Model Predictive Idle Speed Control: Design, Analysis, and Experimental Evaluation

Cairano, Stefano Di; Yanakiev, Diana; Bemporad, Alberto; Kolmanovsky, Ilya; Hrovat, Davor

doi:10.1109/tcst.2011.2112361

Cited by 92 publications

(80 citation statements)

References 27 publications

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“…When engine runs around a certain speed and load condition, as shown in [41][42][43][44], the complex engine model can be regarded as simple low-order linear model. The explanation and proof can be found in [44], where the identified result indicates that it is reasonable to adopt the first-order autoregressive (AR) model to represent the speed control modeling in a diesel engine when it works around a specific speed range.…”

Section: Description Of the Predictive Multimodels For Marinementioning

confidence: 99%

“…Because it captures the process gain (indicates the size and direction of the process variable response to a control move), overall time constant (describes the speed of the response), and effective dead time (states the delay before the response begins) of the process [37]. Furthermore, this kind of model can be identified easily from both simulation and experimental data, generally, from step response data [42].…”

Section: Description Of the Predictive Multimodels For Marinementioning

confidence: 99%

See 1 more Smart Citation

Multiple Model Predictive Functional Control for Marine Diesel Engine

Wang

Liu

et al. 2018

Mathematical Problems in Engineering

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A novel control scheme based on multiple model predictive functional control (MMPFC) is proposed to solve the cumbersome and time-consuming parameters tuning of the speed controller for a marine diesel engine. It combines the MMPFC with traditional PID algorithm. In each local linearization, a first-order plus time delay (FOPTD) model is adopted to be the approximate submodel. To overcome the model mismatches under the load disturbance conditions, we introduce a method to estimate the open-loop gain of the speed control model, by which the predictive multimodels are modified online. Thus, the adaptation and robustness of the proposed controller can be improved. A cycle-detailed hybrid nonlinear engine model rather than a common used mean value engine model (MVEM) is developed to evaluate the control performance. In such model, the marine engine is treated as a whole system, and the discreteness in torque generation, the working imbalance among different cylinders, and the cycle delays are considered. As a result, more reliable and practical validation can be achieved. Finally, numerical simulation of both steady and dynamic performances of the proposed controller is carried out based on the aforementioned engine model. A conventional welltuned PID with integral windup scheme is adopted to make a comparison. The results emphasize that the proposed controller is with stable and adaptive ability but without needing complex and tough parameters regulation. Moreover, it has excellent disturbance rejection ability by modifying the predictive multimodels online.

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Section: Description Of the Predictive Multimodels For Marinementioning

confidence: 99%

Section: Description Of the Predictive Multimodels For Marinementioning

confidence: 99%

Multiple Model Predictive Functional Control for Marine Diesel Engine

Wang

Liu

et al. 2018

Mathematical Problems in Engineering

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“…It is noted that both the angular speed and the position in PMSM system are two main controlled objectives and have received considerable attention [2]- [4].The problem of speed control for PMSM has received many researcher's interest. Many important results have been reported [5][6][7][8][9][10][11]. Based on a real-time estimation of the stator resistance and the load, an adaptive back stepping control method was proposed for PMSM with uncertain stator resistance and load [5].…”

Section: Introductionmentioning

confidence: 99%

“…Recently, several predictive techniques were proposed for PMSM [7][8][9].Based on disturbances observer and state feedback, a robust mix variance H ∞ controller was proposed to improve the steady-state accuracy for PMSM [10]. In [11], a sensor less speed tracking control scheme was presented for PMSM.…”

Section: Introductionmentioning

confidence: 99%

Speed Tracking Control of Permanent Magnet Synchronous Motor Based on High Gain Controller

Yang¹,

Zhu²,

Tao³

et al. 2017

dtetr

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Abstract. A high gain controller was proposed for permanent magnet synchronous motor (PMSM) system in this paper. Under certain assumptions, all of the dynamic signals in the closed loop system are bounded and the tracking error can convergence to zero. Furthermore, the convergence speed of the tracking error can make very fast if we taking big values for the controller parameters. Finally, the simulation results illustrated the effectiveness of the proposed controller.

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“…MPC employs a strategy known as the receding-horizon approach [6]. Based on the dynamic model of the system, MPC starts predicting the future control action in such a way that it minimizes a specific objective function over a prediction horizon.…”

Section: Introductionmentioning

confidence: 99%