Abstract:This paper proposes a high-performance robust tracking control system for next-generation optical disc system. The proposed tracking control system consists of robust feedback control system and perfect tracking control system based on error-prediction. The proposed robust feedback control system has a good performance of sudden disturbance suppression for improving a free parameter. Moreover, the periodic-disturbance suppression performance of error-prediction feedforward control system is improved by using z… Show more
“…5, the proposed error estimation method can be used to obtain the two sampling future values of tracking error e fb t ðk þ 2Þ of the feedback control system without the feed-forward controller. 14,15) Moreover, the feed-forward control loop has the low-pass filter in front of feed-forward controller G ff ðzÞ. The phase delay characteristics are determined by this low-pass filter.…”
Section: Error Prediction Zero Phase Error Tracking Control Systemmentioning
Recently, the memory capacity of media for the optical disk recording system has been increasing. The disk rotation speed has been increasing depending on the large memory capacity. However, the optical disk recording system has both periodic primary disturbance and periodic harmonics disturbance. Hence, the tracking control of the optical disk recording system is requested to maintain a high-precision tracking performance. We have proposed the robust tracking controller and zero-phase error tracking feed-forward control systems. Results of our study show that the primary disturbance is well suppressed by our conventional method, but it is difficult for our conventional method to suppress the harmonics disturbance. To overcome this problem, in this paper, we propose a new error prediction robust tracking control system suppressing harmonic disturbance. The experimental results show that the proposed tracking control system has a precise tracking response against both periodic primary disturbance and periodic harmonics disturbance.
“…5, the proposed error estimation method can be used to obtain the two sampling future values of tracking error e fb t ðk þ 2Þ of the feedback control system without the feed-forward controller. 14,15) Moreover, the feed-forward control loop has the low-pass filter in front of feed-forward controller G ff ðzÞ. The phase delay characteristics are determined by this low-pass filter.…”
Section: Error Prediction Zero Phase Error Tracking Control Systemmentioning
Recently, the memory capacity of media for the optical disk recording system has been increasing. The disk rotation speed has been increasing depending on the large memory capacity. However, the optical disk recording system has both periodic primary disturbance and periodic harmonics disturbance. Hence, the tracking control of the optical disk recording system is requested to maintain a high-precision tracking performance. We have proposed the robust tracking controller and zero-phase error tracking feed-forward control systems. Results of our study show that the primary disturbance is well suppressed by our conventional method, but it is difficult for our conventional method to suppress the harmonics disturbance. To overcome this problem, in this paper, we propose a new error prediction robust tracking control system suppressing harmonic disturbance. The experimental results show that the proposed tracking control system has a precise tracking response against both periodic primary disturbance and periodic harmonics disturbance.
“…Tracking control is widely encountered in many applications, such as tracking control of optical disc systems [1], dynamical positioning of ocean surface vessels [2], and real-time navigation of mobile robots [3]. Generally, to achieve the tracking-control purpose of a system, a controller of the input u(t) for the system is designed so that the output y(t) can track the desired path y d (t) with an acceptable tracking error.…”
Section: Introductionmentioning
confidence: 99%
“…Generally, to achieve the tracking-control purpose of a system, a controller of the input u(t) for the system is designed so that the output y(t) can track the desired path y d (t) with an acceptable tracking error. Thus, how to design such an effective controller has been a heated topic [1][2][3]. Zhang dynamics (ZD) and gradient dynamics (GD) are two different types of powerful methods for online problems solving [4][5][6].…”
Zhang dynamics (ZD), which is based on an indefinite error-monitoring function called Zhangian, is a powerful type of dynamics for online time-varying problems solving. Besides, gradient dynamics (GD), which was originally designed to solve constant problems, can be generalized for online time-varying problems solving. In this paper, the tracking-control problem of a general nonlinear system with fully trackable and partially trackable paths is presented and investigated. Then, by combining ZD and the generalized GD, an innovative method called ZD-GD method is proposed to solve this tracking-control problem. Simulation results on the nonlinear system further substantiate the feasibility and superiority of the combined ZD-GD method for both fully trackable and partially trackable paths.
“…The tracking control problem commonly arises in many applications [1][2][3][4][5], e.g., the tracking control of optical disc systems [6], real-time navigation of mobile robots [7], and others [8,9]. In this chapter [10], the ZG method is used to design ZG controllers to solve the tracking control problem of double-integrator (DI) system.…”
In this chapter, the ZG controllers for explicit and implicit tracking control of a double-integrator (DI) system are designed and presented. In addition, we conduct the corresponding computer simulations with different values of the design parameter λ used to illustrate the efficacy of ZG controllers. However, although the ZG controllers are powerful, there is still a challenge in the simulation practice. Specifically, different settings of simulation options in MATLAB ordinary differential equation (ODE) solvers may lead to different simulation results (e.g., failure and success). For better comparison, the successful and failed simulation results are both presented. The differences in simulation results remind us to pay more attention to MATLAB defaults and options during conducting such simulations.
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