MODELING AND ROBUST LQ REGULATOR DESIGNING FOR REFINING PROCESS

ＩＮＴＲＯＤＵＣＴＩＯＮＡｎｉｍｐｏｒｔａｎｔｐａｒｔｉｎｔｈｅｐｕｌｐｉｎｇａｎｄｐａｐｅｒｍａｋｉｎｇｉｎｄｕｓｔｒｙｉｓｔｈｅｒｅｆｉｎｉｎｇｐｒｏｃｅｓｓ.Ｗｈｅｔｈｅｒｔｈｅｒｅｆｉｎｅｄｐｕｌｐｉｓｇｏｏｄｏｒｎｏｔｉｓｃｒｕｃｉａｌｆｏｒａｃｈｉｅｖｉｎｇｃｏｎｓｉｓｔｅｎｔｐｕｌｐｑｕａｌｉｔｙ.Ｗｈａｔｐｅｏｐｌｅｅｘｐｅｃｔａｎｄｓｔｒｉｖｅｆｏｒｉｎｔｈｅｒｅｆｉｎｉｎｇｐｒｏｃｅｓｓｉｓｇｕａｒａｎｔｅｅｄｒｅｆｉｎｅｄｐｕｌｐｑｕａｌｉｔｙ,ｓａｆｅｔｙｉｎｐｒｏｄｕｃｔ…     

Robust predictive control of uncertain intergrating linear systems with input constraints

This paper presents a two-stage robust model predictive control (RMPC) algorithm named as IRMPC for uncertain linear integrating plants described by a state-space model with input constraints. The global convergence of the resulted closed loop system is guaranteed under mild assumption. The simulation example shows its validity and better performance than conventional Min-Max RMPC strategies. Project supported by Education Bureau of Zhejiang Province (No. 20010539), China     

基于PLC的精炼油工控系统设计

根据企业要求,以可编程控制器（PLc）为主控设备,以触摸屏为人机接口,两者之间进行通讯,实现精炼油过程中主要工艺参数的监控。通过控制算法的设计使系统能自动完成所要求的各项功能,确保成品出油的各项参数均达到预定要求。该设计经实用验证达到了企业的目标要求。     

Fuzzy NN based predictive control and its application to green liquor system

The fuzzy NN predictive control algorithm introduced in this paper uses fuzzy neural network to model the nonlinear MIMO process. Its training method that integrates LS and BP algorithm brings quick convergence. GPC algorithm is used as the predictive component. The fuzzy neural network has six layers, including input layer, output layer and four hidden layers. An application to a MIMO nonlinear process (green liquor system of the recovery system in a pulp factory shows that this algorithm has better performance than normal PID algrithm. Project (No. 20010539) supported by Education Office of Zhejiang Province.     

A robust gain-scheduling control based on VSC and fuzzy local controller network

Based on variable structure control (VSC) and fuzzy local controller network (FLCN), a new design method of robust gain-scheduling control is proposed in this paper. The proper sliding-modes and the tendency-rates for general operation-points are introduced such that the system gets into the sliding-modes’ motion as soon as possible and has the desired performance. Its good performance is due to the robustness of VSC. However, any local controller works well only in the local region of a specified operation-point. In this paper functions similar to the fuzzy-attributed function in fuzzy-systems are introduced to form FLCN. The simulation results showed that the presented method is feasible and acceptable. Project supported by the Natural Science Foundation of China (NSFC: 69934030) and the Zhejiang Provincial Natural Science Foundation of China (ZJPNSFC: ZD9905).     

Control uncertain continuous-time chaotic dynamical system

The new chaos control method presented in this paper is useful for taking advantage of chaos. Based on sliding mode control theory, this paper provides a switching manifold controlling strategy of chaotic system, and also gives a kind of adaptive parameters estimated method to estimate the unknown systems' parameters by which chaotic dynamical system can be synchronized. Taking the Lorenz system as example, and with the help of this controlling strategy, we can synchronize chaotic systems with unknown parameters and different initial conditions. Project supported by Doctoral Subject Research Fund of Ministry of Education of China (1999033512) and Science and Technology Plan Fund of Zhejiang Province (991110412)     

Online algorithms for scheduling with machine activation cost on two uniform machines

INTRODUCTION In this paper we investigate the uniform ma-chines scheduling problem with machine activationcost. This problem has application in garment pro-duction of international trade and is motivated by thefollowing scenario. Import-export company is com-pared to scheduler in this model, and orders are jobs,which arrive one by one. And garment factories canbe regarded as machines. Since jobs should be fin-ished on time, scheduler will choose a reasonablenumber of machines to make the…     

A new digital approach to design multivariable robust optimal control systems

This paper presents a new design of robust optimal controller for multivariable system. The row characteristic functions of a linear multivariable system and dynamic decoupling of its equivalent system, were applied to change the transfer function matrix of a closed-loop system into a normal function matrix, so that robust H∞optimal stability is guaranteed. Furthermore, for the decoupled equivalent control system the l∞optimization approach is used to have the closed-loop system embody optimal time domain indexes. A successful application on a heater control system verified the excellence of the new control scheme.     

