A RFID Landmark Navigation Auxiliary System

2006 ◽  
Author(s):  
Gang Yang ◽  
Gary Anderson ◽  
Edward Tunstel
Keyword(s):  
Auxiliary System ◽  
Landmark Navigation

scholarly journals Adaptive Fuzzy PID Based on Granular Function for Proton Exchange Membrane Fuel Cell Oxygen Excess Ratio Control

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1140
Author(s):  
Xiao Tang ◽  
Chunsheng Wang ◽  
Yukun Hu ◽  
Zijian Liu ◽  
Feiliang Li
Keyword(s):  
Fuel Cell ◽  
Control Strategy ◽  
Proton Exchange Membrane ◽  
Proton Exchange ◽  
Auxiliary System ◽  
Fuzzy Pid ◽  
Oxygen Starvation ◽  
Oxygen Excess ◽  
Exchange Membrane ◽  
Oxygen Excess Ratio

An effective oxygen excess ratio control strategy for a proton exchange membrane fuel cell (PEMFC) can avoid oxygen starvation and optimize system performance. In this paper, a fuzzy PID control strategy based on granular function (GFPID) was proposed. Meanwhile, a proton exchange membrane fuel cell dynamic model was established on the MATLAB/Simulink platform, including the stack model system and the auxiliary system. In order to avoid oxygen starvation due to the transient variation of load current and optimize the parasitic power of the auxiliary system and the stack voltage, the purpose of optimizing the overall operating condition of the system was finally achieved. Adaptive fuzzy PID (AFPID) control has the technical bottleneck limitation of fuzzy rules explosion. GFPID eliminates fuzzification and defuzzification to solve this phenomenon. The number of fuzzy rules does not affect the precision of GFPID control, which is only related to the fuzzy granular points in the fitted granular response function. The granular function replaces the conventional fuzzy controller to realize the online adjustment of PID parameters. Compared with the conventional PID and AFPID control, the feasibility and superiority of the algorithm based on particle function are verified.

Modularized, Combined LM2500 PE and Plus Package for Power Generation and Mechanical Drive

1997 ◽  
Author(s):  
Knuth Jahr
Keyword(s):  
Power Generation ◽  
Gas Turbine ◽  
Design Concept ◽  
Auxiliary System ◽  
System Concept

This paper presents the Kværner design concept for an LM2500 Gas Turbine Package, with combined engine interfaces for both the LM2500 PE and the LM2500 Plus. The paper also presents the Kværner Modularized Auxiliary System concept, where the lube oil module and the fuel modules are located in separate compartments integrated in the turbine skid, protected from soak-back heat and blade-out conditions.

scholarly journals Adaptive Control for a Biological Process under Input Saturation and Unknown Control Gain via Dead Zone Lyapunov Functions

2020 ◽  
Vol 11 (1) ◽  
pp. 251
Author(s):  
Alejandro Rincón ◽  
Fredy E. Hoyos ◽  
John E. Candelo-Becerra
Keyword(s):  
Lower Bounds ◽  
Distinctive Feature ◽  
Biological Process ◽  
Dead Zone ◽  
Tracking Error ◽  
Input Saturation ◽  
Auxiliary System ◽  
Upper And Lower Bounds ◽  
Compact Set ◽  
Control Gain

In this work, substrate control of a biological process with unknown varying control gain, input saturation, and uncertain reaction rate is addressed. A novel adaptive controller is proposed, which tackles the combined effect of input saturation and unknown varying control gain with unknown upper and lower bounds. The design is based on dead zone radially unbounded Lyapunov-like functions, with the state backstepping as control framework. The convergence of the modified tracking error and the boundedness of the updated parameters are ensured by means of the Barbalat’s lemma. As the first distinctive feature, a new second-order auxiliary system is proposed that tackles the effect of saturated input and the unknown varying control gain with unknown upper and lower bounds. As the second distinctive feature, the modified tracking error converges to a compact set whose width is user-defined, so that it does not depend on bounds of either external disturbances, model terms, or model coefficients. The convergence region of the current tracking error is determined for the closed loop system subject to the formulated controller and the proposed auxiliary system. Finally, numerical simulation illustrates the performance of the proposed controller.

GENERALIZED SYNCHRONIZATION OF CHAOS IN RCL-SHUNTED JOSEPHSON JUNCTIONS BY UNIDIRECTIONALLY COUPLING

2010 ◽  
Vol 24 (29) ◽  
pp. 5675-5682 ◽  
Author(s):  
YU-LING FENG ◽  
XI-HE ZHANG ◽  
ZHI-GANG JIANG ◽  
KE SHEN
Keyword(s):  
Lyapunov Exponent ◽  
Numerical Simulations ◽  
Josephson Junctions ◽  
System Approach ◽  
Chaotic Synchronization ◽  
Auxiliary System ◽  
Generalized Synchronization ◽  
Maximum Condition ◽  
Two Systems

This paper investigates chaotic synchronization in the generalized sense in two resistive-capacitive-inductive-shunted (RCL-shunted) Josephson junctions (RCLSJJs) by using the means of unidirectionally coupling. The numerical simulations confirm that the generalized synchronization of chaos in these two systems can be achieved with a suitable coupling intensity when the maximum condition Lyapunov exponent (MCLE) is negative. Also, the auxiliary system approach is used to detect the existence of the generalized synchronization.

Internet of Things Based Auxiliary Control System for Smart Substation

2012 ◽  
Vol 614-615 ◽  
pp. 1790-1795 ◽  
Author(s):  
Jia Hui Wang ◽  
Xiang Zhen Li ◽  
Rui Ting Lu ◽  
Feng Jie Sun
Keyword(s):  
Control System ◽  
Internet Of Things ◽  
Power Supply ◽  
Communication Protocol ◽  
Present Situation ◽  
Video Monitoring ◽  
Auxiliary System ◽  
Remote Transmission ◽  
System Optimal ◽  
Smart Substation

In order to solve the present situation that auxiliary facilities in substation separate from each other and unable to achieve intelligent interactive features, this paper presents the smart substation auxiliary control system based on the IoT (Internet of Things). The system monitors and controls the production auxiliary system of substation, and in the background using IEC61850 communication protocol to achieve the auxiliary production system internal and mutual coordination linkage and information remote transmission. The system integrates all the substation auxiliary facilities, including video monitoring subsystem, security subsystem, lighting subsystem, power supply subsystem and auxiliary system optimal control subsystem, providing smart substation of informatization, automation and interaction auxiliary support.

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