Search scope:
排序： Display mode:
Rules Auto-conditioning Fuzzy Controller
Cheng Jin,Zhang Chenghui,Xia Dongwei
Strategic Study of CAE 2003, Volume 5, Issue 9, Pages 78-81
According to the fuzzy theory and practical experience, the authors propose a rules autoconditioning fuzzy controller, whose dynamic performance and stability are all prior to the conventional PID controller and the basic fuzzy controller. It is also shown that the controller has good disturbance rejection properties and insensitivity to plant parameter variations. Both simulation and engineering prove that it is feasible actually and convenient to put into practical control project.
Keywords： fuzzy controller rules auto-tuning adaptive
Xiao-yu ZHANG
Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 12, Pages 1331-1343 doi: 10.1631/FITEE.1500318
Keywords： Nonlinear system Discrete system Dynamic fuzzy logical system Direct adaptive Sliding mode control
Adaptive fuzzy integral sliding mode velocity control for the cutting system of a trench cutter
Qi-yan Tian, Jian-hua Wei, Jin-hui Fang, Kai Guo,jhfang@zju.edu.cn
Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 1, Pages 55-66 doi: 10.1631/FITEE.15a0160
Keywords： Cutting system Electro-hydraulic system Cutting velocity control Adaptive fuzzy integral sliding mode control
Adaptive network fuzzy inference system based navigation controller for mobile robot Research Article
Panati SUBBASH, Kil To CHONG
Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 2, Pages 141-151 doi: 10.1631/FITEE.1700206
Autonomous navigation of a mobile robot in an unknown environment with highly cluttered obstacles is a fundamental issue in mobile robotics research. We propose an adaptive network fuzzy inference system (ANFIS) based navigation controller for a differential drive mobile robot in an unknown environment with cluttered obstacles. Ultrasonic sensors are used to capture the environmental information around the mobile robot. A training data set required to train the ANFIS controller has been obtained by designing a fuzzy logic based navigation controller. Additive white Gaussian noise has been added to the sensor readings and fed to the trained ANFIS controller during mobile robot navigation, to account for the effect of environmental noise on sensor readings. The robustness of the proposed navigation controller has been evaluated by navigating the mobile robot in three different environments. The performance of the proposed controller has been verified by comparing the travelled path length/efficiency and bending energy obtained by the proposed method with reference mobile robot navigation controllers, such as neural network, fuzzy logic, and ANFIS. Simulation results presented in this paper show that the proposed controller has better performance compared with reference controllers and can successfully navigate in different environments without any collision with obstacles.
Keywords： Adaptive network fuzzy inference system Additive white Gaussian noise Autonomous navigation Mobile robot
An ANFIS-based Approach for Predicting MiningInduced Surface Subsidence
Ding Dexin,Zhang Zhijun,Bi Zhongwei
Strategic Study of CAE 2007, Volume 9, Issue 1, Pages 33-39
Current approaches for predicting mining induced surface subsidence have a drawback in common that they predict the subsidence only on the basis of a physical or mechanical approach irrespective of the practical examples in engineering practice in mining induced surface subsidence.However,these experiences created in engineering practice are of great value and full use should be made of them to establish an approach for predicting mining induced surface subsidence.Therefore,this paper accumulated a lot of practical examples of mining induced surface subsidence,integrated these examples by using adaptive neuro-fuzzy inference system (ANFIS)and established an ANFIS-based approach for predicting mining induced surface subsidence.The approach was further tested by using practical examples of mining induced surface subsidence.The results show that the approach can converge quickly,fit the data in very good agreement and make generalization prediction with high accuracy.
Keywords： underground mining mining induced surface subsidence adaptive neuro唱fuzzy inferencesystem
Indirect adaptive fuzzy-regulated optimal control for unknown continuous-time nonlinear systems
Haiyun Zhang, Deyuan Meng, Jin Wang, Guodong Lu,gray_sun@zju.edu.cn,tinydreams@126.com,dwjcom@zju.edu.cn,lugd@zju.edu.cn
Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 2, Pages 141-286 doi: 10.1631/FITEE.1900610
Keywords： Indirect adaptive optimal control Hamilton-Jacobi-Bellman equation Fuzzy-regulated critic Adaptive optimal control actor Actor-critic structure Unknown nonlinear systems
Event-triggered adaptive finite-time control for nonlinear systems under asymmetric time-varying state constraints Research Article
Yan Wei, Jun Luo, Huaicheng Yan, Yueying Wang,wyy676@126.com
Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 12, Pages 1551-1684 doi: 10.1631/FITEE.2000692
Keywords： 事件触发控制；非线性映射；自适应模糊控制；有限时间；状态约束
Ali Darvish FALEHI,Ali MOSALLANEJAD
Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 3, Pages 394-409 doi: 10.1631/FITEE.1500317
Suppression of the dynamic oscillations of tie-line power exchanges and frequency in the affected interconnected power systems due to loading-condition changes has been assigned as a prominent duty of automatic generation control (AGC). To alleviate the system oscillation resulting from such load changes, implementation of flexible AC transmission systems (FACTSs) can be considered as one of the practical and effective solutions. In this paper, a thyristor-controlled series compensator (TCSC), which is one series type of the FACTS family, is used to augment the overall dynamic performance of a multi-area multi-source interconnected power system. To this end, we have used a hierarchical adaptive neuro-fuzzy inference system controller-TCSC (HANFISC-TCSC) to abate the two important issues in multi-area interconnected power systems, i.e., low-frequency oscillations and tie-line power exchange deviations. For this purpose, a multi-objective optimization technique is inevitable. Multi-objective particle swarm optimization (MOPSO) has been chosen for this optimization problem, owing to its high performance in untangling non-linear objectives. The efficiency of the suggested HANFISC-TCSC has been precisely evaluated and compared with that of the conventional MOPSO-TCSC in two different multi-area interconnected power systems, i.e., two-area hydro-thermal-diesel and three-area hydro-thermal power systems. The simulation results obtained from both power systems have transparently certified the high performance of HANFISC-TCSC compared to the conventional MOPSO-TCSC.
