Through analyzing of the electric power steering (EPS) structure and union the vehicle dynamic characteristics, this paper establishes a mathematical model of EPS. And the EPS system simulation model based on Matlab/S...
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Aimed at the rotor speed unmeasured, this paper presents a speed sensorless control strategy with observer for permanent magnet wind turbine generator based on port-controlled Hamiltonian (PCH) model. The PCH model is...
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Aimed at the rotor speed unmeasured, this paper presents a speed sensorless control strategy with observer for permanent magnet wind turbine generator based on port-controlled Hamiltonian (PCH) model. The PCH model is established by taking full advantage of the physics structure of wind turbine system and then the full-order observer is proposed based the PCH model to estimate rotor speed. This structure of controller is simple but also reflecting physical meaning. Moreover, an adaptive controller is investigated under the uncertain parameters and the external disturbance. The proposed strategy is proved valid by the simulation illustration.
To deal with the problems caused by unmatched uncertainties and external load disturbance exist in mill hydraulic servo position system, a robust adaptive controller design method is presented in this paper. The contr...
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To deal with the problems caused by unmatched uncertainties and external load disturbance exist in mill hydraulic servo position system, a robust adaptive controller design method is presented in this paper. The controller is composed of a state feedback controller and an adaptive compensator, the state feedback controller is obtained by solving a Riccati equation, and the compensator is obtained by estimating the upper bounds of the unknown external disturbances. It is proved that the global asymptotic stability of the resulting closed-loop system can be guaranteed. Finally, simulation results for the mill hydraulic servo position system illustrate the validity of the proposed algorithm.
A robust predictive control algorithm based on memory state feedback is proposed for a class of uncertain discrete time system with input constraint and multiple state delays. By introducing Lyapunov-Krasovskii functi...
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A robust predictive control algorithm based on memory state feedback is proposed for a class of uncertain discrete time system with input constraint and multiple state delays. By introducing Lyapunov-Krasovskii function and using linear matrix inequality (LMI) method, the algorithm can convert the infinite time domain optimization problems into linear programming problems. Sufficient conditions of the existence and explicit expression for the memory state feedback controller are obtained, and the control input can satisfy constraint as well. Asymptotical stability of the closed-loop system and minimum of robust performance index can be guaranteed simultaneously. Finally, the simulation results illustrate the effectiveness of the proposed algorithm.
The most frequently used component of a wind turbine is bearing which failure could lead to malfunction and ultimately complete stall in a mission-critical equipment. Hence, bearing fault detection is an imperative pa...
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The most frequently used component of a wind turbine is bearing which failure could lead to malfunction and ultimately complete stall in a mission-critical equipment. Hence, bearing fault detection is an imperative part of preventive maintenance procedures in a wind turbine. This paper presents a free parameter approach to implement bearing condition monitoring and fault diagnosis. This approach extracts the amplitude and frequency modulations of faulty vibration signals that measured from a wind turbine system. The amplitude demodulation is inherent, and the fault frequency will be detected from the spectrums of the signal. The effectiveness of this approach has been validated by using simulated signal and experimental evaluation.
Aimed at the rotor speed unmeasured, this paper presents a speed sensorless control strategy with observer for permanent magnet wind turbine generator based on port-controlled Hamiltonian (PCH) model. The PCH model is...
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This paper is concerned with the joint power and carrier allocation problem in cognitive radio networks based on OFDMA. Considering the limit of the throughput for original resource allocation algorithm, we propose th...
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This paper is concerned with the joint power and carrier allocation problem in cognitive radio networks based on OFDMA. Considering the limit of the throughput for original resource allocation algorithm, we propose the improved framework, in which the secondary user can transmit with a proper power as the primary user is active. Numerical results show that the proposed algorithm can improve the throughput of the network effectively.
For the rotor speed control of the grid-connecting of wind turbines with hydraulic transmission, the system dynamics model is built. To address the difficulty in accurate control of rotor speed for external disturbanc...
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For the rotor speed control of the grid-connecting of wind turbines with hydraulic transmission, the system dynamics model is built. To address the difficulty in accurate control of rotor speed for external disturbance and uncertain internal disturbances while connecting to the grid, an adaptive Backstepping controller was designed. The convergence was proved with Lyapunov stability theory. The condition of a constant rotor speed for connecting to grid was meted. The simulation results show that the systerm provides a good dynamic response and strong robustness when system parameters and load torque disturbances appeared.
A robust predictive control algorithm based on memory state feedback is proposed for a class of uncertain discrete time system with input constraint and multiple state delays. By introducing Lyapunov-Krasovskii functi...
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To deal with the problems caused by unmatched uncertainties and external load disturbance exist in mill hydraulic servo position system, a robust adaptive controller design method is presented in this paper. The contr...
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