scholarly journals Adaptive Performance Tuning for Voltage-Sourced Converters with Frequency Responses

2020 ◽  
Vol 10 (5) ◽  
pp. 1884
Author(s):  
Weichao Zhang ◽  
Xiangwu Yan ◽  
Hanyan Huang
Keyword(s):  
Synchronous Generator ◽  
Parameter Tuning ◽  
Performance Tuning ◽  
Adaptive Performance ◽  
Synchronous Generators ◽  
Tuning Method ◽  
Frequency Responses ◽  
Adaptive Parameter ◽  
Primary Frequency ◽  
Inertia Response

Renewable generation brings both new energies and significant challenges to the evolving power system. To cope with the loss of inertia caused by inertialess power electronic interfaces (PEIs), the concept of the virtual synchronous generator (VSG) has been proposed. The PEIs under VSG control could mimic the external properties of the traditional synchronous generators. Therefore, the frequency stability of the entire system could be sustained against disturbances mainly caused by demand changes. Moreover, as the parameters in the emulation control processes are adjustable rather than fixed, the flexibility could be enhanced by proper tuning. This paper presents a parameter tuning method adaptive to the load deviations. First, the concept and implementation of the VSG algorithm performing an inertia response (IR) and primary frequency responses (PFR) are introduced. Then, the simplification of the transfer function of the dynamic system of the stand-alone VSG-PEI is completed according to the distributed poles and zeros. As a result, the performance indices during the IR and PFR stages are deduced by the inverse Laplace transformation. Then, the composite influences on the performances by different parameters (including the inertia constant, the speed droop, and the load deviations) are analyzed. Based on the composite influences and the time sequences, an adaptive parameter tuning method is presented. The feasibility of the proposed method is verified by simulation.

scholarly journals Strong Resonance Investigation and Suppression in PMSG integrated Power Systems

2020 ◽  
Vol 152 ◽  
pp. 03006
Author(s):  
Jianqiang Luo ◽  
Siqi Bu ◽  
Jiaxin Wen ◽  
Qian Hu ◽  
Yong Hu ◽  
...  
Keyword(s):  
Power Systems ◽  
Power System ◽  
Modal Analysis ◽  
Parameter Tuning ◽  
Open Loop ◽  
Small Signal Stability ◽  
Synchronous Generators ◽  
Tuning Method ◽  
Strong Resonance ◽  
Oscillation Modes

Permanent magnet synchronous generators (PMSGs) with full converters have been widely used in wind power generation due to its superior flexibility and controllability. However, under some circumstance, the oscillation modes of PMSG (POMs) may excite strong resonance with the electromechanical oscillation modes (EOMs) of the power system that degrades the power system small signal stability. In this paper, A two-open-loop subsystem model is firstly derived to analyze the oscillation modes. Then the POMs are investigated with modal analysis, the relationship between POMs and related controllers are clarified. On this basis, the strong resonance between PMSG and the external power system is revealed and identified. Furthermore, a five-step parameter tuning method is proposed to relocate the position of POM as well as suppress the strong resonance. Both modal analysis and time-domain simulations validate the effectiveness of the proposed method.

Adaptive parameter tuning for agent-based modeling and simulation

SIMULATION ◽  
2019 ◽  
Vol 95 (9) ◽  
pp. 771-796 ◽  
Author(s):  
Rabia Korkmaz Tan ◽  
Şebnem Bora
Keyword(s):  
Particle Swarm Optimization Algorithm ◽  
Heuristic Algorithms ◽  
Parameter Tuning ◽  
Agent Based Modeling ◽  
Critical Parameters ◽  
Second Step ◽  
Agent Based ◽  
Tuning Method ◽  
Adaptive Parameter ◽  
Bee Colony

The purpose of this study was to solve the parameter-tuning problem of complex systems modeled in an agent-based modeling and simulation environment. As a good set of parameters is necessary to demonstrate the target behavior in a realistic way, modeling a complex system constitutes an optimization problem that must be solved for systems with large parameter spaces. This study presents a three-step hybrid parameter-tuning approach for agent-based models and simulations. In the first step, the problem is defined; in the second step, a parameter-tuning process is performed using the following meta-heuristic algorithms: the Genetic Algorithm, the Firefly Algorithm, the Particle Swarm Optimization algorithm, and the Artificial Bee Colony algorithm. The critical parameters of the meta-heuristic algorithms used in the second step are tuned using the adaptive parameter-tuning method. Thus, new meta-heuristic algorithms are developed, namely, the Adaptive Genetic Algorithm, the Adaptive Firefly Algorithm, the Adaptive Particle Swarm Optimization algorithm, and the Adaptive Artificial Bee Colony algorithm. In the third step, the control phase, the algorithm parameters obtained via the adaptive parameter-tuning method and the parameter values of the model obtained from the meta-heuristic algorithms are manually provided to the developed tool performing the parameter-tuning process and they are tested. The best results are achieved when the meta-heuristic algorithms that were successful in the optimization process are used with their critical parameters adjusted for optimum results. The proposed approach is tested by using the Predator–Prey model, the Eight Queens model, and the Flow Zombies model, and the results are compared.

