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fuzzy sliding mode control for the Vehicle Height and Leveling Adjustment System of an Electronic Air Suspension

Chinese Journal of Mechanical Engineering 2018年第2期31卷 238-250页

作者： Xiao-Qiang Sun Ying-Feng Cai Chao-Chun Yuan Shao-Hua Wang Long Chen Automotive Engineering Research Institute Jiangsu University School of Automotive and Traffic Engineering Jiangsu University

The accurate control for the vehicle height and leveling adjustment system of an electronic air suspension(EAS) still is a challenging problem that has not been effectively solved in prior researches. This paper proposes a new adaptive controller to control the vehicle height and to adjust the roll and pitch angles of the vehicle body(leveling control) during the vehicle height adjustment procedures by an EAS system. A nonlinear mechanism model of the full?car vehicle height adjustment system is established to reflect the system dynamic behaviors and to derive the system optimal control law. To deal with the nonlinear characters in the vehicle height and leveling adjustment processes, the nonlinear system model is globally linearized through the state feedback method. On this basis, a fuzzy sliding mode controller(FSMC) is designed to improve the control accuracy of the vehicle height adjustment and to reduce the peak values of the roll and pitch angles of the vehicle body. To verify the effectiveness of the proposed control method more accurately, the full?car EAS system model programmed using AMESim is also given. Then, the co?simulation study of the FSMC performance can be conducted. Finally, actual vehicle tests are performed with a city bus, and the test results illustrate that the vehicle height adjustment performance is effectively guaranteed by the FSMC, and the peak values of the roll and pitch angles of the vehicle body during the vehicle height adjustment procedures are also reduced significantly. This research proposes an effective control methodology for the vehicle height and leveling adjustment system of an EAS, which provides a favorable control performance for the system.

关键词： Electronic air suspension Height adjustment Leveling control fuzzy sliding mode control Vehicle tests

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Generalized projective synchronization of the fractional-order chaotic system using adaptive fuzzy sliding mode control

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Chinese Physics B 2014年第10期23卷 64-70页

作者：王立明唐永光柴永泉吴峰 Department of Physics Langfang Teachers College Department of Physics Tianjin University of Technology

An adaptive fuzzy sliding mode strategy is developed for the generalized projective synchronization of a fractional- order chaotic system, where the slave system is not necessarily known in advance. Based on the designed adaptive update laws and the linear feedback method, the adaptive fuzzy sliding controllers are proposed via the fuzzy design, and the strength of the designed controllers can he adaptively adjusted according to the external disturbances. Based on the Lya- punov stability theorem, the stability and the robustness of the controlled system are proved theoretically. Numerical simu- lations further support the theoretical results of the paper and demonstrate the efficiency of the proposed method. Moreover, it is revealed that the proposed method allows us to manipulate arbitrarily the response dynamics of the slave system by adjusting the desired scaling factor λi and the desired translating factor ηi, which may be used in a channel-independent chaotic secure communication.

关键词： generalized projective chaos synchronization fuzzy sliding mode control fractional order chaoticsystem

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fuzzy sliding mode control Based on Longitudinal Force Estimation for Electro-mechanical Braking Systems using BLDC Motor

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CES Transactions on Electrical Machines and Systems 2018年第1期2卷 142-151页

作者： Xiaoyan Peng Mingfei Jia Lei He Xiang Yu Yibin Lv College of Mechanical and Vehicle Engineering Hunan UniversityChangsha410000China 不详 Concordia University MontrealCanada Mechanical electronic engineering from Hunan University ChangshaChina

This paper focuses on the controller design using fuzzy sliding mode control(FSMC)with application to electro-mechanical brake(EMB)systems using BLDC *** EMB controller transmits the control signal to the motor driver to rotate the *** torque distribution of motors is studied in this paper ***,the model of the EMB system is *** the state observer is developed to estimate the vehicle states including the vehicle velocity and longitudinal *** to the fact that the EMB system is nonlinear and uncertain,a FSMC strategy based on wheel slip ratio is proposed,where both the normal and emergency braking conditions are taken into *** equivalent control law of sliding mode controller is designed on the basis of the variation of the front axle and rear axle load during the brake process,while the switching control law is adjusted by the fuzzy *** simulation results illustrate that the FSMC strategy has the superior performance,better adaptability to various types of roads,and shorter braking distance,as compared to PID control and traditional sliding mode control ***,the hardware-in-loop(HIL)experimental results have exemplified the validation of the developed methodology.

