scholarly journals An iterative identification algorithm and its convergence analysis of closed-loop power system based on ambient signals

2021 ◽  
Vol 2121 (1) ◽  
pp. 012004
Author(s):  
Weijie Du ◽  
Miao Yu ◽  
Jinglin Li ◽  
Shouzhi Zhang ◽  
Jingxuan Hu
Keyword(s):  
Power System ◽  
Closed Loop ◽  
Stable Equilibrium ◽  
Controller Design ◽  
Dynamic Performance ◽  
Model Identification ◽  
Identification Algorithm ◽  
Iterative Identification ◽  
Model Set ◽  
And Control

Abstract Identification and control are important problems of closed-loop power system. At present, most studies are separate identification methods. This paper studies an online and real-time integrated identification method, which can solve the problems of model set and controller design of closed-loop power system. This paper investigates a new iterative identification algorithm and its convergence problem of closed-loop power system based on ambient signals. Firstly, the whole algorithm procedure is given. This algorithm uses the iterative process under the closed-loop condition, which combines system model identification with controller design. Then the complementary of model identification and control design has been realized. Secondly, because of the dynamic performance of the iterative identification algorithm, it has characteristics described from the perspective of a partitioned dynamic system. Regard each iterative identification step as a state node. In this situation, the algorithm guarantees all the state nodes converge to the Lyapunov stable equilibrium. Finally, the simulation results show the correctness and effectiveness of the proposed method through the simulation of a power system with four-machine-two-region.

A New Iterative Identification and Control Method of Closed-Loop Power System Based on Ambient Signals

2015 ◽  
Vol 798 ◽  
pp. 261-265
Author(s):  
Miao Yu ◽  
Chao Lu
Keyword(s):  
Power System ◽  
Closed Loop ◽  
Control Method ◽  
Controller Design ◽  
Design Method ◽  
Stability Margin ◽  
System Stability ◽  
Iterative Identification ◽  
Effective Performance ◽  
And Control

Identification and control are important problems of power system based on ambient signals. In order to avoid the model error influence of the controller design, a new iterative identification and control method is proposed in this paper. This method can solve model set and controller design of closed-loop power system. First, an uncertain model of power system is established. Then, according to the stability margin of power system, stability theorem is put forward. And then controller design method and the whole algorithm procedure are given. Simulation results show the effective performance of the proposed method based on the four-machine-two-region system.

Study on the Optimum Location of PSS in Power Systems

2014 ◽  
Vol 1070-1072 ◽  
pp. 892-896
Author(s):  
Fu Xia Wu ◽  
Jian Rong Gong ◽  
Jun Xie ◽  
Ying Jun Wu
Keyword(s):  
Power Systems ◽  
Power System ◽  
Closed Loop ◽  
Power System Stabilizer ◽  
Control Effect ◽  
Factor Method ◽  
System Stabilizer ◽  
And Control ◽  
System Power ◽  
Participation Factor

Power system stabilizer in a power system is a closed-loop controller. The conventional participation factor method just considers the effect of PSS input signal. When the system stress is heavier, it may give misleading results. Based on the participation factor of modal analysis, an integrative participation factor is proposed to determine the optimum PSS location. The integrative participation factor takes into account both the input and control effect of PSS controllers. The case studied in 2-area 4-generator power system power system confirms that the integrative participation factor is more reasonable and effective than the participation factor method.

Modeling and Control of a Teletruck Using Electronic Load Sensing

2010 ◽  
Author(s):  
Rico H. Hansen ◽  
Asger M. Iversen ◽  
Mads S. Jensen ◽  
Torben O. Andersen ◽  
Henrik C. Pedersen
Keyword(s):  
Power System ◽  
Controller Design ◽  
Dynamic Performance ◽  
Pressure Control ◽  
Control Flow ◽  
Fluid Power ◽  
Modeling And Control ◽  
Load Sensing ◽  
Fluid Power System ◽  
Electronic Load

In mobile hydraulic application the actuating fluid power system is most commonly controlled using a hydro-mechanical control scheme called Hydraulic Load Sensing (HLS). However, with the demands for increased efficiency and controllability the HLS solutions are reaching their limits. Motivated by availability of electronic controllable fluid power components and the potential of increased dynamic performance and efficiency, this paper investigates how HLS can be replaced with electronic control, i.e. Electronic Load Sensing (ELS). The investigation is performed by taking a specific application, a teletruck, and replace the HLS control with ELS. To aid the controller design for the ELS system, a complete model of the teletruck’s articulated arm and fluid power system is developed. To show the feasibility, a preliminary control structure for the ELS system is developed. The controller is tested on the machine, validating that features such as pump pressure control, flow sharing and over pressure protection can be implemented using ELS and with improved energy efficiency.

Multi-Objective Robust Decentralized Control for the Interconnected Fuzzy Singularly Perturbed Models

2012 ◽  
Vol 182-183 ◽  
pp. 1200-1205
Author(s):  
Ye Nan Hu ◽  
Fu Chun Sun
Keyword(s):  
Decentralized Control ◽  
Closed Loop ◽  
Control Method ◽  
Dynamic Performance ◽  
Singularly Perturbed ◽  
Disturbance Attenuation ◽  
Closed Loop System ◽  
Multi Objective ◽  
Robust Decentralized Control ◽  
And Control

A multi-objective robust decentralized control method is proposed for the interconnected fuzzy singularly perturbed models. Such decentralized controller can guarantee the whole closed-loop system is asymptotically stable even when the multi-time-scale subsystems are interactional. Besides, the disturbance attenuation performance, dynamic performance and control amplitude can be optimized synthetically. The simulations illustrate the effectiveness of the proposed method.

