Two degree-of-freedom control design with improved LMI representation
© Peng et al.; licensee Springer 2012
Received: 22 January 2012
Accepted: 17 April 2012
Published: 27 June 2012
This paper focuses on the two degree-of-freedom (2DOF) control design problem for high-speed and precision tracking system. The requirements for tracking resolution, bandwidth are transformed to the norm minimizing problem of tracking error. A 2DOF control design approach based on an improved linear matrix inequalities (LMI) representation is proposed. The design approach offers a new LMI to obtain the feedforward controller and feedback controller in 2DOF control scheme. The results of simulation experiment demonstrates the proposed approach could obtain a better tracking performance compared with conventional 2DOF design based on bounded real lemma.
It is well known that two degree-of-freedom (2DOF) control design which combines the feedforward control and feedback control to achieve the desired tracking performance has been widely applied in trajectory tracking control system [1–7]. 2DOF control could extend the tracking bandwidth and resolution of tracking control system [1, 2]. A 2DOF control scheme with coprime factorization-based feedforward control and PD feedback control achieves fast and precise positioning for vibratory mechanism . The 2DOF control system designed by solving the minimizing problem of the norm of weighted function is utilized to enhance the tracking performance of an atomic force microscope . A reference feedforward-type 2DOF (RFF-2DOF) control system is designed for maneuverability matching and gust disturbance rejection in in-flight simulator . The adaptive robust control and zero phase error tracking technique are used in 2DOF control and implemented in servo systems of hard disk drives . The 2DOF control system combined with inversion feedforward controller and high-gain feedback controller could achieve high-precision high-speed positioning in piezoactuators .
The performance reflects resolution, bandwidth of tracking control system [8–10]. Several robust 2DOF control design approaches take account into performance specification in worst system uncertainties and solve the optimization problem to improve the tracking performance and robustness. The 2DOF-control design approach discussed in  proposes a simultaneous feedforward and feedback controller design in an optimal mixed sensitivity framework to increase the bandwidth for similar robustness and resolution over optima feedback-only designs. The robust inversion-based 2DOF control develops a systematic integration design approach which combines the robust inversion feedforward control and mixed sensitivity robust feedback control . A 2DOF control approach combined -feedback and iterative learning control is formulated in .
Linear matrix inequalities (LMI) techniques have come to be essential tools for the analysis and synthesis for control problem [14–16]. Now, many LMI design approach research for control problem of different systems have been reported, such as continuous-time linear time-invariant (LTI) systems , discrete-time linear system [17, 18], systems with time delay [19, 20], system with bounded uncertainties , and so on. However, there are few LMI design approaches for 2DOF control optimization problems, and the reported LMI design approaches for 2DOF control optimization problems are based on conventional LMI representation of BRL [22, 23], which are somewhat of conservative compared with improved LMI representations [24–26].
The contribution of this paper is presenting a 2DOF design approach based on improved LMI for high-speed and precision systems. The 2DOF control system design is formulated by an improved LMI representation, and feedforward controller and feedback controller in 2DOF scheme could be obtained by solving the LMI representation.
This paper is organized as follows. The 2DOF control system and optimization objective are presented in Section 2. In Section 3, an improved LMI synthesis for systems are introduced. The LMI representations for design of feedforward controller and feedback controller are investigated in Section 4. The simulation experiment and experiment results are described and discussed in Section 5. Finally, the conclusions are given in Section 6.
2 2DOF control system and optimization objective
3 Improve LMI representation
Throughout this paper, the improved LMI representations suitable for controller design will be utilized for design of 2DOF control. The LMI representations are presented an follows:
if there exit exist symmetric matrix , and any appropriately dimensioned matrices , , such that the above LMI holds, .
Assume is negative defined. Thus, is nonsingular. And, set . If we replace with , with . We perform a congruence transformation with on the inequality (8), we obtain the inequality (7). ?
4 2DOF control design
The optimization problem of 2DOF control (5) could be transformed to design the controller composed of feedforward controller and feedback controller which could minimize the norm of transfer function from r to in following framework .
where , , , .