关键词： BLDC Motor electro-mechanical brake fuzzy sliding mode control longitudinal force estimation hardware-in-loop experiments wheel slip ratio

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fuzzy robust sliding mode control of a class of uncertain systems

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Journal of Central South University 2016年第9期23卷 2296-2304页

作者： REN Li-tong Aeronautics and Astronautics Engineering Institute Air Force Engineering University Xi'an 710038 China Beijing Aeronautical Engineering Technical Research Center Beijing 100076 China

Aiming at a class of systems under parameter perturbations and unknown external disturbances, a method of fuzzy robust sliding mode control was proposed. Firstly, an integral sliding mode surface containing state feedback item was designed based on robust H∞ control theory. The robust state feedback control was utilized to substitute for the equivalent control of the traditional sliding mode control. Thus the robustness of systems sliding mode motion was improved even the initial states were unknown. Furthermore, when the upper bound of disturbance was unknown, the switching control logic was difficult to design, and the drawbacks of chattering in sliding mode control should also be considered simultaneously. To solve the above-mentioned problems, the fuzzy nonlinear method was applied to approximate the switching control term. Based on the Lyapunov stability theory, the parameter adaptive law which could guarantee the system stability was devised. The proposed control strategy could reduce the system chattering effectively. And the control input would not switch sharply, which improved the practicality of the sliding mode controller. Finally, simulation was conducted on system with parameter perturbations and unknown external disturbances. The result shows that the proposed method could enhance the approaching motion performance effectively. The chattering phenomenon is weakened, and the system possesses stronger robustness against parameter perturbations and external disturbances.

关键词： uncertain systems robust control fuzzy sliding mode control chattering

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Wind Energy Conversion Systems using fuzzy sliding mode control

Wind Energy Conversion Systems using Fuzzy Sliding Mode Cont...

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2011 Chinese control and Decision Conference（CCDC）

作者： Qi Chen,LiangHai Chen,LinGao Wang 1.Faculty of Electronic and Electrical Engineering,Huaiyin Institute of Technology,Jiangsu,Huai''an,P.R.China,223003

The paper describes a manner in which the energy-reliability optimization of wind energy conversion system’s operation can be achieved by means of the fuzzy sliding mode *** appropriate sliding surface has been found in the speed-power plane,which allows the operation more or less close to the optimal regimes *** is more,by torque controlling the generator,an energy-reliability optimization of the wind turbine behavior is *** simulation results demonstrate that the proposed control method can not only maximize the wind energy capture ratio below the rated wind speed but can also make the system operate smoothly.

关键词： Wind Energy Conversion System fuzzy sliding mode control speed-power

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Trajectory Tracking control of a Stratospheric Airship with fuzzy sliding mode control

Trajectory Tracking Control of a Stratospheric Airship with ...

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第37届中国控制会议

作者： Shuyu Yao Haoping Wang Yang Tian Nanjing University of Science ＆ Technolog Sino-French International Joint Laboratory of Automatic Control and Signal Processing （LaFCAS）Nanjing University of Science and Technology

This paper considers a fuzzy sliding mode control for the trajectory tracking control of a stratospheric airship. Firstly,dynamic modeling and kinematic modeling of the stratospheric airship are proposed. Secondly, the design and stability analysis of the controller are given. Finally, numerical simulations are presented to demonstrate the performance of the proposed controller, and the simulation results indicate that fuzzy sliding mode control reduces chattering effectively and ensures faster convergence and better tacking precision against sliding mode control（SMC）.

关键词： Stratospheric airship Trajectory tracking control fuzzy sliding mode control

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Active Vibration Suppression of Thin Cylindrical Shells Laminated with Photostrictive Actuators via Self-organizing fuzzy sliding mode control

Active Vibration Suppression of Thin Cylindrical Shells Lami...

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第32届中国控制与决策会议

作者： Rongbo He Shijie Zheng School of Electrical Information Anhui University of Technology State Key Laboratory of Mechanics and control of Mechanical Structures Nanjing University of Aeronautics and Astronautic

In this paper,the vibration suppression of a simply supported thin cylindrical shell laminated with photostrictive actuators is *** view of the model uncertainty existing in intelligent structure system,as well as the nonlinear and time-variant characteristics of photostrictive actuators,a self-organizing fuzzy sliding mode control（SOFSMC） method is developed to generate fuzzy control rules in real time during the active vibration *** using this method,the number of fuzzy rule is reduced significantly,and the design of controller is *** illustrate the performance of the proposed controller,the simulation results of SOFSMC are compared with that of traditional fuzzy controller（TFC）.The comparison demonstrates that the SOFSMC is easier to realize the implementation procedure and achieves rapider vibration suppression even in the presence of parameter variations and external disturbances.

