This paper presents a model predictive control based optimal feedforward tracking integrated with a robust repetitive feedback control aimed for generating complex engine piston profiles in non-circular engine piston turning using dual-stage long stroke linear motor/high bandwidth piezoelectric actuators. By formulating and solving receding horizon optimization, which explicitly takes into account practical constraints and specific dynamic capabilities of the dual-stage actuators integrated with repetitive feedback control, the methodology is demonstrated in simulation to precisely track fast oscillating but non-periodic reference signals derived from an industrial engine piston profile. In comparison, linear repetitive feedback control alone would violate dual-stage actuator constraints and as a result generate tracking errors 50 times larger than the proposed approach.
- Dynamic Systems and Control Division
Feedforward Model Predictive Control for Dual-Stage Fast Tool Servo With Realistic Constraints
Chang, Y, & Tsao, T. "Feedforward Model Predictive Control for Dual-Stage Fast Tool Servo With Realistic Constraints." Proceedings of the ASME 2012 5th Annual Dynamic Systems and Control Conference joint with the JSME 2012 11th Motion and Vibration Conference. Volume 2: Legged Locomotion; Mechatronic Systems; Mechatronics; Mechatronics for Aquatic Environments; MEMS Control; Model Predictive Control; Modeling and Model-Based Control of Advanced IC Engines; Modeling and Simulation; Multi-Agent and Cooperative Systems; Musculoskeletal Dynamic Systems; Nano Systems; Nonlinear Systems; Nonlinear Systems and Control; Optimal Control; Pattern Recognition and Intelligent Systems; Power and Renewable Energy Systems; Powertrain Systems. Fort Lauderdale, Florida, USA. October 17–19, 2012. pp. 293-301. ASME. https://doi.org/10.1115/DSCC2012-MOVIC2012-8822
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