmental footprint. The need to save energy becomes even greater when considering an electric car, since heavy use of the climate control system may exhaust the battery. In this article we consider a method for an automated agent to provide advice to drivers which will motivate them to reduce the energy consumption of their climate control unit. Our approach takes into account both the energy consumption of the climate control system and the expected comfort level of the driver. We therefore build two models, one for assessing the energy consumption of the climate control system as a function of the system’s settings, and the other, models human comfort level as a function of the climate control system’s settings. Using these models, the agent provides advice to the driver considering how to set the climate control system. The agent advises settings which try to preserve a high level of comfort while consuming as little energy as possible. We empirically show that drivers equipped with our agent which provides them with advice significantly save energy as compared to drivers not equipped with our agent.

scholarly journals Alternative methods of fuel consumption metering based on the on-board diagnostics outputs

2005 ◽  
Vol 53 (4) ◽  
pp. 23-32
Author(s):  
Jiří Čupera ◽  
Miroslav Havlíček
Keyword(s):  
Control Systems ◽  
Fuel Consumption ◽  
Government Regulation ◽  
Oxygen Sensor ◽  
Damage Control ◽  
Control Unit ◽  
Alternative Methods ◽  
Coolant Temperature ◽  
Torque Measurement

The article describes alternative methods of fuel consumption measurement based on model with using the diagnostic outputs of engine control unit. On-board diagnosis (the second level, known as OBD-2) has been mandated by government regulation because of advanced damage control systems in newer cars. However, its signals can be used for accurate analyses of power or torque measurement. On-board diagnostics offers many various parameters such a spark advance, intake air temperature, coolant temperature, throttle position, air flow mass and so on. Many of them have been unavailable without using sophisticated and expensive instrumentation. In the article are described two ways of fuel consumption measuring which are based on intake air consumption and knowledge about air-fuel ratio. First of them is founded on voltage output of oxygen sensor, the second on short (long) term fuel trim. As is shown at the end the second way gives more accurately results.

Processor Performance Required for Decentralized Kinematic Control Algorithm of Module-Type Hyper-Redundant Manipulator

1996 ◽  
Vol 8 (5) ◽  
pp. 442-446 ◽  
Author(s):  
Shinichi Kimura ◽  
◽  
Toshiyuki Okuyama
Keyword(s):  
Control Systems ◽  
Local Control ◽  
Control Algorithm ◽  
Autonomous Systems ◽  
Careful Consideration ◽  
Autonomous Control ◽  
Redundant Manipulators ◽  
Processor Performance ◽  
Microgravity Conditions ◽  
Module Type

Based on the great progress of studies on decentralized autonomous systems, the decentralized autonomous control mechanism has expand its territory of applications to the control of redundant manipulators. Because local control systems are closely related in the decentralized autonomous control of redundant manipulators, the performance of local control systems requires careful consideration, particularly in treating the dynamic aspects of manipulators. In this paper, computer simulation is used to assess the effects of the processor performance of a decentralized autonomous control algorithm in adaptation to the reactive motion caused by the failure of actuators under microgravity conditions. The results show that the algorithm is so simple that conservative 16-bit processors are feasible as the local processor of the decentralized autonomous control algorithm. These results suggest that the decentralized autonomous control algorithm may have great advantages in hardware architecture cost and resources. The effect of conflicts among local processors on system performance is also discussed.

An Autopilot Based on a Local Control Network Design for an Unmanned Surface Vehicle

2012 ◽  
Vol 65 (2) ◽  
pp. 281-301 ◽  
Author(s):  
SK Sharma ◽  
W Naeem ◽  
R Sutton
Keyword(s):  
Control Systems ◽  
Local Control ◽  
Control Strategies ◽  
Systems Design ◽  
Performance Criteria ◽  
Linear Quadratic ◽  
Unmanned Surface Vehicle ◽  
Control Networks ◽  
Control Systems Design ◽  
Energy Saving Control

Over recent years, a number of marine autopilots designed using linear techniques have underperformed owing to their inability to cope with nonlinear vessel dynamics. To this end, a new design framework for the development of nonlinear autopilots is proposed. Local Control Networks (LCNs) can be used in the design of nonlinear control systems. In this paper, a LCN approach is taken in the design of a nonlinear autopilot for controlling the nonlinear yaw dynamics of an unmanned surface vehicle known as Springer. It is considered the approach is the first of its kind to be used in marine control systems design. Simulation results are presented and the performance of the nonlinear autopilot is compared with that of an existing Springer Linear Quadratic Gaussian (LQG) autopilot using standard system performance criteria. From the results it can be concluded the LCN autopilot out-performed that based on LQG techniques in terms of the selected criteria. Also it provided more energy saving control strategies and would thereby increase operational duration times for the vehicle during real-time missions.

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