PLC在电子系统设计中的应用探索

在“电子系统设计”课程的实验改革中,引入现代PLC控制系统综合设计及其实施过程,帮助学生进一步了解电子系统设计方法,掌握PLC控制器件、组态软件和以太网、串行通信技术等在工业控制系统中的应用,锻炼学生团队协作能力,提高学生学习积极性和创新意识,有助于学生毕业后尽快适应新的工作环境。     

Solving geometric constraints with genetic simulated annealing algorithm

This paper applies genetic simulated annealing algorithm (SAGA) to solving geometric constraint problems. This method makes full use of the advantages of SAGA and can handle under-/over-constraint problems naturally. It has advantages (due to its not being sensitive to the initial values) over the Newton-Raphson method, and its yielding of multiple solutions, is an advantage over other optimal methods for multisolution constraint system. Our experiments have proved the robustness and efficiency of this method. Project (No. 6001107) supported by the National Science Foundation of Zhejiang Province     

状态反馈最优控制器设计及仿真

阐述了线性二次型状态反馈控制器的原理及设计方法,给出了最优状态观测器的存在条件,以及基于最优观测器的最优控制理论．以一级倒立摆为受控对象,通过Matlab仿真实验研究讨论了加权矩阵Q和R的变化对最优控制系统的影响问题,通过最优控制器与PID控制器控制效果进行比较,得出了最优控制器性能更好的结论．     

Control design of 60 kW PEMFC generation system for residential applications

This paper presented a control design methodology for a proton exchange membrane fuel cell （PEMFC） generation system for residential applications. The dynamic behavior of the generation system is complex in such applications. A compre- hensive control design is very important for achieving a steady system operation and efficiency. The control strategy for a 60 kW generation system was proposed and tested based on the system dynamic model. A two-variable single neuron proportional-integral （PI） decoupling controller was developed for anode pressure and humidity by adjusting the hydrogen flow and water injection. A similar controller was developed for cathode pressure and humidity by adjusting the exhaust flow and water injection. The desired oxygen excess ratio was kept by a feedback controller based on the load current. An optimal seeking con- troller was used to trace the unique optimal power point. Two negative feedback controllers were used to provide AC power and a suitable voltage for residential loads by a power conditioning unit. Control simulation tests showed that 60 kW PEMFC generation system responded well for computer-simulated step changes in the load power demand. This control methodology for a 60 kW PEMFC generation system would be a competitive solution for system level designs such as parameter design, performance analysis, and online optimization.     

Robust nonlinear control of continuous stirred tank reactors

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基于DSC的自适应补偿神经网络控制

针对一类可转化为“标准块控制形”的MIMO非线性系统,基于动态面控制技术,提出一种鲁棒自适应神经网络控制算法。采用径向基函数神经网络逼近不确定性模型,通过引入一阶滤波器,消除后推设计中由于反复对虚拟控制的求导而导致的复杂性问题,同时补偿项的引入可避免反馈线性化方法中可能出现的控制器奇异性问题,无需控制增益矩阵正定、可逆的条件。利用李亚普诺夫方法,证明了闭环系统是半全局一致终结有界,适当选取设计常数,跟踪误差可收敛到原点的一个小邻域内。计算机仿真结果表明此法的有效性。     

一种具有多工作流程自动生产线控制系统的设计

介绍一种多工作流程自动生产线的控制系统的设计思路,详细阐述电一气混合控制的电气控制的设计和气动控制设计。着重分析电气控制设计中控制器的选择和PLC网络设计,在气动控制设计中组建气动控制原理图。     

模糊控制技术在纯净水生产过程中的应用

介绍了模糊控制技术在纯净水生产中的应用 ,针对被控过程的特点 ,采用普通二维模糊控制器和 PI控制相并联 ,并与开关控制相结合的双模控制方案。给出了控制系统软件框图。实验结果表明 ,该系统设计先进合理 ,控制精度高 ,鲁棒性强 ,提高了水的利用率。     

Robust design and optimization for autonomous PV-wind hybrid power systems

This study presents a robust design method for autonomous photovoltaic （PV）-wind hybrid power systems to obtain an optimum system configuration insensitive to design variable variations. This issue has been formulated as a constraint multi-objective optimization problem, which is solved by a multi-objective genetic algorithm, NSGA-II. Monte Carlo Simulation （MCS） method, combined with Latin Hypercube Sampling （LHS）, is applied to evaluate the stochastic system performance. The potential of the proposed method has been demonstrated by a conceptual system design. A comparative study between the proposed robust method and the deterministic method presented in literature has been conducted, The results indicate that the proposed method can find a large mount of Pareto optimal system configurations with better compromising performance than the deterministic method. The trade-off information may be derived by a systematical comparison of these configurations, The proposed robust design method should be useful for hybrid power systems that require both optimality and robustness.     

Parameters optimization for exponentially weighted moving average control chart using generalized regression neural network

1 Introduction a The statistical process monitoring and quality control in the industry manufacturing using exponentially weighted moving average (EWMA) control chart have attracted much attention recently. Parameter selection is the key to optimal design…     

Robust Adaptive Control Design for Rotorcraft Unmanned Aerial Vehicles Based on Sliding Mode Approach

This paper presents a nonlinear robust control design method for a generic rotorcraft unmanned aerial vehicle（RUAV）. The control objective is to let the RUAV track some pre-defined time-varying position and headingtrajectories. The proposed controller employs feedback linearization process to realize the dynamic decoupling controland applies adaptive sliding mode control to compensate for the parametric uncertainties and external disturbances.The global asymptotical stability is proved via stability analysis. Compared with the cascaded controller, the proposedcontroller demonstrates a superior tracking performance and robustness through numerical simulation in the presenceof parametric uncertainties and unknown disturbances.     

教师专业发展需求与对策

提升教师在职培训专业化水平,增强在职培训实效性已经成为教师专业化要求下,教师在职培训研究的最新方向。通过对浙江省高中教师参加在职培训的学习现状调查与分析,提出了教师在职培训专业化建设策略为:完善国家层面制度设计;创新管理模式;构建个性化、专业化课程体系;培养专业化在职培训者队伍;加强现代信息技术支持。