Analysis of Fuzzy Control Strategy Based on Energy and Peak Value of Vibration

The effect of damping on vibration is analyzed during the suspension deformation based on the 1/4 vehicle model. The Fuzzy logic control strategy for the semi-active suspension was proposed. By means of dissipating the energy of vibration and decreasing the peak value of the body acceleration via the action of damping, the parameter-self-adjust fuzzy controller was established. The united simulation of ADAMS and Matlab/Simulink were used for demonstrating the efficiency of the controller. Comparing with the practical passive suspension possessing the nonlinear character and the present fuzzy controller, the control system based on the new-style strategy provides better ride comfort and road handling.     

Design optimization of magneto-rheological damper based on finite element parametric language

The mountain hazards like snow avalanches, landslides, rock falls, debris flows and so on all have strong power of destruction which seriously threaten human’s lives and belongings. Therefore, it is necessary to study more the development of these disasters in order to prevent them. Setting up obstacles is the primary measure to control the movement and deposition process of mountain hazards. For the study of the influence of this measure on the development of disasters, the numerical simulation calculation aiming at the flow and deposition process of the granulars flowing past different built obstacles was made by the theory of SH granular flow and the method of finite volume discretization based on Roe's Scheme. Futhermore, the influence of different settings of obstacles on the granular flow is discussed. The numerical results show that the settings of obstacles have a great effect on the process of granular flow. That is, the effective precaution against the disasters is no other than setting up the obstacles correctly. As the numerical simulation calculation can optimize the setting of obstacle, it provides a reasonable and economic reference scheme of disaster prevention and planning of mountain area.     

Fuzzy adaptive tracking control for MIMO nonlinear time-varying delay systems

A fuzzy adaptive tracking control scheme is proposed for MIMO nonlinear time-varying delay systems. A fuzzy T-S model-based adaptive time-varying delay fuzzy logic systems is developed to approximate the unknown nonlinear time-varying delay functions.Thus, the modeling to nonlinear systems is implemented. The update laws for parameters of the fuzzy logic systems are derived by the tracking error. A Hcompensator is designed to eliminate fuzzy approximation errors and external disturbances. Based on Lyapunov stability theorem, the proposed control scheme can guarantee the stability of the closed loop systems and obtain anticipant Htracking performance as well. Simulation results of the manipulator demonstrate the effectiveness of the control scheme.     

A Review of Recent Advances in Research and Development on Vehicle Semi-Active Suspension Systems

Based on the systems engineering theory, this paper reviews the trend of researches and developments on vehicle semiactive suspension systems, analyzes states of researches on electrorheological fluids and magnetorheological fluids material,and puts forward semi_active suspension sytems based on magnetorheological fluids damper. On the basis of summing up existing methods for vibration control on semi_active suspension systems, emphases are put on the discussion of aplication of PID control. linear optimal control,adaptive control and intelligent control on the semi_active suspension systems. The compound control strategy is put forward based on the skyhook damping control theory, fuzzy control theory and adaptive control theory. Moreover, the integral idea about the research and development of semi_active suspension is based on MR damper,and discusses some theories and applied problems deserving research.     

THE CHARACTERISTICS OF FUZZY AND ADAPTIVE PI COORDINATE DECISION CONTROLLER

On the basis of analysing problems of conventional fuzzy controller in the design of the structure and algorithm, this paper puts forward a kind of control algorithm that is fuzzy and Adaptive PI coordinate decision controller (FACDC) . It adopts the hierarchial control structure imitating intelligent control and combines fuzzy controller and adaptive PI controller. It takes full advantage of two controllers. Since the algorithm of FACDC in model reference fuzzy adaptive algorithm, it avoids the complexity of conventional adaptive algorithm.     

Experimental Investigation on Factors for Magneteroheogical Effect

Magnetorheological(MR) fluids are the suspensions consisted of micron size magnetically polarizable particles and carrier liquid as well as some additives.They have broad potential applications such as dampers,brakes,clutches,engine mounts and so on due to their particular magnetorheological effect.This paper experimentally investigates the magnetorheological effect of Magnetorheological(MR) fluid.It shows the dependence of magnetorheological effect of MR fluid on the applied magnetic field,the particle susceptibility,the particle volume fraction,the particle size,the additive,and the confecting technology.It describes the response to these factors.The results provide the basis with developing MR fluids and engineering applications.     

