Dual motor drive vehicle speed synchronization and coordination control strategy

Huang, Hao; Tu, Qunzhang; Jiang, Chenming; Ma, Limin; Li, Pei; Zhang, Hongxing

doi:10.1063/1.5033669

Cited by 8 publications

(16 citation statements)

References 7 publications

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“…Since PMSM is a second-order single-input singleoutput nonlinear control system, according to equation (15), the system state variable of the speed tracking controller C r,i can be set as…”

Section: A General Methods For Gftsmc Designmentioning

confidence: 99%

“…When the master motor speed changes, the speed of the slave motor changes accordingly. But when the speed of one slave motor changes, the signal cannot be fed back to other motors, which causes the speed to be out of sync [15]. In the crosscoupling control strategy, the speed difference between the two motors is used as the compensation signal and fed back to the motor controller [16].…”

Section: Introductionmentioning

confidence: 99%

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Mean Deviation Coupling Control for Multimotor System via Global Fast Terminal Sliding Mode Control

Zhu

Jiang

et al. 2021

Advances in Mathematical Physics

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In view of the shortcomings of the existing multimotor synchronous control strategy, a new method of mean deviation coupling control for multimotor system via global fast terminal sliding mode control is proposed. Firstly, the mathematical model of permanent magnet synchronous motor (PMSM) under a d - q reference frame is established. Next, based on the deviation coupling control, the deviation is calculated by the average speed, and the structure of the deviation coupling control strategy is optimized. The speed controller of the multimotor system is designed based on the global fast terminal sliding mode control (GFTSMC) algorithm to improve the synchronization accuracy of the system. In addition, a load torque Luenberger observer is designed to observe the load in real time. Then, the stability analysis of the controller is carried out by using the Lyapunov function. Finally, a four-motor experimental platform is built to verify the effectiveness of the proposed control strategy.

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“…Since PMSM is a second-order single-input singleoutput nonlinear control system, according to equation (15), the system state variable of the speed tracking controller C r,i can be set as…”

Section: A General Methods For Gftsmc Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mean Deviation Coupling Control for Multimotor System via Global Fast Terminal Sliding Mode Control

Zhu

Jiang

et al. 2021

Advances in Mathematical Physics

Self Cite

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“…The cross-coupling technique, as introduced by Koren (1980) and Tomizuka et al (1992), which is mainly used to solve the problem of nonsynchronization of multi-motor caused by the influence of external factors and it provides advantages to improve synchronization performance for the movement along the axes [25] .…”

Section: Cross-coupling Techniquementioning

confidence: 99%

“…The idea of this controller is to return an actual position from the first motor P1 and from the second motor P2 and then calculate the synchronization error from the following equation [25] . If the synchronization error Ԑp = 0 the synchronization goal is achieved and this was observed in the results seen Figure 15.…”

Section: Cross-coupling Techniquementioning

confidence: 99%

Position - Velocity Control for Two PMDC Motors Connected by a Cross-Coupling Technique with Butterflies Optimization Algorithm

Abdulhussein

Yasin

Hasan

2021

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In this paper, two contributions are presented. the first is to design two cascade controllers to control the velocity and position for two Permanent Magnet DC motors (PMDC) working together at the same time for use in many applications such as CNC machines, robotics, and others. Furthermore, the cross-coupling technique is used to connect these motors and adjust the precise synchronization of their movement on the axes. The second contribution is the use of the butterfly’s optimization algorithm (BOA) with the objective function Integral Time Absolute Error (ITAE) to extract the optimal parameter values for the two cascade controllers and the synchronization controller in order to obtain the best accurate results. The simulation results showed high accuracy to reach the desired position at a regular velocity of both the PMDC motors with accurate synchronization and tracking trajectory on the axes. In addition, a very small position deviation of 0.021 rad was observed, and the system returned to a steady-state after 2 seconds of applying the full load.

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“…Multi-motor drives are an optimal solution for high-inertia and high-power drives, such as belt conveyors [1], as well as for long continuous lines [2]. In recent years, multi-motor drives have been increasingly implemented in electric vehicles [3] and robot manipulators [4]. Depending on drive application, control objectives are defined.…”

Section: Introductionmentioning

confidence: 99%

A Survey of Fuzzy Algorithms Used in Multi-Motor Systems Control

et al. 2020

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Multi-motor systems are strong coupled multiple-input–multiple-output systems. The main objective in multi-motor drive control is to achieve synchronized operation of all motors in the system. In this paper, multi-motor systems are classified in accordance with their control demands. This paper also provides a systematic categorization of multi-motor synchronization techniques. The review of recent research literature indicates that fuzzy algorithms are widely used in multi-motor control. Finally, in this paper, a review of fuzzy logic controllers and their functionalities in multi-motor control is given.

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Dual motor drive vehicle speed synchronization and coordination control strategy

Cited by 8 publications

References 7 publications

Mean Deviation Coupling Control for Multimotor System via Global Fast Terminal Sliding Mode Control

Mean Deviation Coupling Control for Multimotor System via Global Fast Terminal Sliding Mode Control

Position - Velocity Control for Two PMDC Motors Connected by a Cross-Coupling Technique with Butterflies Optimization Algorithm

A Survey of Fuzzy Algorithms Used in Multi-Motor Systems Control

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