scholarly journals DYNAMICS OF PROPORTIONAL SPEED CONTROL VERSUS SERVO SPEED CONTROL OF A HOSE / CABLE SPOOLING DEVICE FOR WINCH

2020 ◽  
Vol 61 (2) ◽  
pp. 350-359
Author(s):  
Alexandru-Polifron Chirita ◽  
Marian Blejan ◽  
Teodor-Costinel Popescu ◽  
Ana-Maria Popescu
Keyword(s):  
Closed Loop ◽  
Dynamic Performance ◽  
Control Valve ◽  
Speed Control ◽  
Hydraulic Cylinder ◽  
Directional Control ◽  
First Case ◽  
Control Versus ◽  
And Control ◽  
Directional Control Valve

This article presents and analyses in two cases the dynamic performance of regulation and control of the linear speed of an electro-hydraulically driven mechatronic axis. In the first case, the flow control is performed with a proportional hydraulic directional control valve, while in the second case the control is performed with a servo-valve. The linear mechatronic axis is part of a complex subsystem used in both agriculture and industry, that allows the precise winding of a hose / cable on a drum with the help of a spooling device, which conditions the positioning of the hose. The speed control of the hydraulic cylinder with bilateral rod on whose liner the spooling device is fixed is performed in a closed loop with the help of transducers and a programmable controller (PLC).

scholarly journals AGC of a multi sources power system with natural choice of power plants

2019 ◽  
Vol 7 (1) ◽  
pp. 105-128 ◽  
Author(s):  
Jitendra Kumar Garg ◽  
Anita Khosla ◽  
Nizamuddin Hakimuddin
Keyword(s):  
Control Theory ◽  
Power System ◽  
Case Studies ◽  
Power Plants ◽  
Closed Loop ◽  
Dynamic Performance ◽  
Thermal Power ◽  
Stability Margin ◽  
Thermal Power Plants ◽  
Natural Choice

This paper presents an application of optimal control theory in multi sources power system by considering natural choice of power plants participating in automatic generation control (AGC) scheme. However, for successful operation of large power system, the natural choices of generation suitable for AGC system are hydro and thermal power plants since gas and nuclear power plants are rarely participates in the AGC scheme. Therefore, this work presents design and implementation of proportional integral (PI) structured optimal AGC controller in the presence of hydro and thermal power plants by using state vector feedback control theory. Moreover, various case studies are identified to obtain: (i) Cost aspects of physical realization of optimal AGC controller, (ii) Closed loop system stability margin through patterns of eigenvalues and (iii) System dynamic performance. Further, results have shown that when optimal AGC scheme is implemented in power system, the dynamic performance of power system is outstanding over those obtained with genetic algorithms (GAs) tuned PI structured AGC controller. Besides, with optimal AGC controller, cheaper cost of control structure, increased in system closed loop stability margin and outstanding dynamic performance of power system have been found when lessening in hydro generation is replaced by generation from thermal power plants for various case studies under investigation.

scholarly journals Modeling of Autonomous Underwater Vehicles with Multi-Propellers Based on Maximum Likelihood Method

2020 ◽  
Vol 8 (6) ◽  
pp. 407
Author(s):  
Feiyan Min ◽  
Guoliang Pan ◽  
Xuefeng Xu
Keyword(s):  
Maximum Likelihood ◽  
Controller Design ◽  
Autonomous Underwater Vehicles ◽  
Underwater Vehicles ◽  
Likelihood Method ◽  
Hydrodynamic Characteristics ◽  
Identification Algorithm ◽  
Modeling And Control ◽  
Good Convergence ◽  
And Control

The hydrodynamic characteristics of multi-propeller autonomous underwater vehicles (AUV) is usually complicated and it is difficult to obtain an accurate mathematical model. A modeling method based on CFD calculation and maximum likelihood identification algorithm is proposed for this problem. Firstly, rough hydrodynamic parameters of AUV hull are obtained by CFD calculation. Secondly, on the basis of rough parameters, a maximum likelihood identification algorithm is proposed to adjust the parameters and improve the model precision. Besides, the method to improve the convergence of identification algorithm is analyzed by considering the characteristics of AUV model structure. Finally, the identification algorithm and identification results were validated with experimental data. It was found that this method has good convergence and adaptability. In particular, the identification results of turning force and torque parameters are highly consistent in different identification experiments, which indicates that this method can well extract the maneuvering characteristics of AUVs, thus contributing to the controller design of AUVs. The research of this paper has potential application for the modeling and control of multi-propeller AUVs.

Analysis and Control of Multi-Mode Axial Flow Compression System Models1

1999 ◽  
Vol 122 (3) ◽  
pp. 393-401 ◽  
Author(s):  
MingQing Xiao ◽  
Tamer Bas¸ar
Keyword(s):  
Closed Loop ◽  
Controller Design ◽  
Axial Flow ◽  
Pressure Rise ◽  
Open Loop ◽  
Rotating Stall ◽  
Flow Compression ◽  
The Right ◽  
And Control ◽  
Multi Mode

The paper studies the behavior of multi-mode systems of the Moore-Greitzer model. Its main result is the existence of a parameterized nonlinear state feedback controller which stabilizes the system to the right of the peak of the compressor characteristic. In this process, a rotating stall envelope surface is discovered, and it is shown that the controller design achieves the tasks of preventing the closed-loop system from entering either rotating stall or surge, and making the closed-loop pressure rise coefficient be able to approach its maximum. Numerical simulations of the open-loop and closed-loop models are presented to illustrate the analysis and the results. [S0022-0434(00)00803-0]

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