This paper applies ADRC algorithm to the inverted pendulum stabilization *** the extended state observer and control law can be nonlinear or linear,different combinations are designed to balance the pendulum's ***...
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ISBN:
(纸本)9781509046584
This paper applies ADRC algorithm to the inverted pendulum stabilization *** the extended state observer and control law can be nonlinear or linear,different combinations are designed to balance the pendulum's *** also offers a practical solution that the nonlinear parameters are tuned as the linear *** output response speed and control variable are compromised to determine the preferable *** showed that ADRC has good performance on stability,anti-interference and robustness.
The main-steam temperature of thermal power units is an important control parameter to the safety and economic operation of the thermal power plant. In this paper, an ADRC based cascade control strategy is adopted in ...
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The main-steam temperature of thermal power units is an important control parameter to the safety and economic operation of the thermal power plant. In this paper, an ADRC based cascade control strategy is adopted in main-steam temperature system and its parameters are optimized by an adaptive chaotic particle swarm optimization (ACPSO) algorithm. This parameters optimization method breaks through the limitations of the conventional bandwidth method and the optimal ADRC parameters could be founded automatically to meet the practical control requirements. Simulation results indicate that the optimal design method is feasible, and that the ACPSO-optimized ADRC has better performance.
In recent years,the rapid development of wind power,resulting in large scale wind power consumptive difficult,wind energy is *** volatility and randomness of wind also brings great difficulties to wind power grid ***,...
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ISBN:
(纸本)9781509046584
In recent years,the rapid development of wind power,resulting in large scale wind power consumptive difficult,wind energy is *** volatility and randomness of wind also brings great difficulties to wind power grid ***,based on the measured wind speed,a wind farm in Inner Mongolia area of our country in 2015 the power of data,from the analysis of the characteristics of wind power,the wind resource characteristics of abandoned wind characteristics,fluctuation characteristics and counter peaking characteristics and time *** research shows that the wind resource rich,serious abandoned wind,the maximum monthly rate of abandoned wind up to 28.7%days;output change rate is smaller,and the conventional power compensation device can timely carry on the output response;according to the ramp rate,you can select the appropriate unit to adapt to the fluctuation of wind power output of wind power operation;obviously,the anti-peaking,need further attention;wind power output characteristics of the time can be used to guide the grid *** to wind farm wind power characteristics,combined with the local power grid load situation,in order to develop a reasonable scheduling scheme.
This paper covers the application of the cross-correlation method for measuring the velocity of solid particles. Capacitive electrodes are used as primary sensors to measure the time required by the solid particles to...
This paper covers the application of the cross-correlation method for measuring the velocity of solid particles. Capacitive electrodes are used as primary sensors to measure the time required by the solid particles to cover a known distance between the electrodes. The capacitive variations of both the electrode sensors are stored in computer synchronously for offline estimation of the velocity of the solid particles. Single glass marble is used as a solid particle to conduct the performance in the lab for its good signal to noise ratio (SNR) and vivid graphs. Matlab R2018a is used as a programming tool to perform the cross-correlation algorithm. The distance between the sensors is adjusted optimally. The results were realistic to ensure the correctness of the system.
In pursuit of higher control performance and lower energy consumption in power generation process, an energy-saving generalized predictive control (ESGPC) algorithm is put forward in this paper based on the complex ch...
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In pursuit of higher control performance and lower energy consumption in power generation process, an energy-saving generalized predictive control (ESGPC) algorithm is put forward in this paper based on the complex characteristics of gas turbine in combined cycle power plant. The proposed algorithm has a novel form of objective function which takes the input variables of system as energy consumption indicator. Furthermore, in rolling optimization process of ESGPC, the input constraints are considered for the improvement of control performance and further energy conservation. The remarkable advantages of ESGPC are demonstrated through simulation experiment on gas turbine in combined cycle power plant.
In this paper, the privacy and security issues associated with the transactive energy system (TES) deployment over insecure communication links are addressed. In particular, it is ensured that (1) individual agents...
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Electric vehicles (EVs) have unparalleled advantages compared to traditional cars in energy saving and alleviating the dependence on fossil fuel. However, thousands of EVs charging at the same time will lead to bad im...
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Electric vehicles (EVs) have unparalleled advantages compared to traditional cars in energy saving and alleviating the dependence on fossil fuel. However, thousands of EVs charging at the same time will lead to bad impacts on the power grid, which may further increase the peak-valley difference and load fluctuation. This paper aims to find an optimal coordinated charging strategy of EVs with consideration of renewable energy involvement. Based on Particle Swarm Optimization (PSO) algorithm, a coordinated charging control method is developed. EV users' satisfaction and the proportion of abandoned renewable energy are chosen to be part of the objective function. Monte-Carlo method is employed to simulate the charging behaviors of EV users. Simulation results under uncoordinated and coordinated charging scenarios are compared and analyzed, which shows that the proposed method can effectively smoothen the system load curve.
Distributed energy systems with solar photovoltaic(PV) power grow rapidly in recent years in *** power forecasting is important for deep utilization and new exploitation of PV *** study advances power forecasting mode...
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ISBN:
(纸本)9781538629185
Distributed energy systems with solar photovoltaic(PV) power grow rapidly in recent years in *** power forecasting is important for deep utilization and new exploitation of PV *** study advances power forecasting modelling of PV systems using a method based on similar day selection and M5’ model trees.A one-day-ahead power output forecast model is derived for an experimental *** meteorological forecasting data,historical power output,and the M5’ model trees are integrated to build this model.A 1-kW amorphous silicon solar photovoltaic power experiment system is used to verify the validity of the proposed *** test results show that the forecasting model and the method are effective and promising.
In this paper we use the conformal transformation known as linear fractional transformation (LFT), with the purpose of generating a discrete multivariable closed-loop benchmark from continuous multivariable closed-loo...
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Tracking maneuvering target is a challenging problem and Interactive Multiple Model (IMM) is proved an effective solution for it. In multiple model, the constant turn model (CT) is usually used to describe the target&...
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Tracking maneuvering target is a challenging problem and Interactive Multiple Model (IMM) is proved an effective solution for it. In multiple model, the constant turn model (CT) is usually used to describe the target's turning motion. However, fixed or partially adaptive turn angular rate μ is usually adopted in CT which leads to tracking accuracy decrease. In this paper, an improved interactive multiple model set based on self-adaptive CT model is proposed. In self-adaptive CT model, the value of the turn angular rate ω is calculated based on both x and y velocity instead of only one of them or fixed value. To verify the improvement, particle filter, which is proved an effective way to solve non Gaussian nonlinear problem, is used to track maneuvering target. The performance of the proposed multiple model set is verified in two different scenarios and compared to two widely used multiple model sets. Simulation results show that the proposed model set has better performance both in tracking accuracy and computational cost.
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