Robust H control for vehicle seat suspension systems with stochastic disturbance

The paper proposes the design method of robust H controller of vehicle seat suspension system. The dynamic model of seat suspension is developed,and the parameters uncertainties (mass, stiffness, damping) and stochastic vibration are introduced into the model system. Based on stochastic differential theory and Lyapunov functional, a semi controller is designed, and the controller parameters are solved by linear matrix inequality (LMI) which guarantees H performance index. The simulation results in time domain and frequency domain show that the controller designed for parameter uncertainties and stochastic vibration can attenuate the vertical acceleration of suspension system and improve riding comfort of human.     

Study of Multivariable Adaptive Fuzzy Control Algorithm With Hierarchical Structure

In this paper a class of multivariable fuzzy adaptive con trol algorithm withdecoupling design is propoed,The proposed simplification controller is based on the decompositiontheorem of muItivarinble fuzzy conditional statement andhierarchical multirules structure,Thefuzzy modification of controller's rule is achieved by looking for a medifiable coefficient table forrestraining disturbance.Simulation results demonstrate the effectiveness of the controller.     

Fuzzy Control Strategy and Simulation for ISG-Type Hybrid Electric Vehicles

Fuzzy control strategy is used to study the fuel economy of ISG-Type hybrid electric vehicle with CVT.Based on the instantaneous state of vehicle,the fuzzy logic controller is built aiming to get minimum fuel consumption.In order to avoid the subjective factor,the control rules are established with the optimized results from the sequence quadratic programming(SQP) method.Through the second development of ADVISOR,the simulation for ISG hybrid electric vehicle at different cycles has been accomplished.The results show that the fuzzy logic control strategy is efficient in improving the fuel economy of hybrid electric vehicle.     

Adaptive RBF networks backstepping control of robots with filtering reducer transmission

A mathematic model for filtering reducer transmission robots which have the characteristics of parameter uncertaintiesexternal disturbancestrong couplingnonlinearities and multi-variable is establishedand then an adaptive RBF networks backstepping method is proposed to control the robot.RBF is employed to approach the nonlinear item of the filtering reducer transmission robot on lineand an adaptive RBF network controller is developed based on backstepping method which effectively suppresses the effect of parameter uncertainties and external disturbance etc.It is combined with Lyapunov stabilization analytical method to demonstrate the close loop system convergence.Simulation results verify that the proposed controller not only satisfies high performance position trackingbut also has good accuracy and robustness.     

A Self-Learing Chinese Character Recognition System

A method using possibility theory and fuzzy logic is introduced. Possibility functions of each feature are determined during training. Methods of fuzzy logic are used to combine the possibility of different features. This Chinese character recognition system consists of a pre-classifier and a two-level fine classifier. In order to handle deviations of the characters,a fuzzification of features is introduced. This method is used to develop single-font classifiers. The whole system consists of a font-classifiers and four single-font-classifiers.     

Application of Fuzzy Control in Direct Torque Control of an Induction Motor

The key of motor control is to control motor's torque essentially.Direct torque control,which emerged after the field-oriented control,directly stresses the instantaneous torque control of induction machine,which avoids some problems existing in field-oriented control,thus,it gets more attention.In conventional direct torque control system,switch vector is selected directly by the errors of stator flux-linkage and torque,after introducing fuzzy logic,optimal selecting switch state is realized by various strategies by distinguishing the grade of the errors of stator flux-linkage and torque,the dynamic and steady state performances of induction motors are improved.This paper presents a design method of the fuzzy controller.Simulation results demonstrate that it is effective,the stator currents pulsation at start-up and the torque pulsation are decreased.     