Keywords： Hierarchical adaptive neuro-fuzzy inference system controller (HANFISC) Thyristor-controlled series compensator (TCSC) Automatic generation control (AGC) Multi-objective particle swarm optimization (MOPSO) Power system dynamic stability Interconnected multi-source power systems
The Adaptive Robust Controller of the Centrifuge
Li Guo,Zhang Peichang,Hu Jianfei,Yu Dafei
Strategic Study of CAE 2006, Volume 8, Issue 9, Pages 30-34
This paper investigates the use of the adaptive robust controller for improving control performance and stability of the centrifuge. Based on its structural merit that the electric motor is connected to the centrifuge, the implementation of a control system is expected to achieve satisfactory control performance. An adaptive robust control algorithm of the centrifuge is presented in the paper, and the adaptive robust controller is designed according to the centrifuge model. The effectiveness of the algorithm is verified by the experimental results. It is clarified that the control performance and stability of the centrifuge is improved and the control system still maintains satisfactory control performance despite the change of environment conditions.
Keywords： centrifuge adaptive control robust control
High Precision Adaptive Predictive Control for Cruise Missile
Sun Mingwei,Chen Zengqiang,Yuan Zhuzhi,Ren Qiang,Yang Ming
Strategic Study of CAE 2005, Volume 7, Issue 10, Pages 23-27
Cruise missile achieves good flight performance by means of stabilization and regulation of its attitudes. Based on analysis of the perturbation model of missile*s dynamic characteristics, series control structures are constructed for attitude control loop, and their discrete models are served as controlled plant for recursive least square (RLS) based adaptive predictive control, thus the mass center control with slow response transforms into trajectory angle control with fast response and high precision. On the basis of missile’s characteristics, generalized predictive control (GPC) is used in inner attitude loop, and an integral form of predictive control is adopted in outter trajectory loop. Effective transformation from mass center command to trajectory reference has achieved to realize high precision tracking. This method realizes the integration of attitude reference signal with guidance command, and that of attitude control with mass center control. It can reduce precision requirements on aerodynamic data and the control parameters can be easily selected. The numerical simulations demonstrate its effectiveness. Finally, some further academic directions are presented.
Keywords： cruise missile adaptive control model based predictive control robustness
Pricing Based Adaptive Call Admission Control Algorithm for Wireless Networks
Zhang Xue
Strategic Study of CAE 2006, Volume 8, Issue 4, Pages 32-38
In order to efficiently and effectively control the use of wireless network resources, in this paper, according to the characteristic of adaptive multimedia applications in which bandwidths can be adjusted dynamically, and the influence of pricing on the users' behavior, an adaptive admission control algorithm integrated with pricing is proposed. The algorithm, in with the price is adjusted dynamically based on the current network conditions, is fit for the multi-priorilies services. Attempt is tried to make best balance between the efficiency and simplicity for the pricing scheme. Comparison of the performance of the proposed approach is made with the corresponding results of conventional systems where pricing is not taken into consideration in CAC process. The performance results verify the considerable improvement achieved by the integration of pricing with CAC in wireless networks.
Keywords： wireless networks adaptive call admission control microeconomic theory pricing connection level QoS
Adaptive Extension Controller Design for Nonlinear Systems
Wong Qingchang,Chen Zhenyuan
Strategic Study of CAE 2001, Volume 3, Issue 7, Pages 54-58
A design method for the extension controller is developed in this paper. The proposed adaptive extension control resulting from the direct adaptive approach is employed to directly adapt the gain parameter of the extension controller. Then the constructed controller can be best approximated to a given optimal control. Unlike the fuzzy controller, only one linguistic — like level is needed in the extension controller. The merits of the proposed controller are that (a) the number of adaptation parameter is small; (b) the design algorithm is easily to be implemented. In addition, a maximum control is established to guarantee the system robust stability. The derivation shows that the proposed extension controller is stable in the sense of the Lyapunov. Finally, a nonlinear system simulation example is applied to verifying the effectiveness and the ability of the proposed adaptive extension controller.
