The use of electrical signals to restore the function of paralyzed muscles is called functional electrical stimulation (FES). FES is a promising method to restore mobility to individuals paralyzed due to spinal cord i...
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A reasonable control strategy for Parallel Hybrid Electric Vehicle can achieve optimal energy distribution so as to obtain good fuel economy and lower emissions. The article uses CRUISE to establish a powertrain model...
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A reasonable control strategy for Parallel Hybrid Electric Vehicle can achieve optimal energy distribution so as to obtain good fuel economy and lower emissions. The article uses CRUISE to establish a powertrain model for ISG_Type Parallel Hybrird Electric Vehicle, adopting MATLAB/stateflow to develop powertrain control strategy, then conduct joint simulation. In this paper, logic threshold control strategy based on engine optimization is proposed. According to different PHEV(Parallel Hybrid Electric Vehicle) operating modes, adopting reasonable torque distribution algorithm to make engine work along optimal operation line. By using simulation platform CRUISE, simulation for the control strategy based on NEDC driving cycles is conducted. The results indicate that hybrid electric vehicle has better fuel economy and emissions than traditional vehicle.
FES induced movement control is a significantly challenging area due to complexity and non-linearity of musculo-skeletal system. The goal of this study is to design a cycle-to-cycle control of FES-induced swinging mot...
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This paper proposes the generalized projective synchronization for chaotic heavy symmetric gyroscope systems versus external disturbances via sliding rule-based fuzzy control. Because of the nonlinear terms of the gyr...
This paper proposes the generalized projective synchronization for chaotic heavy symmetric gyroscope systems versus external disturbances via sliding rule-based fuzzy control. Because of the nonlinear terms of the gyroscope, the system exhibits complex and chaotic motions. Based on Lyapunov stability theory and fuzzy rules, the nonlinear controller and some generic sufficient conditions for global asymptotic synchronization are attained. The fuzzy rules are directly constructed subject to a common Lyapunov function such that the error dynamics of two identical chaotic motions of symmetric gyros satisfy stability in the Lyapunov sense. The proposed method allows us to arbitrarily adjust the desired scaling by controlling the slave system. It is not necessary to calculate the Lyapunov exponents and the Eigen values of the Jacobian matrix. It is a systematic procedure for synchronization of chaotic systems. It can be applied to a variety of chaotic systems no matter whether it contains external excitation or not. It needs only one controller to realize synchronization no matter how much dimensions the chaotic system contains, and the controller is easy to be implemented. The designed controller is robust versus model uncertainty and external disturbances. Numerical simulation results demonstrate the validity and feasibility of the proposed method.
The optimizing design of hybrid electric vehicle (HEV) aims at improving fuel economy and decreasing emissions subject to the satisfaction of its drivability. The concurrent optimization for main parameters of powertr...
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The optimizing design of hybrid electric vehicle (HEV) aims at improving fuel economy and decreasing emissions subject to the satisfaction of its drivability. The concurrent optimization for main parameters of powertrain components and control system is the key to implement this objective. However, this problem is challenging due to the large amount of coupling design parameters, conflicting design objectives and nonlinear constraints. A comprehensive methodology based on the Non-dominated Sorting Genetic Algorithms (NSGA) is presented in this paper to achieve parameters optimization for powertrain and control system simultaneously and find the Pareto-optimal solutions set successfully. This optimal solutions set provides a wide range of choices for the design, which can improve the fuel economy and reduce emissions without sacrificing vehicle performance. A case simulation is carried out and simulated by ADVISOR, the results demonstrate the effectiveness of the algorithms proposed in this paper.
control of vibration suppressions is crucial for applications in engineering particularly in the area of aircraft system. An augmented control approach encompasses of using a feedforward intelligent command shaping te...
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This study proposed a model based fault detection and isolation (FDI) method using multi-layer perceptron (MLP) neural network. Detection and isolation of realistic faults of an industrial gas turbine engine in steady...
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This paper presents the architecture of autonomous material handling vehicles. The centralized coordination of multiple vehicles and three-layer architecture (deliberative, sequencing, and reflexive layers) are adopte...
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The close loop P type iterative learning control is proposed for systems with state delay in this paper. The design procedure is based upon obtaining the sufficient condition of convergence by Lyapunov theory, an iter...
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The close loop P type iterative learning control is proposed for systems with state delay in this paper. The design procedure is based upon obtaining the sufficient condition of convergence by Lyapunov theory, an iterative learning law is obtained by resolving linear matrix inequalities (LMI). The proposed method is more easily realized and strong practical. The scheme proposed guarantees that the tracking error converges to a pre-specified error bound after finite iterations. Finally the simulation results show the effectiveness and feasibility of the proposed algorithm.
In this note, a repetitive learning control (RLC) approach is proposed to deal with periodic tracking tasks for uncertain time-varying delay systems. The design of an open-close loop P type iterative learning controll...
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In this note, a repetitive learning control (RLC) approach is proposed to deal with periodic tracking tasks for uncertain time-varying delay systems. The design of an open-close loop P type iterative learning controller is studied for uncertain time-varying delay systems. The design procedure is based upon obtaining the sufficient condition of convergence by Lyapunov theory, an iterative learning law is obtained by resolving linear matrix inequalities (LMI).
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