New robust adaptive control algorithm for high-performance AC drives

This paper presents a new robust structure for a model reference adaptive control (MRAC) controller for field-oriented-controlled (FOC) drives which requires no prior knowledge of the drive parameters and is guaranteed to provide global asymptotic stability of the closed-loop system. This structure simplifies the design and implementation of the adaptive controller requiring less effort to synthesis than a standard MRAC system. Discussion on theoretical aspects, such as selection of a reference model, stability analysis proof, gain adaptive process, steady-state error elimination, and robustness to unmodeled dynamics are included. The paper describes many practical aspects of the implementation, such as adaptive gain analysis, adaptive rate selection, the gain variation limits, gain windup prevention measure, and initial values. The new robust adaptive controller has been successfully implemented on an FOC drive and experiment results for dynamic tracking, sudden loading and unloading, and gains adaptation under different operation conditions are presented to support the robustness of the proposed controller.

[1]  R. D. Lorenz,et al.  Saturation effects in field-oriented induction machines , 1990 .

[2]  Angelo Raciti,et al.  A robust adaptive controller for PM motor drives in robotic applications , 1995 .

[3]  G.C.D. Sousa,et al.  Fuzzy logic based on-line MRAC tuning of slip gain for an indirect vector-controlled induction motor drive , 1993, Proceedings of IECON '93 - 19th Annual Conference of IEEE Industrial Electronics.

[4]  Faa-Jeng Lin,et al.  Reference model selection and adaptive control for induction motor drives , 1993 .

[5]  T.M. Rowan,et al.  A simple on-line adaptation for indirect field orientation of an induction machine , 1989, Conference Record of the IEEE Industry Applications Society Annual Meeting,.

[6]  Michael Athans,et al.  Robustness of continuous-time adaptive control algorithms in the presence of unmodeled dynamics , 1985 .

[7]  George W. Irwin,et al.  Direct neural model reference adaptive control , 1995 .

[8]  Faa-Jeng Lin,et al.  A discrete adaptive field-oriented induction motor drive , 1992 .

[9]  R.D. Lorenz,et al.  A simplified approach to continuous, online tuning of field oriented induction machine drives , 1988, Conference Record of the 1988 IEEE Industry Applications Society Annual Meeting.

[10]  David P Stoten,et al.  Novel robust adaptive control for high performance field oriented control drives , 1996, IAS '96. Conference Record of the 1996 IEEE Industry Applications Conference Thirty-First IAS Annual Meeting.

[11]  D. P. Stoten,et al.  Robustness of a minimal controller synthesis algorithm , 1990 .

[12]  K. J. Olejniczak,et al.  Model reference adaptive control-implementation considerations on an integer-based DSP , 1995, IAS '95. Conference Record of the 1995 IEEE Industry Applications Conference Thirtieth IAS Annual Meeting.

[13]  D. P. Stoten,et al.  Empirical studies of an MRAC algorithm with minimal controller synthesis , 1990 .

[14]  H. Kaufman,et al.  Implicit Adaptive Control for a Class of MIMO Systems , 1982, IEEE Transactions on Aerospace and Electronic Systems.

[15]  David P Stoten,et al.  Comparative Implementation Studies of the Minimal Control Synthesis Algorithm on a Class 1 Manipulator , 1991 .

[16]  Susumu Tadakuma,et al.  Microprocessor-Based Adjustable-Speed DC Motor Drives Using Model Reference Adaptive Control , 1987, IEEE Transactions on Industry Applications.

[17]  Y. D. Landau,et al.  Adaptive control: The model reference approach , 1979, IEEE Transactions on Systems, Man, and Cybernetics.

[18]  Tong Heng Lee,et al.  A methodology for neural network training for control of drives with nonlinearities , 1993, IEEE Trans. Ind. Electron..

[19]  Donald W. Novotny,et al.  The Influence of Motor Parameter Deviations in Feedforward Field Orientation Drive Systems , 1985, IEEE Transactions on Industry Applications.

[20]  Stephen P. Boyd,et al.  Necessary and sufficient conditions for parameter convergence in adaptive control , 1986, Autom..