关键词： Photostrictive Actuators Cylindrical Thin Shell Self-organizing fuzzy sliding mode control

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An Integrated Hydrodynamics and control model of A Tethered Underwater Robot

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China Ocean Engineering 2018年第5期32卷 557-569页

作者： WU Jia-ming XU Ying TAO Long-bin YU Miao DOU Yi-zhe Department of Naval Architecture and Ocean Engineering School of Civil Engineering and TransportationSouth China University of Technology Department of Naval Architecture Ocean & Marine EngineeringUniversity of Strathclyde

An integrated hydrodynamics and control model to simulate tethered underwater robot system is proposed. The governing equation of the umbilical cable is based on a finite difference method, the hydrodynamic behaviors of the underwater robot are described by the six-degrees-of-freedom equations of motion for submarine simulations, and a controller based on the fuzzy sliding mode control(FSMC) algorithm is also incorporated. Fluid motion around the main body of moving robot with running control ducted propellers is governed by the Navier–Stokes equations and these nonlinear differential equations are solved numerically via computational fluid dynamics(CFD) technique. The hydrodynamics and control behaviors of the tethered underwater robot under certain designated trajectory and attitude control manipulation are then investigated based on the established hydrodynamics and control model. The results indicate that satisfactory control effect can be achieved and hydrodynamic behavior under the control operation can be observed with the model; much kinematic and dynamic information about tethered underwater robot system can be forecasted, including translational and angular motions of the robot, hydrodynamic loading on the robot, manipulation actions produced by the control propellers, the kinematic and dynamic behaviors of the umbilical cable. Since these hydrodynamic effects are fed into the proposed coupled model, the mutual hydrodynamic influences of different portions of the robot system as well as the hydrological factors of the undersea environment for the robot operation are incorporated in the model.

关键词： tethered underwater robot umbilical cable ducted propeller fuzzy sliding mode control CFD trajectory and attitude control

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Improving Asynchronous Motor Speed and Flux Loop control by Using Hybrid fuzzy-SMC controllers

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International Journal of Automation and computing 2014年第4期11卷 361-367页

作者： Ismail Bendaas Farid Naceri Sebti Belkacem Department of Electrical Engineering Batna University

This paper presents a new method combining sliding mode control(SMC) and fuzzy logic control(FLC) to enhance the robustness and performance for a class of non-linear control systems. This fuzzy sliding mode control(FSMC) is developed for application in the area for controlling the speed and flux loops of asynchronous motors. The proposed control law can solve those problems associated with the conventional control by sliding mode control, such as high current, flux and torque chattering, variable switching frequency and variation of parameters, in which a robust fuzzy logic controller replaces the discontinuous part of the classical sliding mode control law. Simulation results of the proposed FSMC technique on the speed and flux rotor controllers present good dynamic and steady-state performances compared to the classical SMC in terms of reduction of the torque chattering, quick dynamic torque response and robustness to disturbance and variation of parameters.

关键词： Induction motor sliding mode control fuzzy logic control fuzzy sliding mode control chattering phenomenon

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Synchronization of chaotic systems via fuzzy sliding mode controller

Synchronization of chaotic systems via fuzzy sliding mode co...

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2011 Chinese control and Decision Conference（CCDC）

作者： Zhaona Chen is with Faculty of Information and control Engineering,Liaoning Shihua University,Fushun,Liaoning,113001,P.R.of China.Yong Fu is with Faculty of Metallurgy Automation,Shenyang Aluminum & Magnesium Engineering & Research Institute,Shenyang,Liaoning,110001,P.R.of China.Yuanwei Jing is with Faculty of Information Science and Engineering,Northeastern University,Shenyang,Liaoning,110004,P.R.of China.

This paper investigates a robust fuzzy sliding mode control （FSMC） for the synchronization of chaotic *** using Lyapunov function the sliding surfaces are proposed for the chaotic system which is express by T-S fuzzy *** design is based on the concept of parallel distributed compensation （PDC）.The designed sliding mode controller such that the global system confined on the sliding surfaces is asymptotically *** proposed controller can guarantee asymptotical synchronization of both drive and response ***,the corresponding numerical simulation results demonstrate the effectiveness of the proposed schemes.

关键词： fuzzy sliding mode control Synchronization Parallel distributed compensation T-S fuzzy model

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