Study of Active Disturbance Rejection Control in Aero-Engine

2013 ◽  
Vol 344 ◽  
pp. 164-169
Author(s):  
Jiu Long Jiang ◽  
Xue Ren Li ◽  
Jun Du ◽  
Chen Wu
Keyword(s):  
Parameter Optimization ◽  
Disturbance Rejection ◽  
Parameter Tuning ◽  
Active Disturbance Rejection Control ◽  
Tuning Method ◽  
Adaptive Parameter ◽  
Active Disturbance Rejection ◽  
Disturbance Rejection Control ◽  
Aero Engine ◽  
On Line

The control problem of certain type of aero-engine is studied in the article. And active disturbance rejection control (ADRC) is applied into the control of aero-engine. In light of the problem of parameter optimization in ADRC, through the principle of parameter optimization analysis, rule of parameter optimization is revealed in this article. Based on parameter optimization rule, an adaptive parameter optimization law is designed to optimize the parameter of ADRC by on-line adaptive parameter tuning method. Some conclusions are suggested by the simulation result: compared with PID controller, that the ADRC controller is proved better in responding time, overshoot, steady-state error, disturbance rejection performance and control performance.

scholarly journals An MEA-Tuning Method for Design of the PID Controller

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Yongli Zhang ◽  
Lijun Zhang ◽  
Zhiliang Dong
Keyword(s):  
Pid Controller ◽  
Industrial Process ◽  
Optimal Solution ◽  
Design Feature ◽  
Parameter Tuning ◽  
Parallel Structure ◽  
Evolutionary Information ◽  
Tuning Method ◽  
Efficiency And Effectiveness ◽  
Global Optimal

The optimization and tuning of parameters is very important for the performance of the PID controller. In this paper, a novel parameter tuning method based on the mind evolutionary algorithm (MEA) was presented. The MEA firstly transformed the problem solutions into the population individuals embodied by code and then divided the population into superior subpopulations and temporary subpopulations and used the similar taxis and dissimilation operations for searching the global optimal solution. In order to verify the control performance of the MEA, three classical functions and five typical industrial process control models were adopted for testing experiments. Experimental results indicated that the proposed approach was feasible and valid: the MEA with the superior design feature and parallel structure could memorize more evolutionary information, generate superior genes, and enhance the efficiency and effectiveness for searching global optimal parameters. In addition, the MEA-tuning method can be easily applied to real industrial practices and provides a novel and convenient solution for the optimization and tuning of the PID controller.

Simple PID parameter tuning method based on outputs of the closed loop system

2016 ◽  
Vol 29 (3) ◽  
pp. 465-474 ◽  
Author(s):  
Jianda Han ◽  
Zhiqiang Zhu ◽  
Ziya Jiang ◽  
Yuqing He
Keyword(s):  
Closed Loop ◽  
Parameter Tuning ◽  
Loop System ◽  
Closed Loop System ◽  
Tuning Method

Research on Adaptive PID Control for Load Simulator with Varying Load

2014 ◽  
Vol 568-570 ◽  
pp. 1031-1035
Author(s):  
Ju Tian ◽  
Yao Chen
Keyword(s):  
Pid Control ◽  
Simple Structure ◽  
Control Method ◽  
Parameter Tuning ◽  
Hardware In The Loop ◽  
Tuning Method ◽  
Hydraulic Load ◽  
Variation Characteristics ◽  
Load Simulator ◽  
Adaptive Pid Control

The electro-hydraulic load simulator is an important equipment for aircraft hardware-in-the-loop simulation. An adaptive PID control method for compensating extraneous torque with simple structure and easy to implement is proposed according to the variation characteristics of load gradient in the load simulator. The control parameter tuning method is also given.

Reset and prescribed performance approach to spacecraft attitude regulation

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chengxi Zhang ◽  
Peng Dong ◽  
Henry Leung ◽  
Jin Wu ◽  
Kai Shen
Keyword(s):  
Attitude Control ◽  
Control Policy ◽  
Parameter Tuning ◽  
High Gain ◽  
Performance Tuning ◽  
Spacecraft Attitude ◽  
Spacecraft Attitude Control ◽  
Content Type ◽  
Exogenous Disturbances ◽  
Reset Control

Purpose This paper aims to investigate the attitude regulation for spacecraft in the presence of time-varying inertia uncertainty and exogenous disturbances. Design/methodology/approach The high gain approaches are typically used in existing researches for theoretical advantages, bringing better performance but sensitive to parameter selection, making the controller conservative. A reset-control policy is presented to achieve the spacecraft attitude control with easy control parameter tuning. Findings The reset-control policy guarantees satisfying control performance despite using performance tuning function and saturation function besides reducing the conservativeness of the controller, thus reducing the effort in tuning control parameters. Originality/value Notably, the adaptive function owns a reset mechanism, which is reset to a preset condition when the controlled variable crosses zero. The mathematical analysis also shows the system trajectory can converge to a set centered at the origin.

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