Keywords： extension theory adaptive control extension controller robust stability
Fan XU, Jin WANG, Guo-dong LU
Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 11, Pages 1316-1327 doi: 10.1631/FITEE.1601707
The problem of self-tuning control with a two-manipulator system holding a rigid object in the presence of inaccurate translational base frame parameters is addressed. An adaptive robust neural controller is proposed to cope with inaccurate translational base frame parameters, internal force, modeling uncertainties, joint friction, and external disturbances. A radial basis function neural network is adopted for all kinds of dynamical estimation, including undesired internal force. To validate the effectiveness of the proposed approach, together with simulation studies and analysis, the position tracking errors are shown to asymptotically converge to zero, and the internal force can be maintained in a steady range. Using an adaptive engine, this approach permits accurate online calibration of the relative translational base frame parameters of the involved manipulators. Specialized robust compensation is established for global stability. Using a Lyapunov approach, the controller is proved robust in the face of inaccurate base frame parameters and the aforementioned uncertainties.
Keywords： Cooperative manipulators Neural networks Inaccurate translational base frame Adaptive control Robust control
Adaptive tracking control of high-order MIMO nonlinear systems with prescribed performance Research Articles
Xuerao Wang, Qingling Wang, Changyin Sun,wangxuerao@seu.edu.cn,qlwang@seu.edu.cn,cysun@seu.edu.cn
Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 7, Pages 986-1001 doi: 10.1631/FITEE.2000145
Keywords： 自适应跟踪控制；预设性能；输入饱和；干扰观测器；神经网络
Model-free adaptive control for three-degree-of-freedom hybrid magnetic bearings Article
Ye YUAN, Yu-kun SUN, Qian-wen XIANG, Yong-hong HUANG, Zhi-ying ZHU
Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 12, Pages 2035-2045 doi: 10.1631/FITEE.1700324
Keywords： Model-free adaptive control Hybrid magnetic bearings Nonlinear areas Faster response Higher stability
Title Author Date Type Operation
Application of direct adaptive fuzzy slidingmode control into a class of non-affine discrete nonlinear systems
Xiao-yu ZHANG
Journal Article
Adaptive fuzzy integral sliding mode velocity control for the cutting system of a trench cutter
Qi-yan Tian, Jian-hua Wei, Jin-hui Fang, Kai Guo,jhfang@zju.edu.cn
Journal Article
Adaptive network fuzzy inference system based navigation controller for mobile robot
Panati SUBBASH, Kil To CHONG
Journal Article
An ANFIS-based Approach for Predicting MiningInduced Surface Subsidence
Ding Dexin,Zhang Zhijun,Bi Zhongwei
Journal Article
Indirect adaptive fuzzy-regulated optimal control for unknown continuous-time nonlinear systems
Haiyun Zhang, Deyuan Meng, Jin Wang, Guodong Lu,gray_sun@zju.edu.cn,tinydreams@126.com,dwjcom@zju.edu.cn,lugd@zju.edu.cn
Journal Article
Event-triggered adaptive finite-time control for nonlinear systems under asymmetric time-varying state constraints
Yan Wei, Jun Luo, Huaicheng Yan, Yueying Wang,wyy676@126.com
Journal Article
RETRACTED ARTICLE: Dynamic stability enhancement of interconnected multi-source power systems using hierarchical ANFIS controller-TCSC based on multi-objective PSO
Ali Darvish FALEHI,Ali MOSALLANEJAD
Journal Article
The Adaptive Robust Controller of the Centrifuge
Li Guo,Zhang Peichang,Hu Jianfei,Yu Dafei
Journal Article
High Precision Adaptive Predictive Control for Cruise Missile
Sun Mingwei,Chen Zengqiang,Yuan Zhuzhi,Ren Qiang,Yang Ming
Journal Article
Pricing Based Adaptive Call Admission Control Algorithm for Wireless Networks
Zhang Xue
Journal Article
Adaptive Extension Controller Design for Nonlinear Systems
Wong Qingchang,Chen Zhenyuan
Journal Article
Adaptive robust neural control of a two-manipulator system holding a rigid object with inaccurate base frame parameters
Fan XU, Jin WANG, Guo-dong LU
Journal Article
Adaptive tracking control of high-order MIMO nonlinear systems with prescribed performance
Xuerao Wang, Qingling Wang, Changyin Sun,wangxuerao@seu.edu.cn,qlwang@seu.edu.cn,cysun@seu.edu.cn
Journal Article
京公网安备 11010502051620号
