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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 electric power steering (EPS) system is the mechatronic control system. The corrent PID control is the closed loop control with the error between the aim corrent and the motor armature backfeed corrent, and the fuzzy PID control is the mechatronic closed-loop system by the error which reflect the change of the turning-axis. In this paper we present the development of a vehicle's EPS control, based...
The clutch engagement control of automated mechanical transmission (AMT) system is the core and difficult issue in the development of AMT. This paper analyzes the clutch engagement process during starting in a bid to realize a stable starting with minor jerk and friction work. On the basis of the driverpsilas intention, the vehicle work states and the road information, fuzzy controller was used to...
In front wheels driven vehicles, fuel economy can be obtained by summing torques applied on rear wheels. On the other hand, unequal torques applied to rear wheels provide enhanced safety. In this paper, a model with seven degrees of freedom is considered for vehicle body. Thereafter, power-train subsystems are modeled. Considering an electrical machine on each rear wheel, a fuzzy controller is designed...
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...
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