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Optimal Design and Hybrid Control for the Electro-Hydraulic Dual-Shaking Table System

机译:液压双摇台系统的优化设计与混合控制

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This paper is to develop an optimal electro-hydraulic dual-shaking table system with high waveform replication precision. The parameters of hydraulic cylinders, servo valves, hydraulic supply power and gravity balance system are designed and optimized in detail. To improve synchronization and tracking control precision, a hybrid control strategy is proposed. The cross-coupled control using a novel based on sliding mode control based on adaptive reaching law (ASMC), which can adaptively tune the parameters of sliding mode control (SMC), is proposed to reduce the synchronization error. To improve the tracking performance, the observer-based inverse control scheme combining the feed-forward inverse model controller and disturbance observer is proposed. The system model is identified applying the recursive least squares (RLS) algorithm and then the feed-forward inverse controller is designed based on zero phase error tracking controller (ZPETC) technique. To compensate disturbance and model errors, disturbance observer is used cooperating with the designed inverse controller. The combination of the novel ASMC cross-coupled controller and proposed observer-based inverse controller can improve the control precision noticeably. The dual-shaking table experiment system is built and various experiments are performed. The experimental results indicate that the developed system with the proposed hybrid control strategy is feasible and efficient and can reduce the tracking errors to 25% and synchronization error to 16% compared with traditional control schemes.
机译:本文旨在开发一种具有高波形复制精度的最优电动液压双振动工作台系统。详细设计和优化了液压缸,伺服阀,液压供应功率和重力平衡系统的参数。为了提高同步和跟踪控制精度,提出了一种混合控制策略。为了减少同步误差,提出了一种基于自适应到达律(ASMC)的基于滑模控制的新型交叉耦合控制方法,该方法可以自适应地调节滑模控制(SMC)的参数。为了提高跟踪性能,提出了一种结合前馈逆模型控制器和干扰观测器的基于观测器的逆控制方案。应用递推最小二乘(RLS)算法识别系统模型,然后基于零相位误差跟踪控制器(ZPETC)技术设计前馈逆控制器。为了补偿干扰和模型误差,干扰观察器与设计的逆控制器配合使用。新颖的ASMC交叉耦合控制器和基于观察者的逆控制器的组合可以显着提高控制精度。建立了双摇表实验系统,并进行了各种实验。实验结果表明,所提出的混合控制策略的系统是可行和高效的,与传统控制方案相比,可以将跟踪误差降低到25%,将同步误差降低到16%。

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