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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 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...
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...
Has analysised ideal working mode of split hybrid electric vehicle, a new control method for work state based on fuzzy neural network is studyed. Using fuzzy neural network control method is able to control the work state of driving system adaptively, save energy and improve engine power. The fuzzy neural control model is built by MATLAB/SIMULINK. Simulation results show that this method has a better...
A fuzzy control based on particle swarm optimization of heavy truck EPS system control strategy is proposed, on the basis of vehicle EPS system overall design, combined with the driver steering subjective feeling and the sense of road requirements designed assistance characteristics curve, steering system model, 7 degrees of freedom vehicle dynamics model. The simulation experimental results show...
Nowadays a car is controlled by the driver himself, applying gas and brake pedals independently to achieve the appropriate velocity. He is supported by gadgets like anti brake locking system (ABS) and drive slip control (DSC) to keep the vehicle stable and manoeuvrable even in extreme situations e.g. on slippery or icy surface. Sudden torque changes either at the engine or at the brakes make the drive...
Based on the analysis of working principle and characteristics of magnetic powder clutch, the key design features of the magnetic powder clutch were proposed. And for nonlinear problems in the control process of the vehicle magnetic powder clutch, a starting fuzzy control system for the magnetic powder clutch is established. The simulation results showed that the fuzzy controller can solve the connection...
In order to make the automatic clutch better in accordance with the “fast, slow, fast” rules for action, this paper presents a multi-mode control. According to clutch engaging process we take P control before the half juncture, engagement speed control section adopts fuzzy control, synchronous speed control section of the use of PID overall control strategy. The experimental results show that, this...
Driver is the decision-maker of vehicle's target behaviors actually. In the simulation of a Driver-Vehicle-Environment system, a driver model is essential to correct the steering wheel angle input in right time based on the road conditions. In this paper, a new driver model is introduced. Firstly, a real-time algorithm based on dynamic parameters of vehicle body is established to estimate body posture...
The EMS(energy management strategy) based on fuzzy logic is presented in this paper, which is designed in MATLAB and Simulink to control the torque of the engine. The required torque and the SOC(state of charge) of the battery and UC (ultracapacitor) are used as the inputs of the EMS. The EMS is mainly consisted of two FLCs(fuzzy logic controller), which are switched according to the SOC of the UC...
A simplified model (mono-track vehicle) of ADT is built and a fuzzy dynamic sliding mode control method is used for tracking of the ADT during slippage of its wheels without braking. By regulating the switching surface parameters with fuzzy logic method in real time, the proposed controller can track a reference input wheel slip in a short time. A simulation model generated by MATLAB/Simulink is used...
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...
According to the characteristic of commercial vehicle EPS system, this paper proposes application of the fuzzy PID control strategy to EPS system. This strategy adjusts PID parameters online according to the various operating conditions, and its advantages are faster dynamic response speed of fuzzy control and higher precision of PID control. Through Simulink simulation of fuzzy PID control and PID...
Anti-lock and also Anti-slip braking system controller designed for stability enhancement of vehicle during braking and turning circumstances is presented. Using available signals, a novel structure is proposed for vehicle stability improvement encountering critical braking conditions such as braking on slippery or μ-split road surfaces. In conventional vehicles, undesired lane changes may occur due...
Vehicle emission reduction has been a research objective for many years, by improving fuel economy and energy efficiency. Therefore, this paper presents a fuzzy logic controller for a Parallel Hybrid Electric Vehicle (PHEV). The PHEV required driving torque is generated by a combined contribution from an Internal Combustion Engine (ICE) and an Induction Motor (IM). The proposed Fuzzy Logic Controller...
The coordinate throttle and brake control is one of the main challenges of vehicle longitudinal control. The main difficulties are due to the complexity and uncertainty of the vehicle dynamics, and the necessity of the switching between throttles and brakes. A hierarchical control system is proposed, in which an upper level controller determines the desired speed/acceleration for the controlled vehicle,...
Power-split continuously variable transmissions (CVTs) represent a promising technology to improve the fuel economy of high-power off-road vehicles such as construction and agricultural machines. Power-split CVTs are capable of keeping the combustion engine running within the optimal range in terms of fuel economy and performance. There are characterized by the combination of a traditional mechanical...
Based on a certain manual transmission of a heavy duty truck, a dual clutch transmission (DCT) structure was proposed and the simulation model was built by means of Matlab/Simulink. The control strategy, that the engine speed was controlled to follow the target speed, was put forward. Exact mathematical model of DCT is difficult to gain, thus fuzzy controller was adopted to control the engine throttle...
In this paper a method of designing the rule bases of fuzzy controllers for Wheel Slide Protection Systems (WSP) for rail vehicles is presented. In this method results of simulation of two reference controllers are used, both of which use signals which are nor available during normal operation of the systems, i.e. adhesion coefficient and translation velocity of the vehicle. Simulations have performed...
Antilock brake system (ABS) which is a nonlinear system may not be easily controlled by classical control methods. An additional challenging issue that manipulated in this search is the case of the so-called split-mu braking condition, where braking occurs while the wheels travel on different road surfaces. An intelligent fuzzy ABS controller is designed to adjust slipping performance for variety...
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