The solution to the above minimizing problem could be given by the following theorems.
Proof Consider the Theorem 1, it is obviously that the controller K which could render the inequality (14) hold, if inequality (7) hold with , , , .
Now, the LMI (7) with , , and is recast to LMI (16). The symmetric matrix P in LMI (7) is positive define, thus LMI (15) must hold. This completes the proof. ?
where the scalar ?, symmetric matrices , , and appropriately dimensioned matrices , X, Y, U, , , , could minimize ? in the LMI (16) subject to LMIs (15) and (16), and N, M are deduced from .
This completes the proof. ?
5 Simulation experiment
To demonstrate the proposed design approach, 2DOF controller on a tracking system of an optical disk drive in  is designed and a simulation experiment is conducted. And the experiment results show the proposed approach improves the performance of 2DOF control system compared with 2DOF design based on BRL.
5.1 Plant model and weighting function
5.2 Controller design
The theorems presented in Section 4 are applied to design the controller K including feedforward controller and feedback controller .
However, by the 2DOF control design based on BRL , the minimum value of is 1.52 which is larger than the proposed design approach.
5.3 Simulation results
A 2DOF control design based on improved LMI representation for high-speed and precision tracking systems is proposed in this paper. An improved representation is proposed in Theorem 1. The LMIs for 2DOF control design which relies on improved LMI representation are presented in Theorems 2 and 3. The proposed approach is employed to design the feedforward controller and feedback controller design in 2DOF control system which could reduce the maximum of tracking error compared with 2DOF control design based on BRL.
The authors jointly worked on deriving the results. All authors read and approved the final manuscript.
This work was supported by the National Natural Science Foundation of China (No. 60972107).
- Howze JW, Bhattacharyya SP: Robust tracking, error feedback, and two-degree-of-freedom controllers. IEEE Trans. Autom. Control 1997, 42(7):980–983. 10.1109/9.599977MathSciNetView ArticleMATHGoogle Scholar
- Hoyle DJ, Hyde RA, Limebeer DJN:An approach to two degree of freedom design. Proceedings of the 30th IEEE Conference on Decision and Control 1991, 1581–1585.Google Scholar
- Iwasaki M, Kawafuku M, Hirai H: 2DOF control-based fast and precise positioning for vibratory mechanism with nonlinear friction. IEEE International Conference on Mechatronic 2006, 27–31.Google Scholar
- Schitter G, Stemmer A, Allgower F: Robust 2DOF-control of a piezoelectric tube scanner for high speed atomic force microscopy. 5. Proceedings of the American Control Conference 2003, 3720–3725.Google Scholar
- Ebihara Y, Fujiwara Y, Hagiwara T: 2DOF control system design for maneuverability matching and gust disturbance rejection in in-flight simulator mupal- a . Proceedings of SICE Annual Conference 2010, 524–528.Google Scholar
- Li Y, Masayoshi T: Two-degree-of-freedom control with robust feedback control for hard disk servo systems. IEEE/ASME Trans. Mechatron. 1999, 4(1):17–24. 10.1109/3516.752080View ArticleGoogle Scholar
- Leang KK, Devasia S: Feedback-linearized inverse-feedforward for creep, hysteresis, and vibration compensation in AFM piezoactuators. IEEE Trans. Control Syst. Technol. 2007, 15(5):927–935.View ArticleGoogle Scholar
- Toker O, Chen J, Qiu L: Tracking performance limitations in LTI multivariable discrete-time systems. IEEE Trans. Circuits Syst. I 2002, 49(5):657–670. 10.1109/TCSI.2002.1001955MathSciNetView ArticleGoogle Scholar
- Davison DE:A curve-shaping approach for determining bounds on performance under hard constraints. IEEE Trans. Autom. Control 2002, 47(7):1174–1178. 10.1109/TAC.2002.800667MathSciNetView ArticleGoogle Scholar
