Dynamic Economic emission dispatch (DEED) considering transmission loss and valve-point effect is a non-linear constrained multi-objective optimization problem in thermal power system. The objective function of this problem is non-smooth and non-convex. To tackle this problem, a Pareto-based multi-objective marginal differential evolution (MMDE) algorithm is proposed. In proposed algorithm, a heuristic correction method is studied to handle the active power operating constraint, generator ramp-up and ramp-down rate constraints. A marginal analysis correction method is presented to handle the power balance constraint and dynamic adjust load step in the optimization process. Meanwhile, an improved fuzzy-based mechanism is proposed to determine best compromise non-dominated solution. The experimental results demonstrate that MMDE algorithm has better global search ability and is superior to other multi-objective optimization algorithms with continuous 24-h period.

Because of the influence of the external environment, such as solar radiation and temperature, photovoltaic grid-connected power generation system can’t export power continuously and stably. Combined with advantages of battery and super capacitor, a hybrid energy storage system is constituted, which could smooth the grid-connected power relatively. In this paper, the structure of a hybrid energy storage system composed by super capacitor and battery is studied, control strategy and PID setting of hybrid energy storage system are proposed. Simulation model is put forward based on MATLAB, simulation results show that the hybrid energy storage system can level off photovoltaic power, the maximum power fluctuation is less than 5%. Therefore, it shows that the structure of hybrid energy storage system and the control strategy are reasonable and feasible.

随着互联网技术的发展,网络课程已经成为高校课堂教学的有益补充和扩展.根据控制系统与仿真网络课程的建设需求,构建网络课程建设的课程体系,从教学内容、教学方法、教学手段等方面对控制系统与仿真的网络课程建设进行研究与实践,满足学生自主学习与协作学习、师生互动学习等意识,达到提升教学效果和提高教学质量的目的.

Traditional manual sorting operation is not suitable for the development of Chinese logistics. For better sorting packages, a QR code recognition technology is proposed to identify the QR code label on the packages in package auto-sorting system. The experimental results compared with other algorithms in literatures demonstrate that the proposed method is valid and its performance is superior to other algorithms.

随着电子商务的快速发展,传统人工分拣作业方式已不能满足现代物流分拣的需求,因而,就有必要对自动分拣技术进行研究。在交叉带式分拣机系统中,上包台系统直接影响到整个包裹分拣系统的性能和效率。因此,为了满足中通快递的快速、高效分拣,提出对交叉带式分拣机的上包控制系统进行设计研究。为提高包裹的自动分拣效率,上包台系统提出采用三级传送带结构,且上包台与输送装置成45°。经系统调试,此物流交叉分拣机的上包台系统上包效率高,准确性高、稳定性好。

To improve the precision and performance of shearing machine, a servo control system with servo motor, PLC and touch screen is investigated in this paper. By this servo control system, position auto detection and quantity auto detection can be achieved. The practical results demonstrate that the servo control system has high machining precision and high reliability, and it can improve work efficiency. Keywords: Servo Control, PLC, Touch Screen

Economic emission dispatch (EED) problem is a non-linear constrained multi-objective optimization problem with two competing and conflicting objectives. In this paper, an improved multi-objective binary differential evolution (IMBDE) algorithm is proposed to solve the EED problem. In the proposed algorithm, a marginal analysis correction operator is presented to handle various system constraints. The simulation results demonstrate that the proposed algorithm is valid in solving the EED problem and its performance is superior to other approaches.

Economic emission dispatch (EED) in the power system is a non-linear constrained multi-objective optimization problem. In this paper, a new chaotic optimization algorithm for solving this complex problem is proposed. Two forms of logistic maps and marginal analysis for optimization are used in the proposed algorithm. The simulation results obtained by the proposed algorithm are compared with those of chaotic optimization algorithm and other approaches reported in recent literatures. The comparison results demonstrate the effectiveness of the proposed algorithm in solving the multi-objective EED problem.

Both theory and experiment work are the basis of simulation. Simulation is not the model-based experiment, but rather an extension of experiment. At a methodology perspective, theory through deduction and experiment through induction acquire new knowledge, while simulation obtains new knowledge through analogism. Therefore, simulation has become the third basic activity for knowing the world following theoretical study and experiment.

Human bronchial tree is breath passage between pulmonary capillary vessel and fresh air and it is a key part of the human respiratory system. Clinical experience shows that abnormal or diseases of the respiratory system often occur at some bifurcated segments of the bronchial tree. Therefore, for better diagnosis and treatment of such diseases, it is necessary to investigate morphology structure of human bronchial tree and its internal airflow dynamics. In this paper, approaches for the modeling of bronchial tree are outlined based on the morphology structure data obtained from the two sources, i.e. anatomical experiments and CT/MRI. In addition, the simulation of airflow in bifurcating airways is summarized from the aspect of simulation methods and CFD. Finally, possible future research is suggested to develop: (1) a universal dynamic model of the airflow in the bronchial tree; and (2) a user-friendly software package for modeling and simulation.

In this paper,a monitoring and control system of erythromycin fed-batch fermentation process is designed by using VB,MATLAB and SQL Server.The measured values of some process variables,such as temperature,pH,dissolved oxygen and rotate speed n etc.,are collected and processed.A neural network is used to estimate three important variables such as hypha density,total sugar density and product density,based on the measured pH and dissolved oxygen levels.The relevant control variables of process variables are transmitted to a lower computer to control the process variables in real time according to the measured process variables.This system has good capabilities in data processing and image display and of being convenient to realize the real-time monitoring and automatic control of the fermentation process using the monitoring interface.It can also optimize the production craft and improve equipment usability.

According to the temperature characteristic in the biology fermentation process,the temperature in the fermentation process was automatically controlled by the fuzzy-PID control algorithm,and the fuzzy-PID progress control system was simulated by Simulink and Fuzzy of MATLAB.Its application in actual device shows that,comparing normal PID control,the method has effectively kept the fermentation temperature in an optimum biology fermentation range,which increasing the control precision,reducing the static error and the adjustment process time,and displayed the Fuzzy PID merit.

本文设计了发酵过程的监控系统,利用VB实现了上位机与多通道分布式下位机之间的串行通信,以及上位机监控界面的设计,具有强大的数据处理能力和图像显示能力,并可通过数据传送对下位机进行控制,方便地实现了对发酵过程的实时监控.