Online algorithm for controlling a cruise system under uncertainty in design parameters and environmental conditions using Monte-Carlo simulation

Laheeb, Muhi; Khafaji, Salwan Obaid Waheed; Al-Bakri, Fawaz; Lami, Sarah K

doi:10.1109/ccwc.2018.8301633

Cited by 7 publications

(6 citation statements)

References 9 publications

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“…The statistics results are stored and the process is repeated several times with dissimilar randomly-adopted values. Recognized statistics results such as the standard deviation, and mean value were applied to dissect the algorithm results as used by [24] and [25].…”

Section: Resultsmentioning

confidence: 99%

A new analytical control strategy for a magnetic suspension system under initial position dispersions

Al-Bakri¹,

Ali²,

Salwan³

2021

FME Transactions

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A nonlinear magnetic suspension system is considered in this paper. A novel online algorithm based on analytical approach is presented to stabilize the suspended mass. The new algorithm employs a single analytical function to create the ball position and velocity profiles. The reference ball position is described by a series of time dependent exponential functions. Boundary conditions at both initial and final states are automatically satisfied. Moreover, feasible ball position and velocity profiles are ensured by evaluating one algorithm parameter (an exponential factor). The exponential factor is analytically computed by minimizing the peak of electrical power. This new algorithm is capable of generating the well-suited coil voltage that guarantees the stability of the system with a small closed-loop command. Gain Shechting method is used to obtain the closed-loop effort in order to track the analytical reference profiles. Compared to the prior magnetic suspension algorithms, the proposed analytical scheme is qualified to handle very large dispersions in initial ball position while satisfying the ball position and coil voltage constraints. Monte-Carlo simulations with change in initial ball position are presented. The simulation results demonstrated the great reliable performance of the proposed algorithm despite the wide range of initial ball position dispersions.

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Section: Resultsmentioning

confidence: 99%

A new analytical control strategy for a magnetic suspension system under initial position dispersions

Al-Bakri¹,

Ali²,

Salwan³

2021

FME Transactions

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“…e simulation results of the methods in [13,14] show a good performance in vehicle's stability. To maintain the constant time headway with respect to the front vehicle, a neuro-fuzzy controller is proposed for intelligent cruise control of semiautonomous vehicles, and this method demonstrates better performance compared with the conventional PID controller [15].…”

Section: Introductionmentioning

confidence: 88%

“…Literature [12] initiates the longitudinal stopand-go cruise control system of heavy-duty trucks, and the test results show that the method not only meets the desired dynamic response, but also enjoys good robustness. In the parameters optimization aspect, [13,14] propose different methods to select PID controller's parameters to improve the controller's performance with constant-speed control.…”

Section: Introductionmentioning

confidence: 99%

An Eco-Cruise Control for Electric Vehicles Moving on Slope Road with Constant Speed

Zhang

Liu

et al. 2021

Journal of Advanced Transportation

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The unreasonable actuation of electric vehicle’s motor drive system usually results in a lot of unwanted energy consumption on a slope road. This paper proposes an eco-cruise control (ECC) scheme based on the driving condition estimation to decrease electric vehicle’s energy consumption in the constant-speed cruise control mode. The eco-cruise control scheme is realized by reducing the unreasonable actuation of the motor drive system. The vehicle’s total mass and pitch angle are estimated in real time by using an improved base-vector-based cross iteration estimator (BVCIE). Based on the estimated results, the required torque is predicted. Combining the speed deviation between the desired speed and the real speed, and the torque deviation between the required torque and the real torque, a three-power nonlinear controller of the ECC scheme is designed. The ECC scheme is validated on a slope road with different cruise speeds on a cosimulation platform, and the results indicate that the proposed strategy enjoys a better speed maintenance ability and energy efficiency compared with the benchmarked cruise control.

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“…The Monte-Carlo simulation is a method that relies on repeated random parameters to involve uncertainties in a system dynamics and to understand the behavior of the system under these critical conditions. Common statistics results such as the standard deviation, d S , and mean value,  , were used to analyze the algorithm results [16] and [17].…”

Section: Monte-carlo Simulation Methodsmentioning

confidence: 99%

A Novel Analytical Control of a Single Rotary Inverted Pendulum Under Initial Angular Dispersions

2021

IJOMAM

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A nonlinear single rotary inverted pendulum is considered in this paper. A novel online algorithm, that is used to stabilize the rotary pendulum targeting the desired profiles based on analytical solutions, is presented. The new algorithm employs a single analytical function to create the pendulum angle and the velocity profiles. The reference pendulum angle is described by a series of time dependent exponential functions. Boundary conditions at the rest and the steady-state upright conditions are automatically satisfied. Moreover, target pendulum angle at the steady-state upright condition is ensured by evaluating one algorithm parameter (the quarter-way pendulum angle) for the reference pendulum angle and velocity functions. The quarter-way pendulum angle is numerically computed by integrating a simple link angular displacement differential equation. This new algorithm is capable of generating the well-suited torque that guarantees the stability of the system without utilizing any linear or nonlinear control methods. Furthermore, unlike the existing pendulum algorithms, the analytical scheme proposed in this work is able to successfully handle very large dispersions in initial pendulum angle while satisfying the desired states. Numerical simulations with random off-nominal conditions (with change in initial pendulum angle) are presented. The results demonstrated that the proposed algorithm is effective in performing the system stabilization with great performance characteristics.

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Online algorithm for controlling a cruise system under uncertainty in design parameters and environmental conditions using Monte-Carlo simulation

Cited by 7 publications

References 9 publications

A new analytical control strategy for a magnetic suspension system under initial position dispersions

A new analytical control strategy for a magnetic suspension system under initial position dispersions

An Eco-Cruise Control for Electric Vehicles Moving on Slope Road with Constant Speed

A Novel Analytical Control of a Single Rotary Inverted Pendulum Under Initial Angular Dispersions

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