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A modified direct adaptive robust motion trajectory tracking controller of a pneumatic system

机译:气动系统的改进的直接自适应鲁棒运动轨迹跟踪控制器

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In this study, we developed and tested a high-precision motion trajectory tracking controller of a pneumatic cylinder driven by four costless on/off solenoid valves rather than by a proportional directional control valve. The relationship between the pulse width modulation (PWM) of a signal’s duty cycle and control law was determined experimentally, and a mathematical model of the whole system established. Owing to unknown disturbances and unmodeled dynamics, there are considerable uncertain nonlinearities and parametric uncertainties in this pneumatic system. A modified direct adaptive robust controller (DARC) was constructed to cope with these issues. The controller employs a gradient type adaptation law based on discontinuous projection mapping to guarantee that estimated unknown model parameters stay within a known bounded region, and uses a deterministic robust control strategy to weaken the effects of unmodeled dynamics, disturbances, and parameter estimation errors. By using discontinuous projection mapping, the parameter adaptation law and the robust control law can be synthesized separately. A recursive backstepping technology is applied to account for unmatched model uncertainties. kalman filters were designed separately to estimate the motion states and the derivative of the intermediate control law in synthesizing the deterministic robust control law. Experimental results illustrate the effectiveness of the proposed controller.
机译:在这项研究中,我们开发并测试了一种由四个无成本开/关电磁阀而不是比例方向控制阀驱动的气缸的高精度运动轨迹跟踪控制器。实验确定了信号占空比的脉宽调制(PWM)与控制律之间的关系,并建立了整个系统的数学模型。由于未知的干扰和未建模的动力学,该气动系统中存在相当大的不确定非线性和参数不确定性。修改后的直接自适应鲁棒控制器(DARC)被构造来解决这些问题。控制器采用基于不连续投影映射的梯度类型自适应定律,以确保估计的未知模型参数停留在已知的有界区域内,并使用确定性的鲁棒控制策略来减弱未建模的动力学,干扰和参数估计误差的影响。通过使用不连续投影映射,可以分别合成参数自适应定律和鲁棒控制定律。递归反推技术被应用来解决模型匹配中无法比拟的不确定性。在合成确定性鲁棒控制定律时,单独设计了卡尔曼滤波器,以估计运动状态和中间控制定律的导数。实验结果说明了所提出控制器的有效性。

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