阳春华
主要研究方向为复杂工业过程建模与优化控制、智能自动化控制系统与装置、故障诊断和实时系统容错调度技术等。
个性化签名
- 姓名:阳春华
- 目前身份:
- 担任导师情况:
- 学位:
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学术头衔:
博士生导师
- 职称:-
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学科领域:
毛皮与制革工程
- 研究兴趣:主要研究方向为复杂工业过程建模与优化控制、智能自动化控制系统与装置、故障诊断和实时系统容错调度技术等。
阳春华教授,1985年、1988年本科和研究生毕业于中南工业大学,获学士和硕士学位,在职学习获博士学位,1995年晋升副教授,1999年拔尖晋升正教授,1999-2001年作为访问教授在比利时Kuleuven大学从事容错技术研究。
长期以来,一直从事自动控制技术和计算机应用领域的科研与教学工作,主持和参加国家自然科学基金、863计划、高技术产业化、技术创新基金、973计划以及重大厂校合作科研项目20多项,获国家科技进步二等奖1项,省部级科技进步一等奖2项、二等奖6项、三等奖4项。公开发表学术论文80多篇,多篇发表在《Control Engineering Practice》、《IEEE Transactions on Neural Networks》、《IEEE Transactions on Industrial Applications》等国际高水平刊物和《自动化学报》、《计算机学报》、《控制理论与应用》等国内知名刊物,获省自然科学一等、二等优秀论文奖各1项,EI收录18篇、SCI收录7篇,ISTP收录2篇。主要研究方向为复杂工业过程建模与优化控制、智能自动化控制系统与装置、故障诊断和实时系统容错调度技术等。
现为中南大学信息科学与工程学院教授、博士生导师,控制工程系主任,中国自动化学会应用专业委员会委员,中国有色金属学会计算机与自动化学术委员会秘书长,中国人工智能学会智能控制与智能管理专业委员会委员,湖南省自动化学会理事。
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成果数
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阳春华, 桂卫华
计算机应用,1999,19(4):37~39,-0001,():
-1年11月30日
将基于知识的规则模型和解析的数学模型有机结合,建立两级结构的实时专家控制系统(ECS)。由具有专家自学习功能的实时专家系统(ES)以专家优化方式寻找电解液最优酸锌含量比和最优温度,由实时控制系统(RTCS)控制新液流量、总地槽液位和冷却风机状态,保证生产过程在最优生产条件下进行。本文介绍了系统结构、专家优化技术、实时控制技术和系统实现。
锌电解过程,, 实时专家系统,, 专家自学习,, 实时控制
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【期刊论文】Hybrid intelligent control of gas collectors of coke ovens*
阳春华, Chunhua Yang a, *, Min Wu a, Deyao Shen a, Geert Deconinck b
Control Engineering Practice 9(2001)725-733,-0001,():
-1年11月30日
Stable pressure of gas collectors is beneficial to prolonging coke oven's life-time, consuming less energy and decreasing pollution. However, it is difficult to stabilize the pressure with conventional control methods because the collectors' pressure system is a timevarying, nonlinear multi-variable system that is strongly inter-coupled and disturbed. In this paper, a hybrid control approach that incorporates PID control withfeedforward control and expert control is presented. It integrates simplicity, reliability, flexibility and promptness in restraining disturbance by making full use of each method's advantages. The hybrid intelligent control system has been built to control the pressure of gas collectors. The results of actual runs show the effectiveness.
Gas collector, Pressure control, PID control, Feedforward control, Expert systems, Intelligent control
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【期刊论文】Fault-Tolerant Scheduling for Real-Time Embedded Control Systems
阳春华, Chun-Hua Yang, Geert Deconinck, and Wei-Hua Gui
J. Comput. Sci. & Technol., Mar. 2004, Vol. 19, No.2, pp. 191-202,-0001,():
-1年11月30日
With the increasing complexity of industrial application, an embedded control system (ECS) requires processing a number of hard real-time tasks and needs fault-tolerance to assure high reliability. Considering the characteristics of real-time tasks in ECS, an integrated algorithm is proposed to schedule real-time tasks and to guarantee that all real-time tasks are completed before their deadlines even in the presence of faults. Based on the nonpreemptive critical-section protocol (NCSP), this paper analyzes the blocking time introduced by resource con icts of relevancy tasks in fault-tolerant multiprocessor systems. An extended schedulability condition is presented to check the assignment feasibility of a given task to a processor. A primary/backup approach and on-line replacement of failed processors are used to tolerate processor failures. The analysis reveals that the integrated algorithm bounds the blocking time, requires limited overhead on the number of processors, and still assures good processor utilization. This is also demonstrated by simulation results. Both analysis and simulation show the e ectiveness of the proposed algorithm in ECS.
embedded control system,, real-time task scheduling,, fault-tolerance,, relevancy task,, blocking time
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阳春华, Chunhua Yang, Geert Deconinck, Senior Member, IEEE, and Weihua Gui
IEEE TRANSACTIONS ON INDUSTRIAL, ELECTRONICS. VOL. 50, NO.5M OCTOBER 2003,-0001,():
-1年11月30日
This paper describes an optimization prolem to minimize the cost of power consumption for the electrochemical porocess of zinc (EPZ) depending onvarying prices of electrical power. Ae series of conditional experiments was conducted to obtain enough data, whic reflect the complex relationships among the factors influecing power consumption. Two backpropagation neural networks are used to build a process model that describes these relationships. An equivalent Hopfield neural network is cnstructed to solve this nonlinear optimization poroblem with tcchnological constraints, a penalty function is introduced into the network energy function to meet the equality constraints, and inequality constraints are removed by altering the sigmoid function. An optimal power-dispatching control system (OPDCS) has been developed to provide an optimal power-dispatching scheme and keep the ePZ running economically. Since the OPDCS was put into service in a smeltery, the cost of power consumption has decreased significantly, and cost of power consumption has decreased significantly, and it also contrbutes to halancing the power grid load.
