远程参数自适应控制技术的研究

采用自适应有限脉冲响应滤波器的多通道逆向控制方法及其自适应滤波器的实现方法，使多通道振动台模拟试验系统的系统响应逼近于期望响应信号，并且给出了利用此算法进行的模拟结果曲线。试验结果表明，采用这种方法控制振动台模拟试验系统，精确地再现了期望响应信号，满足了试验系统的要求。     

电火花加工自适应模糊控制器的研制

针对典型的非线性多参数时变系统——电火花加工过程，提出了一种参数自适应模糊控制系统的设计方法，给出了控制器的设计步骤，以实现电火花加工过程的自适应控制。实验表明了这种自适应模糊控制系统的有效性     

电火花加工自适应模糊控制器的研制

针对典型的非线性参数对时变系统－电火花加工过程，提出了一种参数自适应模糊控制系统的设计方法，给出了控制器的设计步骤，以实现电火花加工过程的自适应控制，实验表明了这种自适应模糊控制系统的有效性。     

基于MATLAB的无刷直流电机自适应控制系统的研究

在分析无刷直流电机的数学模型的基础上,建立了控制系统的SIMULINK仿真模型,提出了无刷直流电机调速系统单神经元自适应控制方法.该方法在调速系统中,电流环采用滞环电流控制,转速环采用单神经元自适应控制器控制,实现了双闭环自适应控制的调速系统.仿真结果表明:这种新型的控制方法响应快、无超调、鲁棒性强,较传统PID控制具有更好的动、静态特性.     

远程参数自适应控制技术的研究

采用自适应有限脉冲响应滤波器的多通道逆向控制方法及其自适应滤波器的实现方法,使多通道振动台模拟试验系统的系统响应逼近于期望响应信号,并且给出了利用此算法进行的模拟结果曲线.试验结果表明,采用这种方法控制振动台模拟试验系统,精确地再现了期望响应信号,满足了试验系统的要求.     

电液位置伺服系统的最佳——自适应控制设计

本文研究了电液位置伺服系统的参数自适应与系统响应最优化的组合控制设计问题。文章基于优化理论提出一种形式简单易于在线实现的最优自适应控制器,并通过仿真试验证明这种控制方法的有效性与合理性。     

混凝土搅拌站自适应配料系统

建立了混凝土搅拌站配料系统的数学模型，提出了用自校正方法实现的自适应控制方案，详细阐述了自适应控制在混凝土搅拌站自动配料系统中的应用。     

熔化极电弧焊焊缝跟踪自适应模糊控制器设计

本文针对弧焊焊缝跟踪常规PID控制的不足，提出了自适应模糊控制方案，通过实时改变调整因子α的值，实现对模糊控制规则的调整，提高了系统的适应性，采用此方案设计了单片机自适应模糊控制器，并给出了系统的软硬件设计。仿真和试验结果表明，自适应模糊控制可以显著减少系统的超调量和调节时间，改善控制效果。     

基于逆系统的非线性自适应逆控制

针对非线性系统自适应逆控制的不完善,本文引入逆系统方法将非线性系统转化为伪线性系统,然后使用最小二乘支持向量机(LS-SVM)建立了逆系统模型,最后利用成熟的线性系统自适应逆控制理论实现非线性系统的自适应逆控制。引入逆系统方法后实现了两大功能:其一,消除了非线性系统的干扰,而且不需要设计逆对象模型:其二,实现了多变量(n维变量)之间的解耦,而且节省了3n(n-1)个线性滤波器的设计。本文针对一个典型多变量二阶系统实现了非线性系统的自适应逆控制,仿真试验表明该方法不但能够很好地消除非线性系统的干扰,而且还实现多变量的解耦控制。     

动态

动态线切割机床自适应控制高频电源系统南京航空学院研制的微机自适应控制高频电源系统，设计思想新颖，具有独创性和国际水平。该系统由微机控制，带有小型工艺参数库，加工参数可通过微机宽范围连续数字式调整，加工过程由微机实现自适应控制。因此对操作人员的技术水平...     

Fuzzy Sliding Mode Control for a Discrete Servo System

A discrete fuzzy sliding mode variable structure controller was studied and designed for a class of electro-hydraulic servo system by means of the combination of sliding mode control theory and fuzzy control theory.Designed based on the exponential reaching law,parameter ε of conventional sliding mode controller is the key factor of system chattering,and is proportional to it as well.In view of this,fuzzy control theory was introduced into the design to ensure the real-time adjusting of parameter ε.Simulation results show that the system chattering is eliminated perfectly,and the dynamic performance of the control system is improved effectively.     

