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...
详细信息
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...
详细信息
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...
详细信息
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...
详细信息
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...
详细信息
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...
详细信息
Hoisting system is the key part of the girder hoister, and its reliability determines the stability and security of the girder hoister directly. Hoisting system consists of mechanical, electrical and hydraulic compone...
详细信息
Based on multi-machine excitation control models, using fuzzy adaptive theory and considering the muti-machine nonlinear system whose states are not available, observer-based adaptive fuzzy output feed back control sc...
详细信息
A distinctive new LMS algorithm is proposed in his paper. Both fast convergence rate and small steady state rror can be obtained through non-linear weighting N errors of the current moment and past moments in this alg...
详细信息
ISBN:
(纸本)9781424463343
A distinctive new LMS algorithm is proposed in his paper. Both fast convergence rate and small steady state rror can be obtained through non-linear weighting N errors of the current moment and past moments in this algorithm. The algorithm analyzed that the ideal step size is achieved by increasing the error information, building new nonlinear relations between step size factor and error function and eliminating the effect of correlated noise sequences. Then the new algorithm is applied to the fixed satellite communications system in which the channel is affected by multipath effect and weather conditions attenuation. Simulation results show that the new algorithm converges faster than usual algorithms under approximate steady state performance. The signal BER performance is greatly improved with the new adaptive algorithm equalizer in the fixed satellite communications system.
To tackle the multi-objective problem in the process of tandem cold rolling, a mathematical model of multi-object optimization is presented. Taking equal relatively power and prevent slippage as objective functions. A...
详细信息
暂无评论