Simultaneous feedforward online command rate limiter filters for existing controllers
Simultaneous feedforward online command rate limiter filters for existing controllers
One of the biggest challenges in controller design for a mechatronics system is the actuator limitations. Either response time of the actuator or the input constraints creates limits for the controller performance and stability. In this study a novel feedforward online rate limiter scheme for arbitrary input signals is introduced by taking velocity, acceleration and jerk constraints into account, and it is investigated that how the control effort and system response is affected by the demand signal’s rate of change limitations. A fin actuation system for a guided missile is given as an example where the demand signal comes from the guidance system online. Different online rate limiting schemes are reviewed, and simulations are carried out for comparison. Proposed method is shown to be effective via simulation and confirmed by experimental results for the existing controller.
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- [1] Tombul GS. Real time control of a fin loading system. In: IEEE 2016 17th International Carpathian Control Conference (ICCC); Tatransca Lomnicia, Slovakia; 2016. pp. 747-752.
- [2] Ryvkin SE, Lever EP. Sliding Mode Control for Synchronous Electric Drives. London, UK: CRC Press, 2011.
- [3] Tan K, Zhao S, Huang S. Iterative reference adjustment for high-precision and repetitive motion control applications. IEEE Transactions on Control Systems Technology 2005; 13 (1): 85-97. doi: 10.1109/TCST.2004.838549
- [4] Fnadi M, Du W, Plumet F, Benamar F. Constrained model predictive control for dynamic path tracking of a bi-steerable rover on slippery grounds. Control Engineering Practice 2021; 107 (1): 104693. doi: 10.1016/j.conengprac.2020.104693
- [5] Giovanini LL. Model predictive control with amplitude and rate actuator saturation. ISA Transactions 2003; 42 (2): 227-240. doi: 10.1016/s0019-0578(07)60128-1
- [6] Eldigair Y, Garelli F, Kunusch C, Ocampo-Martinez C. Adaptive PI control with robust variable structure antiwindup strategy for systems with rate-limited actuators: Application to compression systems. Control Engineering Practice 2020; 96 (1): 104282. doi: 10.1016/j.conengprac.2019.104282
- [7] De Doná JA, Goodwin GC, Seron MM. Anti-windup and model predictive control: Reflections and connections. European Journal of Control 2000; 6 (5): 467-477. doi: 10.1016/S0947-3580(00)71108-3
- [8] Septanto H, Syaichu-Rohman A, Mahayana D. Static anti-windup compensator design of linear sliding mode control for input saturated systems. In: ICEEI 2011 International Conference on Electrical Engineering and Informatics; Bandung, Indonesia; 2011. pp. 1-4.
- [9] Albertoni L, Balluchi A, Casavola A, Gambelli C, Mosca E et.al. Hybrid command governors for idle speed control in gasoline direct injection engines. In: ACC2003 American Control Conference; Denver, CO, USA; 2003. pp. 773-778.
- [10] Bemporad A. Reference governor for constrained nonlinear systems. IEEE Transactions on Automatic Control, 1998; 43 (3): 415-419. doi: 10.1109/9.661611
- [11] Casavola A, Mosca E, Papini M. Control under constraints: an application of the command governor approach to an inverted pendulum. IEEE Transactions on Control Systems Technology, 2004; 12 (1): 193-204. doi: 10.1109/TCST.2003.821953
- [12] O’Rourke I, Kolmanovsky I, Garone E, Girard A. Scalar reference governor for constrained maneuver and shape control of nonlinear multibody aircraft. In: 11th IFAC Symposium on Nonlinear Control Systems NOLCOS; Vienna, Austria; 2019. pp. 193-204.
- [13] Liu Y, Ossareh HR. Preview reference governors: A constraint management technique for systems with preview information. Systems & Control Letters 2021; 152 (1): 104392. doi: 10.1016/j.sysconle.2021.104932
- [14] Garone E, Di Cairano S, Kolmanovsky I. Reference and command governors for systems with constraints: A survey on theory and applications. Automatica 2017; 75 (1): 306-328. doi: 10.1016/j.automatica.2016.08.013
- [15] Chen G, Hayashi H, Takami I. Time-optimal trajectory generator under jerk constraints. In: 17th IFAC World Congress; Seoul, Korea; 2008. pp. 6033-6038.
- [16] Nakabayashi Y, Okajima H, Matsunaga N. Signal limitation filter to satisfy velocity and acceleration constraints for arbitrary input signals. In: 56th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE); Kanazawa; 2017. pp. 1197-1201.