汽车保护传导系统设计

在对汽车保护传导系统做总体介绍的基础上，分析了系统的结构组成，着重对汽车保护传导系统中图像传输作了重点研究。该汽车保护传导系统包含汽车的电子化、智能化、网络化，这正是现代汽车发展的重要标志。     

PLC控制的晶闸管整流电源的设计

提出一种直接用集成触发器触发晶闸管、PLC保护整流直流电源并结合工控机监视整流设备的监控保护系统。系统应用计算机技术将控制和监视融为一体，采用PI调节器闭环控制电解电流。同时设计了监视环节对整流直流电源的状况进行监视。     

电液伺服力控系统的自适应滑模控制

针对存在不确定性的非线性电液伺服力控系统的跟踪控制问题,基于等价控制的概念,提出了一种自适应滑模控制律综合方法,应用参数自适应的方法,消除不确定性对控制性能的影响,以达到鲁棒跟踪控制的目的。为了证明这种控制器可行性,利用微机实现的该控制器被应用于某疲劳试验机电液伺服系统,实时控制的结果验证了所提方法的有效性。     

神经元网络钢丝绳断丝信号定量识别技术

在分析了钢丝绳电磁无损探伤技术的发展对检测系统提出的新问题之后，尝试了采用多层神经元网络改进Ｂ－Ｐ算法设计钢丝绳检测网络。讨论了加快网络收敛的主要措施。实验结果表明，采用神经元网络可以较好地解决钢丝绳断丝信号的定性、定量分析。     

Design of a completely model free adaptive control in the presence of parametric,non-parametric uncertainties and random control signal delay

In this paper, an adaptive controller is developed for discrete time linear systems that takes into account parametric uncertainty, internal-external non-parametric random uncertainties, and time varying control signal delay. Additionally, the proposed adaptive control is designed in such a way that it is utterly model free. Even though these properties are studied separately in the literature, they are not taken into account all together in adaptive control literature. The Q-function is used to estimate long-term performance of the proposed adaptive controller. Control policy is generated based on the long-term predicted value, and this policy searches an optimal stabilizing control signal for uncertain and unstable systems. The derived control law does not require an initial stabilizing control assumption as in the ones in the recent literature. Learning error, control signal convergence, minimized Q-function, and instantaneous reward are analyzed to demonstrate the stability and effectiveness of the proposed adaptive controller in a simulation environment. Finally, key insights on parameters convergence of the learning and control signals are provided.     

现代工厂的设计,规划与实施

产业升级的关键是工厂现代化。现代工厂的特征体现产品、装备、人员及管理等方面。简述生产方式的演变和发展过程，生产系统的不同布局形式以及现代工厂的设计、规划与实施的具体的步骤。     

A novel composite adaptive flap controller design by a high-efficient modified differential evolution identification approach

The optimal tuning of adaptive flap controller can improve adaptive flap control performance on uncertain operating environments, but the optimization process is usually time-consuming and it is difficult to design proper optimal tuning strategy for the flap control system (FCS). To solve this problem, a novel adaptive flap controller is designed based on a high-efficient differential evolution (DE) identification technique and composite adaptive internal model control (CAIMC) strategy. The optimal tuning can be easily obtained by DE identified inverse of the FCS via CAIMC structure. To achieve fast tuning, a high-efficient modified adaptive DE algorithm is proposed with new mutant operator and varying range adaptive mechanism for the FCS identification. A tradeoff between optimized adaptive flap control and low computation cost is successfully achieved by proposed controller. Simulation results show the robustness of proposed method and its superiority to conventional adaptive IMC (AIMC) flap controller and the CAIMC flap controllers using other DE algorithms on various uncertain operating conditions. The high computation efficiency of proposed controller is also verified based on the computation time on those operating cases.     

ADAPTIVE CONTROLLER AND ITS APPLICATION IN FORCE SYSTEM OF ASYMMETRIC CYLINDER CONTROLLED BY SYMMETRIC VALVE

Partial pressure, system vibration and asymmetric system dynamic performance exit in asymmetric cylinder controller by symmetric valve hydraulic system. To solve this problem in the force control system, model reference adaptive controller is designed using equilibrium point stability theory and output error equation polynomial. The reference model is selected in such a way that it meets the system dynamic performance. Hardware configuration of asymmetric cylinder controlled by asymmetric valve hydraulic system is replaced by intelligent control algorithm, thus the cost is lowered and easy to application. Simulation results demonstrate that the proposed adaptive control sheme has good adaptive ability and well solves asymmetric dynamic performance problem. The designed adaptive controller is fairly robust to load disturbance and system parameter variation.     

Adaptive fuzzy sliding-mode control for the Ti6Al4V laser alloying process

It is well known that surface alloying quality may vary significantly with respect to process parameter variation. Thus a feedback control system is required to monitor the operating parameters for yielding a good quality control. Since this multi-input and multi-output (MIMO) system has nonlinear coupling and time-varying dynamic characteristics, it is very difficult to establish an accurate process model for designing a model-based controller. Hence an adaptive fuzzy sliding-mode controller (AFSMC) which combines an adaptive rule with fuzzy and sliding-mode control is employed in this study. It has an on-line learning ability for responding to a system’s nonlinear and time-varying behaviours. Two adaptive fuzzy sliding-mode controllers are designed for tuning the laser power and the traverse velocity simultaneously to tackle the absorptivitiy and geometrical variations of the work pieces. The simulation results show that good surface lapping performance is achieved by using this intelligent control strategy.