Backpropagation neural network (, BPNN), ,, electrochemical process of zinc (, EPZ), ,, Hopfield neural network (, HNN), ,, optimization,, power dispatching,, varying pricesof electrical power.,
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阳春华, Chunhua Yang, Geert Deconinck, Senior Member, IEEE, Weihua Gui, and Yonggang Li
IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 13, NO.1, JANUARY 2002,-0001,():
-1年11月30日
Depending on varying prices of electricity, an optimal power-dispatching system (OPDS) is developed to minimize the cost of power consumption in the electrochemical process of zinc (EPZ). Due to the complexity of the EPZ, the main factors influencing the power consumption are determined by qualitative analysis, and a series of conditional experiments is conducted to acquire sufficient data, then two backpropagation neural networks are used to describe these relationships quantitatively. An equivalent Hopfield neural network is constructed to solve the optimization problem where a penalty function is introduced into the network energy function so as to meet the equality constraints, and inequality constraints are removed by alteration of the Sigmoid function. This OPDS was put into service in a smeltery in 1998. The cost of power consumption has decreased significantly, the total electrical energy consumption is reduced, and it is also beneficial to balancing the load of the power grid. The actual results show the effectiveness of the OPDS. This paper introduces a successful industrial application and mainly presents how to utilize neural networks to solve particular problems for the real world.
Electrochemical process of zinc (, EPZ), ,, neural networks,, optimization,, power-dispatching,, varying prices of electricity.,
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阳春华, 桂卫华, 计莉
计算机学报,2003,26(11):1479~1486,-0001,():
-1年11月30日
提出了一种混合实时任务容错调度算法。该算法采用Rate Monotonic(RM)算法完成周期任务的静态调度;采用预订处理机时间方法和Earlier Deadline First(EDF)算法动态调度非周期任务;采用主/副版本备份技术确保系统的容错能力。通过充分利用周期任务的剩余处理机时间调度非周期任务和主动备份与被动备份相结合的方法有效地减少了处理机数。仿真结果证明了算法的有效性。
实时调度, 容错, 混合实时任务, 多处理机系统
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阳春华, 沈德耀
小型微型计算机系统,1999,(7):550~554,-0001,():
-1年11月30日
本文针对焦炉集气管压力系统具有强耦合、强干扰、典型非线性的特点,提出一种混合智能控制方法,将经典PID控制、前馈控制、专家控制相结合,把三种方法的简便性、可靠性、抗扰动快速性、灵活性融为一体,发挥各自的长处。并介绍了控制器的设计方法、系统实现与工业运行结。实际运行结果证明了该方法的有效性。
集气管压力 PID控制 前馈控制 专家控制 智能控制
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阳春华, 沈德耀, 吴敏, 刘健勤
自动化学报,26(2):226~232,-0001,():
-1年11月30日
焦炉配煤炼焦过程是存在诸多不确定性、无法用数学模型描述的复杂工业过程,传统控制方法难以实施控制。根据焦化理论和生产所获工业数据构造数学模型,以群体专家经验得到的定性知识构成规则模型,将解析的数学模型与基于知识的规则模型相结合,采用定性定量综合集成方法,建立焦炭质量预测模型,提出了配煤比计算的实用算法,并实时控制配煤流量。系统于1994年正式投入工厂运行,焦炭质量预测精度达到95%,配煤准确率达到97%。工业运行结果证明了方法的有效性。
定性定量综合,, 专家系统,, 焦炭质量预测,, 配煤比计算.,
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阳春华, 桂卫华, 王雅琳
中南工业大学学报,30(3):311~314,-0001,():
-1年11月30日
针对起动机性能测试,设计一种智能PID控制器,它根据不同控制状态采取不同控制策略,将PID控制与Fuzzy推理控制相结合,在线自动整定PID参数,提高了控制系统的适应能力和鲁棒性,改善了系统的动态品质。此外,还介绍了测试系统组成、参数校对技术。实际运行结果表明,该系统检测精度高,快速性能好,可靠性高,能稳定运行于复杂环境的电机生产线上。
智能PID控制, Fuzzy推理, 起动机
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【期刊论文】实时多处理机系统BEST-FIT启发式容错调度*
阳春华, 计莉, 沈德耀, 桂卫华
计算机工程与科学,2003,25(5):61~64,-0001,():
-1年11月30日
本文从有效利用资源的角度出发,提出了一种以最小化处理机数目为优化目标的Best-Fit启发式容错调度算法。该算法采用主/副版本备份技术和副版本的主动运行方式与被运行方式相结合的方法,将实时任务的主版本和副版本调度到不同处理机上运行;并且按照Best-Fit启发式策略为实时任务主版本寻找“最佳满足”处理机,使尽可能多的实时任务副版本以被动方式运行。算法既保证了系统的实时性和容错性,也节约了处理机。分析和仿真结果均证明了算法的有效性。
多处理机系统, 实时调度, 容错性, Best-Fit启发式
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