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This paper proposes a model free adaptive cascade control scheme for superheated steam temperature regulation, in which a model free adaptive (MFA) controller is designed as the primary controller in the outer loop. The implementation procedures of the proposed cascade control approach are summarized. Simulation results demonstrate that the proposed control methodology achieves better performances...
In this paper, the operating conditions of vehicle internal combustion engine (ICE) waste heat utilization system are monitored by improved support vector machines (SVMs). Organic Rankine Cycle (ORC) is used to recover the ICE waste heat. Several optimal approaches are employed when training SVMs. The improved SVMs are then employed to monitor the operating conditions of the ICE waste heat recovery...
In this paper, a nonlinear model is established for wind energy conversion systems (WECSs) under the rated wind speed. An improved control approach is then proposed for the WECS to deal with non-Gaussian disturbance induced by wind speed. Finally, simulation results show the effectiveness of the improved control approach.
The state monitoring issue of the induced draft fan in a thermal power plant by employing the gravitational searching algorithm optimized BP neural network is investigated in this paper. A new method to estimate the air quantity of the induced draft air of a thermal power plant is proposed based on the historical operation data extracted from the supervisory information system (SIS). In order to predict...
The problem of the wind turbine gearbox fault diagnosis was investigated by employing the support vector machine (SVM), which is optimized by the improved fruit fly intelligent algorithm with decreasing steps. First of all, the fault characteristic value extracted by Hilbert transform envelope is presented. Secondly, the general SVM solution to the wind turbine gearbox fault diagnosis problem is presented,...
Precise fault diagnosis of the pitch system in wind turbines is essential and is of practical significance for evaluating it by the usage of the SCADA (Supervisory Control And Data Acquisition) system. Firstly, the fault mechanism of the pitch system is investigated, including the source classification of the faults, and their direct connections with the SCADA data. Secondly, state feature extraction...
An improved control strategy is presented for shaping control of stochastic distribution systems based on numerical subspace state space system identification (N4SID) method. The proposed controller aims at driving the output shape to follow the target shape, consequently, the product quality can be guaranteed while material consumption can be reduced in industrial processes. Additionally, the energy...
The complex characteristics of coordinated control system (CCS) have cause enormous obstacles in the improvements of control performance and energy-saving efficiency. In this paper, an improved constrained generalized predictive control (ICGPC) algorithm is put forward and applied to the control of CCS in supercritical unit of power plant. The input variables of system are added to objective function...
In this paper, a novel performance assessment benchmark based on survival information potential (SIP) is proposed for the superheated steam temperature cascade control system with non-Gaussian noises. Firstly, in order to characterize the randomness of system, SIP is adopted to formulate the optimization criterion for calculating the primary controller. The secondary controller is selected to be a...
In this paper, a data-driven approach to tuning PID parameters is presented for non-Gaussian systems. Model predictive control (MPC) algorithm is used to formulate the PID parameters tuning problem. The survival information potential (SIP) is employed to constructed the performance index to optimize PID parameters for non-Gaussian systems. The proposed PID controller parameter tuning method is then...
Organic carrier is the main factor affecting the morphology of the glass frit sintering, and the shape of the sintering determines the quality of the laser encapsulation. In this work, the volatility of single solvent and mixed solvent have been analyzed, and the sintered temperature curve has been optimized. After the sintering, scanning electron microscopy (SEM) images of the single solvent and...
In this paper, the regularization method and the Fourier domain deconvolution method with filter applied are used respectively for the operations of differentiation and deconvolution in the network identification by deconvolution (NID) process. The signal-to-noise ratio of the time-constant function is estimated as an evaluation of the result errors. The choosing criterion and influences of the parameters...
With the rapid development of modern microelectronics and optoelectronics technology, a novel potential sealing method,Laser-assisted glass frit bonding (hereafter referred to as Laser bonding), are proposed for encapsulating electronic, optical, and miniature micro-mechanical devices that require a hermetic seal with long-term stability. In this work, we fabricated two kinds of glass pastes which...
In this study, a general U-model based design procedure is expanded to super twisting control of nonlinear polynomial systems, which is named as U-super twisting control in short. A discrete time super twisting reference model is proposed with proper convergence precision and convergence time for nonlinear dynamic plants including non-affine systems. Two bench test examples (non-affine plants which...
The Organic Rankine Cycle (ORC) is a promising technique to recover low grade waste heat, and thus helps to improve the overall thermal efficiency of a process and reduce the environmental impact of large consumption of fossil fuels. A proper control strategy is a key for the safe and efficient operation of the ORC systems. In this paper, the key components in the ORC system are introduced first....
Three-dimensional multiple-input multiple-output (3D MIMO) is one of the most promising techniques for the fifth-generation (5G) mobile communication systems. In order to catch the the propagation characteristics of the 3D channel, extensive measurements have been carried out. Although outdoor to indoor (O2I) scenarios is one of the main propagation of 3D MIMO channel, it remains too much work to...
The range of candidate bands considered for 5G wireless systems extends from 6-100 GHz. In this paper we examine the impact of key parameters of millimeter-wave (mmWave) and microwave channel models on various system performance metrics, e.g., spectral efficiency, eigenvalue structure and convergence to massive multiple-input multiple-output (MIMO) properties. We consider 6 spatial channel model (SCM)...
It is necessary to study the spatial evolution of clusters in massive multiple-input multiple-output (MIMO) mobile channel, which is one of the important features in cluster-based models. In this paper, we analyze the data collected from the massive MIMO mobile measurement campaign, with a 256-element virtual array at 3.5 GHz in line of sight (LoS) and non line of sight (NLoS) conditions, respectively...
Geometry-based stochastic model (GBSM) of multiple input multiple output (MIMO) channel describes the channel impulse response (CIR) in the sense of rays and clusters, which obey the empirical distributions. Thus, the correlation between MIMO sub-channels is not explicitly defined, which makes it difficult for GBSM to predict channel capacity accurately. Facing the increased antenna number of massive...
Results of recent measurement campaigns demonstrate a significant increase in the degrees of freedom introduced by the elevation domain, and consequently, a large capacity gap as predicted by 3D and 2D MIMO channel models. To gain further insight into the effects of the elevation domain on MIMO system performance, we derive new spatial correlation (SC) expressions for 3D and 2D channel models, given...
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