- Du C, Xie L, Teoh JN:An improved mixed control design for hard disk drives. IEEE Trans. Control Syst. Technol. 2005, 13(5):832–839.View ArticleGoogle Scholar
- Lee C, Salapak SM: Robust broadband nanopositioning: fundamental trade-offs, analysis, and design in a two-degree-of-freedom control framework. Nanotechnology 2009, 20(3):035501–1-035501–16.Google Scholar
- Wu Y, Zou QZ: Robust inversion-based 2-DOF control design for output tracking: piezoelectric-actuator example. IEEE Trans. Control Syst. Technol. 2009, 17(5):1069–1082.View ArticleGoogle Scholar
- Helfrich BE, Lee C, Bristow DA, Alleyne G, Salapaka S:Combined -feedback and iterative learning control design with application to nanopositioning systems. Proceedings of the American Control Conference 2008, 3893–3900.Google Scholar
- Zhou H, Xie L, Zhang C:A direct approach to optimal deconvolution of periodic digital channels. IEEE Trans. Signal Process. 2002, 50(7):1685–1698. 10.1109/TSP.2002.1011209View ArticleGoogle Scholar
- Chen BS, Zhang W:Stochastic control with state-dependent noise. IEEE Trans. Autom. Control 2004, 49(1):45–57. 10.1109/TAC.2003.821400View ArticleGoogle Scholar
- Apkarian P, Hoang TD, Bernussou J:Continuous-time analysis, eigen structure assignment, and synthesis with enhanced linear matrix inequalities (LMI). IEEE Trans. Autom. Control 2002, 46(12):1941–1946.View ArticleGoogle Scholar
- Boukas EK, Liu ZK:Robust stability and control of discrete-time jump linear systems with time-delays: an LMI approach. Proceedings of the 39th IEEE Conference on Decision and Control 2000, 1527–1532.Google Scholar
- Cao YY, Lam J:Stochastic stabilizability and control for discrete-time jump linear systems with time delay. J. Franklin Inst. 1999,336(8):1263–1281. 10.1016/S0016-0032(99)00035-6MathSciNetView ArticleMATHGoogle Scholar
- Boukas EK, Liu ZK:Robust control of discrete-time Markovian jump linear systems with mode-dependent time-delays. IEEE Trans. Autom. Control 2001,46(21):1918–1924.MathSciNetView ArticleMATHGoogle Scholar
- Fridman E, Shaked U:A descriptor system approach to control of linear time-delay systems. IEEE Trans. Autom. Control 2002, 47(2):253–270. 10.1109/9.983353MathSciNetView ArticleGoogle Scholar
- Geromel JC, Oliveira MCD: and robust filtering for convex bounded uncertain systems. IEEE Trans. Autom. Control 2001, 46(1):100–107. 10.1109/9.898699View ArticleMATHGoogle Scholar
- Kato T, Maeda Y, Iwasaki M: LMI-based 2-degrees-of-freedom controller design for robust vibration suppression positioning. IEEE Trans. Ind. Appl. 2011, 131(1):93–101. 10.1541/ieejias.131.93View ArticleGoogle Scholar
- Lee C, Salapaka SM: Fast robust nanopositioning - a linear-matrix-inequalities-based optimal control approach. IEEE/ASME Trans. Mechatron. 2009, 14(4):414–422.View ArticleGoogle Scholar
- Shaked U: Improved LMI representations for the analysis and the design of continuous-time systems with polytopic type uncertainty. IEEE Trans. Autom. Control 2001, 46(4):652–656. 10.1109/9.917671MathSciNetView ArticleMATHGoogle Scholar
- He Y, Wu M, She JH:Improved bounded-real-lemma representation and control of systems with polytopic uncertainties. IEEE Trans. Circuits Syst. 2005, 52(7):380–383.View ArticleGoogle Scholar
- Olalla C, Leyva R, Aroudi AE: LMI robust control design for boost PWM converters. IET Power Electron. 2010, 3(1):75–85. 10.1049/iet-pel.2008.0271View ArticleGoogle Scholar
- Lee MN, Moon JH, Jin KB:Robust control with multiple constraints for the track-following system of an optical disk drive. IEEE Trans. Ind. Electron. 1998, 45(4):638–645. 10.1109/41.704893View ArticleGoogle Scholar
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