Real-time comparison of a number of predictive controllers

Abu-Ayyad, Ma’moun; Dubay, Rickey

doi:10.1016/j.isatra.2007.02.005

Cited by 35 publications

(16 citation statements)

References 16 publications

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“…Trajectories of reference parameters (the displacement rh(t) = yref(t) and load pressure rp(t) = pref(t),) are shown on the computer panel ( Figure 13), which shows the three phases of the operating process taken into account in the control of the hydraulic forging press. The global predictive control (GPC) algorithm uses the object model in the form of a discrete CARIMA (Controlled Auto-Regressive Integrated Moving-Average) [22], which can be quite easily used in the forging process. The CARIMA model is the standard form used for predictive controller design, because it is used to obtain good output predictions and optimize the sequence of future control signals to minimize the multistage function defined over the prediction horizon [23].…”

Section: Energy-saving Control Of the Hydraulic Forging Pressmentioning

confidence: 99%

Energy-Saving Hot Open Die Forging Process of Heavy Steel Forgings on an Industrial Hydraulic Forging Press

Dindorf

Woś

2020

Energies

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The study deals with the energy-saving process of hot open die elongation forging of heavy steel forgings on an 80 MN industrial hydraulic forging press. Three innovative energy-saving power supply solutions useful for industrial hydraulic forging presses were analyzsed. The energy-saving power supply of hydraulic forging presses consists in reducing electricity consumption by the electric motor driving the pumps, reducing the noise emitted by pumps and reducing leaks in hydraulic piston cylinders. The predicted forging force as a function of heavy steel forging heights for various deformation temperatures and strain rates was determined. A simulation model of the 80 MN hydraulic forging press is presented, which is useful for determining the time-varying parameters during the forging process. An energy-saving control for the hydraulic forging press based on the forging process parameters’ prediction has been developed. Real-time model predictive control (MPC) was developed based on multiple inputs multiple outputs (MIMO), and global predictive control (GPC). The GPC has been implemented in the control system of an 80 MN industrial hydraulic forging press. The main advantage of this control system is the repeatability of the forging process and minimization of the size deviation of heavy large steel forgings

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Section: Energy-saving Control Of the Hydraulic Forging Pressmentioning

confidence: 99%

Energy-Saving Hot Open Die Forging Process of Heavy Steel Forgings on an Industrial Hydraulic Forging Press

Dindorf

Woś

2020

Energies

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“…In an additional note, the ratio between q and r parameter will determine the system performances. A detailed explanation about MPC design for this pan-tilt camera platform is available on [24] while the design process is based on [25,26]. Table 1.…”

Section: B Model Predictive Controlmentioning

confidence: 99%

State Machine Implementation for Human Object Tracking using Combination of MobileNet, KCF Tracker, and HOG Features

Kinasih¹,

Saragih²,

Machbub³

et al. 2019

ijeei

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Since the Viola and Jones' method on real-time face detection was proposed in 2001, numerous works for object detection, person recognition, and object tracking have been published by papers and journals. Each method has its strong points and drawbacks. That means that in a system which only employs a standalone method, we could only get either speed or accuracy. In this paper, we proposed a state-machine method to combine face recognition, face detection, and tracker to harness the tracker promptness while maintaining the ability to distinguish the person of interest with the other person and backgrounds, to overcome the limitations of the standalone method. Subsequently, the information gathered from this image processing side will be delivered to the hardware tracker. The image processing side becomes a visual sensor that provides feedback or measurement value i.e. center point coordinate value from the detected face. The 2 DOF hardware tracker camera platform being used implements Model Predictive Control to calculate required control action thus the platform is able to track the target object, keeping it at the center of the frame. MPC method is chosen because it produces an optimal control signal while considering the input signal saturation aspect. The MPC control signals deliver a good control pan and tilt system response with rise time < 1 second and overshoot <15%. It is also noticed that the FSM implemented in this paper is able to meet the goal with a considerable performance for indoor settings.

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“…Several researchers have proposed to set the value of (M=1) [1], [15], [19]. Rossiter [20] stated (M 3), Abu-Ayyad [21], [22] stated 5 10. In this paper comparison will be presented with previous study by Cooper provided analytical formula for M as follows.…”

Section: Tuning Strategymentioning

confidence: 99%

Modified Predictive Control for a Class of Electro-Hydraulic Actuator

Emhemed¹,

Mamat²,

Faudzi³

et al. 2016

IJECE

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Many model predictive control (MPC) algorithms have been proposed in the literature depending on the conditionality of the system matrix and the tuning control parameters. A modified predictive control method is proposed in this paper. The modified predictive method is based on the control matrix formulation combined with optimized move suppression coefficient. Poor dynamics and high nonlinearities are parts of the difficulties in the control of the Electro-Hydraulic Actuator (EHA) functions, which make the proposed matrix an attractive solution. The developed controller is designed based on simulation model of a position control EHA to reduce the overshoot of the system and to achieve better and smoother tracking. The performance of the designed controller achieved quick response and accurate behavior of the tracking compared to the previous study.

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Real-time comparison of a number of predictive controllers

Cited by 35 publications

References 16 publications

Energy-Saving Hot Open Die Forging Process of Heavy Steel Forgings on an Industrial Hydraulic Forging Press

Energy-Saving Hot Open Die Forging Process of Heavy Steel Forgings on an Industrial Hydraulic Forging Press

State Machine Implementation for Human Object Tracking using Combination of MobileNet, KCF Tracker, and HOG Features

Modified Predictive Control for a Class of Electro-Hydraulic Actuator

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