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This paper analyzes the functionality of a sensorless traction control system for hydrid electric vehicle. The traction control system was developed using a multibody dynamics simulator, and it is based on a fuzzy logic controller. The system is introduced and the functionality is then verified by using an experimental vehicle. Simulation results from the multibody dynamics simulator and measurements...
Pure Electric vehicle has become the better option in comparison with the other alternative fuel based vehicles overcoming all constrains regarding distance coverage, vehicle speed and size. A vehicle performance and energy enhancement system in an Electric Vehicle is very much dependent to load characteristics. The distribution of load, placement of parts and components on a vehicle will not remain...
This paper presents a mechanism for wheelchair transformation from two-wheeled upright position to four-wheeled position using a modular fuzzy logic control (MFC) approach. A wheelchair model that can be operated in four-wheeled and two-wheeled modes has been developed within the Visual Nastran environment and integrated with Simulink for control purposes. A multi-input multi-output modular fuzzy...
This paper presents the results of an investigation into suitable torque control schemes for an electric vehicle application. The electric vehicle drive consists of rewound induction motors and a three-level IGBT inverter switching at 10 kHz. The schemes investigated are Direct Torque Control DTC with three-level IGBT inverter, and a new direct-torque fuzzy control (DTFC) scheme of induction motor...
A traction control system (TCS) using fuzzy sliding mode control (FSMC) is proposed for the electric scooter with direct driven wheel motor in this paper. First, road friction coefficient is estimated using normal force observer and traction force observer. A road condition observer is then employed to estimate the gradient of road friction coefficient with respect to the tire slip ratio. An innovative...
Hybrid under-actuated control for the autonomous dynamic balance of a running electrical bicycle including frictional torque and motor dynamics is developed, where includes two control inputs: steering and pendulum voltages, and three system outputs: steering, lean and pendulum angles. Due to the under-actuated feature, two novel reference signals using three system outputs are designed so that the...
The purpose of this paper is to investigate and implement a novel approach to learning control for permanent magnet synchronous motor (PMSM) drive system using a hybrid recurrent fuzzy neural network (HRFNN) control. First, the field-oriented mechanism is applied to formulate the dynamic equation of the PMSM servo drive. Then, a HRFNN speed control system that combined supervisor control, RFNN and...
The purpose of this paper is to investigate and implement a novel approach to learning control for permanent magnet synchronous motor (PMSM) drive system using a hybrid recurrent fuzzy neural network (HRFNN) control. First, the field-oriented mechanism is applied to formulate the dynamic equation of the PMSM servo drive. Then, a HRFNN speed control system that combined supervisor control, RFNN and...
In this paper, a fuzzy steering control strategy is presented for the dual-motor electric tracked vehicle. The strategy is devoted to the steering dynamic process; altering the control the dual motors' torque outputs such that the vehicle can answer the driver's steering operation more rapidly. The two inputs of fuzzy algorithm are the driver's steering wheel angel and its differential coefficient,...
This article is concerned about the analysis, design, and simulation of an electric power steering (EPS). The article begins by introducing the EPS system concept and comparing the technical and commercial benefits with existing technologies. Being more versatile than conventional hydraulic power steering, EPS systems excel in engine efficiency, space saving, and environmental friendly. The remainder...
This paper proposes a new adaptive fuzzy active disturbance rejection control design technique on permanent magnet synchronous motor (PMSM). Fuzzy logic control is applied to adjust the proportional coefficient of nonlinear proportional error control (NLPE). The extended state observer (ESO) is used to track and estimate the uncertainty of PMSM system including unmodeled dynamics, load disturbances...
Vehicle yaw stability enhancement controller for four-wheel-drive electric vehicle is proposed in this paper based on the fuzzy logic control technique. Brake differential control is used to stabilize vehicle yaw motion significantly. However, the forces between road and tires are not utilized effectively enough. As four motors are mounted in the four wheels individually to drive the vehicle, the...
The inertia, damp and friction force of machine reduces steering-wheel returnability, which drivers occasionally perceive as unpleasant. This phenomenon occurs in any EPS system regardless of motor type or mounting location. In this paper the fuzzy logic control scheme based on angle absolute position for steer wheel return-to-center is proposed to improve the return ability of electric power steering...
In-wheel-motor drive electric vehicle (EV) is an innovative configuration, in which each wheel is driven individually by an electric motor. It is possible to use an electronic differential (ED) instead of the heavy mechanical differential because of the fast response time of the motor. A new ED control approach for a two-in-wheel-motor drive EV is devised based on the fuzzy logic control method. The...
In order to improve dynamic performance and reduce switching loss of permanent magnet synchronous motor system in electric vehicle drive, a self-adjusting direct torque control strategy is proposed. Based on the analyses of zero voltage vector in DTC, fuzzy control rules with zero voltage vector are presented to acquire both quick dynamic torque response of PMSM and reduced switching loss of inverter...
This paper presents a new design of 30 kw SRD based on fuzzy logic adaptive control, according to the requirement of electric vehicle to the drive system. A new structure is applied on the SRM rotor to minimize the torque fluctuation and noise of the SRM. Based on the experimental results, the SRD system has a low startup current, small torque fluctuation, wide range of speed regulation and high efficiency,...
Compared with traditional fuel vehicles, electric vehicles need to deal with the problem of mapping relationship between accelerator pedal and motor-driving torque. At present, this problem is mainly resolved by means of PID control and Fuzzy control. However, the issues on stability, real-time performance, adaptability and complex achievement follow, too. In this paper, a neuromuscular-like model...
In this paper, the fuzzy logic controller for a parallel hybrid electric vehicle is proposed. The required torque for deriving in parallel hybrid vehicle is generated by a combination of internal-combustion engine and an electric motor. The fuzzy logic controller was designed based on the state of charge of batteries and the desired torque for driving. The output of the controller actually controls...
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