Fractional order zero phase error tracking control of a novel decoupled 2-DOF compliant micro-positioning stage

2021 ◽  
Vol 31 (10) ◽  
pp. 105006
Author(s):  
Haitao Wu ◽  
Leijie Lai ◽  
Liqiang Zhang ◽  
Limin Zhu
2018 ◽  
Vol 75 ◽  
pp. 226-235 ◽  
Author(s):  
Lu Liu ◽  
Siyuan Tian ◽  
Dingyu Xue ◽  
Tao Zhang ◽  
YangQuan Chen

Author(s):  
Molong Duan ◽  
Keval S. Ramani ◽  
Chinedum E. Okwudire

This paper proposes an approach for minimizing tracking errors in systems with non-minimum phase (NMP) zeros by using filtered basis functions. The output of the tracking controller is represented as a linear combination of basis functions having unknown coefficients. The basis functions are forward filtered using the dynamics of the NMP system and their coefficients selected to minimize the errors in tracking a given trajectory. The control designer is free to choose any suitable set of basis functions but, in this paper, a set of basis functions derived from the widely-used non uniform rational B-spline (NURBS) curve is employed. Analyses and illustrative examples are presented to demonstrate the effectiveness of the proposed approach in comparison to popular approximate model inversion methods like zero phase error tracking control.


Author(s):  
Masayoshi Tomizuka ◽  
Liting Sun

Abstract Zero phase error tracking (ZPET) control has gained popularity as a simple yet effective feedforward control method for tracking time varying desired trajectories by the plant output. In this paper, we will show that the zero-order hold equivalent of continuous time transfer function, i.e. pulse transfer function, naturally has a property to realize zero phase effort tracking. This property is exploited to realize a simple implementation of zero phase error tracking control. The effectiveness of the proposed approach is demonstrated by simulations.


Author(s):  
Robert Schmidt ◽  
Matthew Begneaud ◽  
Joshua Vaughan

During crane operation, the task of retrieval and deployment of payloads can be partitioned into two components: the initial move towards the target or deployment location and the retrieval or deployment of the payload. If the payload is not stationary, as is the case in the retrieval of a sea-going vessel, a third component, tracking, must be included. The target payload in this research is an Autonomous Surface Vehicle (ASV) primarily used for surveying. This paper studies the transition between the initial move towards the payload and the initialization of tracking. Input Shaping is used to limit residual vibration caused by the initial move to the ASV. A set of Fuzzy Logic membership functions are then used to transition from the initial move to the tracking portion of the retrieval process. These membership functions map position and velocity error to a gain that is applied to the tracking controller. As the gain increases, the contribution of the tracking controller input is increased. Zero Phase Error Tracking Control is utilized for accurate tracking of the target payload. Through a combination of these control methods, the tracking accuracy is improved.


1991 ◽  
Vol 113 (1) ◽  
pp. 67-74 ◽  
Author(s):  
J. Butler ◽  
B. Haack ◽  
M. Tomizuka

A method for generating two-dimensional reference trajectories to be followed by a linear second-order system under feedforward/feedback control is proposed. A differential equation is derived which assigns tracking velocity and tangential tracking acceleration as functions of time in such a way to allow high speed motion through an arbitrary smooth curve while guaranteeing the absence of actuator saturation. A method for using preview information for motion along curves with corners is also presented. The results are verified by simulation of a two axis cartesian positioning system under discrete time zero phase error tracking control.


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