Horizon-1 Predictive Control of Automotive Electromagnetic Actuators
Electromagnetically driven mechanical systems are characterized by fast nonlinear dynamics that are subject to physical and performance constraints, which makes controller design a challenging problem. Although model predictive control (MPC) is well suited for dealing with constraints, the fast dyna...
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| Veröffentlicht in: | IEEE transactions on control systems technology 2013-09, Vol.21 (5), p.1652-1665 |
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| container_title | IEEE transactions on control systems technology |
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| creator | Hermans, Ralph M. Lazar, Mircea Kolmanovsky, Ilya V. Di Cairano, Stefano |
| description | Electromagnetically driven mechanical systems are characterized by fast nonlinear dynamics that are subject to physical and performance constraints, which makes controller design a challenging problem. Although model predictive control (MPC) is well suited for dealing with constraints, the fast dynamics of electromagnetic (EM) actuators render most standard MPC approaches impractical. This paper proposes a horizon-1 MPC strategy that can handle both the state/input constraints and the computational complexity limitations associated with EM actuator applications. A flexible Lyapunov function is employed to obtain a nonconservative stability guarantee for the horizon-1 MPC scheme. Moreover, an invariant region of attraction is provided for the closed-loop MPC system. The simulation results obtained on a validated model of an EM engine valve actuator show that performance is improved with respect to previous strategies, and that the proposed algorithm can run within a sampling period in the order of a millisecond. |
| doi_str_mv | 10.1109/TCST.2012.2210223 |
| format | Article |
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Although model predictive control (MPC) is well suited for dealing with constraints, the fast dynamics of electromagnetic (EM) actuators render most standard MPC approaches impractical. This paper proposes a horizon-1 MPC strategy that can handle both the state/input constraints and the computational complexity limitations associated with EM actuator applications. A flexible Lyapunov function is employed to obtain a nonconservative stability guarantee for the horizon-1 MPC scheme. Moreover, an invariant region of attraction is provided for the closed-loop MPC system. 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Although model predictive control (MPC) is well suited for dealing with constraints, the fast dynamics of electromagnetic (EM) actuators render most standard MPC approaches impractical. This paper proposes a horizon-1 MPC strategy that can handle both the state/input constraints and the computational complexity limitations associated with EM actuator applications. A flexible Lyapunov function is employed to obtain a nonconservative stability guarantee for the horizon-1 MPC scheme. Moreover, an invariant region of attraction is provided for the closed-loop MPC system. The simulation results obtained on a validated model of an EM engine valve actuator show that performance is improved with respect to previous strategies, and that the proposed algorithm can run within a sampling period in the order of a millisecond.</description><subject>Actuators</subject><subject>Algorithms</subject><subject>Coils</subject><subject>Control systems</subject><subject>Dynamical systems</subject><subject>Electromagnetic (EM) actuators</subject><subject>Invariants</subject><subject>Lyapunov methods</subject><subject>Magnetic materials</subject><subject>Magnetomechanical effects</subject><subject>mechatronics</subject><subject>Nonlinear dynamics</subject><subject>Photonic crystals</subject><subject>Predictive control</subject><subject>Strategy</subject><subject>Studies</subject><issn>1063-6536</issn><issn>1558-0865</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkE1Lw0AQhhdRsFZ_gHgJePGSujP7kc2x1GqFgoL1vCSbjaQk2bq7EfTXm1rx4GmGl-cdhoeQS6AzAJrfbhYvmxlSwBkiUER2RCYghEqpkuJ43KlkqRRMnpKzELaUAheYTcjdyvnmy_UpJM_eVo2JzYdNFq6P3rWJq5P5EF3nftJla80Yd8Vbb2NjkrmJQxGdD-fkpC7aYC9-55S83i83i1W6fnp4XMzXqWEoY1oCM5Upy9wYULLmWPEajbJM5WXNKiiVyE3GgGa15IbTDCtVcorUqkqWFWdTcnO4u_PufbAh6q4JxrZt0Vs3BA2c5ZkABDmi1__QrRt8P343Uig45zmqkYIDZbwLwdta73zTFf5TA9V7r3rvVe-96l-vY-fq0GmstX-8RJUJKdk3mE1zXA</recordid><startdate>201309</startdate><enddate>201309</enddate><creator>Hermans, Ralph M.</creator><creator>Lazar, Mircea</creator><creator>Kolmanovsky, Ilya V.</creator><creator>Di Cairano, Stefano</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| source | IEEE Electronic Library (IEL) |
| subjects | Actuators Algorithms Coils Control systems Dynamical systems Electromagnetic (EM) actuators Invariants Lyapunov methods Magnetic materials Magnetomechanical effects mechatronics Nonlinear dynamics Photonic crystals Predictive control Strategy Studies |
| title | Horizon-1 Predictive Control of Automotive Electromagnetic Actuators |
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