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The purpose is to locate the fault of coal mine drainage system quickly and accurately, and then establish a fault diagnosis of the underground drainage fuzzy Petri net system model based on BP optimization algorithm. On the basis of the traditional fuzzy Petri net model, the BP optimization algorithm with momentum factor is added to improve the accuracy of the algorithm, the S-type continuous functions...
In many industrial applications, actuator redundancy is used to ensure the flexibility and safety of the system. The control allocation algorithm manages the control signals among the redundant actuators. In comparison with the other existing control allocation methods, the pseudo inverse approach can give the exact answer, has a lower computational cost, and is also simpler to realize. The only defect...
With the diversified development of electrical loads, and the large-scale integration of volatile renewable generations, power system operation, control and planning face the challenge of increasing injection uncertainties. In this paper, a new method for reference network considering nodal injection uncertainties is proposed. The actual operation mode optimization and reserve configuration of power...
In order to reduce the online calculation amount and improve the response speed, this paper proposes a robust model predictive control algorithm for nonlinear uncertain systems based on linear matrix inequality (LMI). The algorithm is divided into two parts: offline algorithm and online algorithm. In the offline algorithm, a sequence of asymptotically stable invariant ellipsoids and the corresponding...
Detection task allocation plays a significant role in many military applications. A better detection task allocation strategy can improve the operational efficiency of the military actions, such as improving tracking accuracy and attacking efficiency. However, the trajectory of the target is usually random which makes the allocation difficult to solve. In this paper, we consider the optimal detection...
Relief materials are transported to the disaster areas after natural disasters. This paper describes the substitution and collocation relationships among relief materials, and finds the maximum of the number of victims could be supplied by them. On this basis, this paper optimizes the loading density of relief materials by establishing and solving corresponding quadratic programming problems. The...
This article aims to the problems that the particle swarm optimization (PSO) algorithm has slow convergence and easy to fall into local optimum, provides an improved adaptive particle swarm optimization algorithm based on Levy flight mechanism (LFAPSO). The long jumps of Levy flight will step out of the local optimum in the local search. The convergence speed and accuracy of the LFAPSO algorithm are...
A Cooperated fruit fly optimization algorithm (CFOA) is proposed for knapsack problems. In CFOA, a group generating strategy is designed for generating the initial solution. A novel cooperation strategy is used to enhance the connection and communication between flies. A repair operator based on value-weight ratio of each item is employed to guarantee the feasibility of the solution and enhance the...
The health status assessment of power distribution areas (PDA) can provide a basis for the decision-maker to ascertain the unhealthy PDAs among multiple PDAs. In this paper, an evaluation indicator system of the health status of PDAs is established based on four evaluation indicators. A new data acquisition system is proposed in this paper to enhance the reliability of communication system. The evaluation...
At present, the detection of mixing uniformity in glass furnace batching system is mainly realized by artificial detection. However, this method is time-consuming and laborious, and there are some risks. For the problem of mixing uniformity detection, the nonlinear relation between the actual weight value and the mixing uniformity is established by the BP neural network, which can predict the mixing...
Path following is a fundamental problem for unmanned air vehicles (UAVs). In this paper, a Lyapunov stable path guidance law is designed to generate the course control command for a small UAV. The control parameters of the guidance law is optimized by the nonlinear model predictive control (NMPC) techinque. The relative simulations with the three different approaches: Lyapunov stable controller with...
With the aid of double-controller design concept and particle swarm optimization (PSO) algorithm, an internal model control (IMC) scheme with two-degree-of-freedom (TDF-IMC) based on PSO algorithm (PSO-TDF-IMC) is proposed, which is capable of controlling large time-delay processes. This method takes integral time absolute error (ITAE) index as objective function and uses PSO algorithm to optimize...
Hand-Eye Calibration (HEC) which is necessary in robotics is proposed to determine the relative transformations between the camera and the Inertial Measurement Unit (IMU) in this paper. We know HEC could be degenerated into the problem of solving an optimization issue for the homogeneous matrix composed of rotation and translation. After acquiring an initial estimation with Kronecker product and singular...
Firstly, this paper introduces lean production, intelligent manufacturing and the relationship between the two, presents the lean intelligent manufacturing model, illustrates the importance of process optimization in this manufacturing mode. Then, it analyzes the problems existing in urban rail vehicle assembly, points out that the urban rail vehicle assembly is far away from the industry 4.0. In...
In this paper, a new method for reference network considering network topology optimization is proposed. The actual operation mode optimization and the correction control with transmission switching under the contingency situation are taken into account in the proposed method. Based on the forecasted load values of each period in predictive multi-time scale and candidate transmission line schemes...
This paper studies a formation control problem for multiple mobile robot systems with model uncertainty. The formation is achieved by a distributed robust predictive control algorithm. Firstly, a distributed model of the formation system is derived by using the path tracking error dynamic of single mobile robot. Considering the error of linearization and measurement error caused by the accelerometer...
A novel decentralized method for harmonics detection and suppression is proposed. Compared with the traditional centralized style, harmonics optimal estimation task in micro-grid system is scattered to smart phasor measurement unit (PMU) nodes without a monitoring host. Similar to the structure, mechanism and characteristics of biological communities, a smart PMU can communicate with adjacent nodes...
To improve the accuracy of camera calibration, a novel method is proposed based on the calibration principle of Zhang's calibration method. Firstly, improve the accuracy of pixel point to the subpixel. Then, the cameras of binocular visual measurement system are calibrated by Zhang's calibration method preliminarily. Finally, in consideration of the lens radial distortion, the parameters are optimized...
Although many articles have shown that the control performance of interval type-2 fuzzy logic controllers (IT2 FLCs) is better than type-1 FLCs, the computational cost of it is high, which makes it hard to develop in the real world. Our previous research has recommended six TR approaches for their efficiency, but which one has the best performance is still an unknown problem. In the paper, IT2 FLCs...
Image denoising is an extensively studied problem and can be used in many applications. In this paper, we propose an image denoising method using GMM and gradient sparse priors. GMM is a generic model and usually built based on image patches. Despite the high likelihood of GMM for image patches, the model is learned from image patches only. The relationship of neighboring patches is not learned. The...
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