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Regenerative braking is an effective method for hybrid electric vehicle (HEV) to extend their driving range. This paper proposes a method to recover more energy in the process of braking for hybrid electric vehicle using rear motor control. Firstly, a novel control strategy of braking force distribution of the front and rear wheels is proposed. Then, a fuzzy control strategy is designed to determine...
The mathematical models of the permanent magnet synchronous motor (PMSM) are complex systems, characterized by high coupling, nonlinearity, parameter variation and they are highly influenced by disturbances. Conventional PID control method cannot make the system set value tracking and interference suppression both in optimal. In this paper, a two-degree-of-freedom (2DOF) PID controller with a set-valued...
Wind power generation system based on four-port electromechanical converter (FPEC) is a new wind power system, which overcomes the shortcomings of many traditional wind power generation systems. According to its working mode and operating characteristics, this paper proposes an improved system control strategy as well as the concrete realization method based on fuzzy logic, which improves the energy...
Hybrid Electric Vehicle (HEV) is vehicle with least two energy sources. Internal combustion engine (ICE) and BLDCM are combination of commonly used energy sources. BLDCM serves to provide additional torque, with the purpose of HEV can reach set point speed according to the reference model. Commutation of BLDCM is still quite complicated because between the rotational speed of the motor and the speed...
In order to save energy and improve the driving distance of electric vehicle, a regenerative braking control strategy based on fuzzy control for the electric vehicle with four in-wheel motors is proposed in this paper. Firstly, the braking force is distributed between front axis and rear axis to ensure the safety and stability of the vehicle. Secondly, the braking force is distributed between hydraulic...
Adaptive fuzzy PID controllers, combining fuzzy controllers which are highly adaptable with conventional PID controllers which have no control error, have been used in vector control systems of permanent synchronous machines(PMSM). In this paper, an adaptive fuzzy PID controller of which membership functions are dramatically improved is designed and applied to a PMSM. Then, simulation in Simulink...
This paper addresses the shared lateral control between a human driver and a lane keeping assist system of intelligent vehicles for both lane keeping and obstacle avoidance. This control issue is very challenging in today's automotive industry due to the human–machine interaction involved in the control design. In this paper, we propose a new approach to consider such an interaction via a fictive...
To solve the problems of poor smoothness and big frictional work in start-up of automated mechanical transmission with wet clutch. The start-up fuzzy control strategies is proposed. The precise control of clutch pressure is obtained by using optimization of fuzzy control parameter based on ant colony algorithm. The simulation and experiment results showed that the control strategy reduces the driveline...
This paper presents proportional integral direct torque control (PIDTC) and fuzzy direct torque control (FDTC) of induction motor (IM) using bus clamped space vector modulation (BCSVM), in which BCSVM always clamps any phase of the inverter for given switching period. Conventionally, the total cost of control scheme significantly increases in real time applications as it needs to sense three voltages,...
The PID controllers featured in several commercial and industrial quadcopters present a simple framework which trivializes the control configuration process for these systems. However, since PID gains remain unchanged throughout the entire flight operation, only a single flight configuration is available for the quadcopter to move around. In order to give more flexibility to this control system, a...
This paper first presents a simplified single wheel model for underground mining electric vehicles with bounds of system uncertainties. Then, a fuzzy parameter tuning (FPT) technique is used to adjust the parameters in the sliding mode control (SMC) to improve system stability and robustness at an unexpected external disturbances and unbound system uncertainties. The comparison of the simulation results...
The article discusses the features of the control system of telescope axes' drive. Conventional PID control system can not reach a satisfaction tracking accuracy in the case of low speeds of axes movement due to elastic coupling and friction action in these two-mass systems. As a consequence in the systems oscillations occur. In this study, fuzzy adaptive PID controller is described and this controller...
The AS5048 is applied in high precision and small Angle position control system of scanning mechanism in portable raster scan type spectrum analyzer with dc torque motor. This paper expounds the working principle, main features of AS5048, installation and using, and implementation method in position control. The design of permanent magnet dc torque motor position control system adopts the special...
The mechanical inertial load holds a dominant position in all load simulation types and usually is simulated with mechanical flywheel, which may causes the complex structure, the high cost, installation, the inertia adjustment inconvenient and so on. According to these insufficiencies, this paper carries on design and research to the dynamic load simulation test platform, which using Permanent Magnet...
This paper presents an adaptive sliding self-organizing fuzzy controller (ASSOFC) designed using fuzzy theory and a self-organizing algorithm. Composed of a conventional fuzzy controller (FC) and self-organizing algorithm, the ASSOFC adopts the sliding surface signal as an input, uses the algorithm to adjust the central position of the output consequent membership function of the FC, and, by fuzzy...
In order to help spinal cord injury (SCI) patients to walk again, a medical robot exoskeleton have been developed to assist these patients to walk independently in SIAT, Shenzhen. The research of this article is exoskeleton robot single joint load adaptive servo control. Considering the volunteers, wearing an exoskeleton robot, joints have significant changes in load torque and the moment of inertia,...
In this paper, fuzzy control is introduced to reduce the big flux linkage and torque ripple of traditional PMSM DTC system. Simultaneously, using SVPWM to modulating voltages, using the full-order state observer to replace the integral part of the stator flux linkage observer, those method effectively reduce the dc drift, the integral error accumulation, other shortcomings and modulation precision...
Crawling conditions control for an Automatic Mechanical Transmissions (AMT) Vehicle is described in this paper, an AMT vehicle dynamic model and related control system simulation model based on Matlab / Simulink is built and the fuzzy controller is designed to realize the vehicle crawling control. The vehicle crawling speed can adapt to the driver's driving intent as well as the load changes. The...
This paper proposes a modified predictive direct torque control (PDTC) application specific integrated circuit (ASIC) with a fuzzy controller for eliminating sampling and calculating delay times in a motor drive. A finite delay time not only degrades the control quality but also increases both torque and flux ripples in the motor drive. The proposed PDTC ASIC with a fuzzy controller (fuzzy PDTC) not...
Stabilizing the angle while controlling the wheel position in single wheel inverted pendulum systems has always been a challenge for control engineers. The current paper presents a novel hierarchically optimized fuzzy controller to overcome this confrontation. The overall strategy of choosing between conflicting linguistic rules and determination of the knowledge-based of the system is discussed and...
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