A fuzzy logic multicasting algorithm for ad hoc networks

To increase the multicasting efficiency of Ad hoc networks, a fuzzy logic multicasting algorithm (FLMA) is proposed. FLMA adopts the fuzzy logic to tolerate the imprecise information caused by dynamic network topology. The two input variables of the fuzzy logic system are the relative degree of the additional coverage node number and the relative degree of the residual energy. The deferring time of rebroadcast is the output variable of the fuzzy logic system, which is used to optimize the priority of the nodes to rebroadcast. FLMA reduces the redundant retransmission and the chance of the contention and collision, while balances the energy consumption of the nodes. Simulation results reveal that the FLMA achieves better performance than BCAST in terms of the network lifetime, average end-to-end delay, the average number of drops per node and the throughput.     

Fuzzy Control and Simulation of Regulating System for Permanent Magnet Synchronous Motor

This paper researches the fuzzy control and simulation of regulating system for PMSM in electrical vehicle. The mathematics model is set up.The PMSM,the PMSM measures demux, dq to abc converter and the three phrase PWM converter models are set up in MATLAB/ Simulink. The fuzzy controller is designed with two dimension fuzzy design method, and take E and EC as input variable, U is the output variable. According to the controller and models, the fuzzy control model of regulating system for PMSM is created in matlab/simulink. At last, to test the accuracy of the control method with the simulation result.     

温室环境参数智能控制系统的设计

依据温室控制要求,介绍了模糊控制技术在温室控制系统中的应用,给出了模糊控制器的实现过程。实践表明,该控制器具有良好的控制效果。     

Intelligent Control to the Automatic Cruise System of AMT Vehicle

A dual closed-loop automatic cruise control system is proposed according to the properties of the AMT system with cruise control function inside, which is developod by the authors. The human simulated intelligent fuzzy control is applied to the inner loop of throttle position control while the conventional fuzzy control is applied to the outer loop of vehicle speed control. The scheme of the whole control system and the design process of the controller are presented. The experimental results show that with the proposed dual closed-loop control system, the unstable phenomena of engine speed can be eliminated and the throttle control responses fast without buffeting. Moreover, the system has the advantages of easy manipulation and reliable operation. The controller has the advantages of free of accurate mathematical model and easy to carry out and high robust and so on.     

Simulating Human Intelligent Fuzzy Control to the Throttle Actuator of AMT

This paper discusses the idea and design procedures of applying the fuzzy controller with simulating human intelligent control to throttle actuator of automobile engine of AMT. It is presented that the structure of electronic-controlled hydraulic throttle actuator, the composition of the control system, the control algorithms and the experiment results of the fuzzy controller with simulating human intelligent control. The experiment results and the application show that applying fuzzy controller with simulating human intelligent control to the electronic-controlled hydraulic throttle actuator can ensure the fast response, the stability and the higher control precision and meet the requirements of the actual application.     

Robust adaptive control for nonlinear chaotic systems

Tracking control of a nonlinear uncertain Chua's chaotic system is studied. With coordinate transform, Chua's chaotic system is transformed to a general form of a strict feedback control system. Combining the backstepping method with robust control technology, an adaptive parameter control law for a robust output feedback control scheme is developed for output tracking of nonlinear unknown systems. It is shown that the derived robust adaptive controller based on Lyapunov stability theory can guarantee global uniformly bounded ultimate property for all states of the closed loop system, and lead to tracking error decreasing at exponential speed. The simulation results show the effectiveness of the proposed approach.     

Temperature Fuzzy PID Control for Variable Air Volume System

Fuzzy PID controller was applied in variable air volume system. The task was to control the temperature of supply air and the temperature of air conditioned room (the return air temperature) close to their respective targets. The fuzzy PID control system of supply air temperature and return air temperature was designed respectively. The supply air temperature was controlled through adjusting the valve opening of chilled water. And the indoor temperature was controlled through adjusting the rotational speed of variable frequency ventilator. The supply air temperature and the indoor temperature (return air temperature) were controlled online by fuzzy PID controller. Thus, it was shown that the design of fuzzy PID controller was reasonable and the effect of fuzzy PID control was well.