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Continuous-time indirect adaptive control of the electrohydraulic servo systems

机译:电液伺服系统的连续时间间接自适应控制

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A continuous-time robust indirect adaptive control (IAC) algorithm with a self-excitation capability is proposed for position control of an electrohydraulic servo system subject to parametric uncertainties and load disturbances. In this algorithm, a gradient least squares dead zone estimation is used to identify the plant parameters and then a linear pole-placement controller is designed using the estimate. By a coprimeness verification procedure, the proposed algorithm facilitates the establishment of the adaptive pole-placement control of the closed-loop system by using an additional nonlinear feedback signal implemented for supplying the system with sufficiently rich signals. An analysis shows this algorithm can guarantee parameter estimation convergence and system stability based on the certainty equivalence principle. The performance of the proposed algorithm is evaluated through both the simulation results and the experimental studies. Simulations and experiments are conducted to see how well the proposed algorithm compares with two existing control schemes in controlling the same process. The results show that the IAC scheme confirms the analysis and has considerable robustness subject to parametric uncertainties and load disturbances and has better performance than the other two controllers.
机译:提出了一种具有自励能力的连续时间鲁棒间接自适应控制(IAC)算法,用于受参数不确定性和负载干扰影响的电液伺服系统的位置控制。在该算法中,使用梯度最小二乘死区估计来识别工厂参数,然后使用该估计设计线性极点放置控制器。通过一个互质验证程序,通过使用为系统提供足够丰富的信号而实现的附加非线性反馈信号,该算法有助于建立闭环系统的自适应极点位置控制。分析表明,基于确定性等价原理,该算法可以保证参数估计的收敛性和系统稳定性。仿真结果和实验研究都对所提算法的性能进行了评估。进行仿真和实验,以了解该算法在控制同一过程中与现有的两种控制方案相比有多好。结果表明,IAC方案证实了分析结果,并且在受到参数不确定性和负载干扰的影响下具有相当高的鲁棒性,并且比其他两个控制器具有更好的性能。

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