Robust speed tracking of permanent magnet synchronous motor servo systems by equivalent disturbance attenuation

Yang, Shuaishuai; Zhong, Yisheng

doi:10.1049/iet-cta:20060165

Cited by 22 publications

(8 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is well known that this system exhibits chaotic behav- ior for a = 6, b = 2.92 and c = 1.2. For the unforced system (28), known as the drive system, the response system is defined as The control input applied to Genesio-Tesi chaotic system jective is to design an appropriate control signal u(t) such that the states of the response system (29) track the trajectories produced by those of the drive system (28), i.e., lim t→∞…”

Section: Application To Genesio-tesi Chaotic Systemmentioning

confidence: 99%

“…In the past years, considerable research efforts have been devoted to tackle this problem. Developing tracking controllers for servo systems [6,28], magnetic levitation [29], some classes of chaotic systems [5,15], cart pendulum system [17,23], optical disk drives [14] and a class of underactuated mechanical systems [11] are samples of tremendous efforts devoted to practical control problems. The assumptions made on the system uncertainties motivate researchers to propose various tracking control methodologies.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Robust adaptive nonlinear control for uncertain control-affine systems and its applications

2008

View full text Add to dashboard Cite

This paper addresses the robust tracking control problem for a class of uncertain nonlinear systems with time-varying parameters, perturbed by external disturbances. The unknown time-varying parameters and disturbances are neither required to be periodic nor to have known bounds. Depending on the characteristics of disturbance signals, two adaptivebased control algorithms are developed. First, an adaptive H ∞ control is designed that achieves: (i) an H ∞ tracking performance when the external disturbances are L 2 signals, and (ii) the convergence of tracking error to zero if the disturbances are bounded and L 2 signals. Then a novel adaptive control algorithm is proposed, only with the assumption of boundedness of disturbances, to drive the tracking error to zero. The designed tracking controllers are then used for controlling a cart-pendulum system, as an underactuated mechanical system, and chaos synchronization of uncertain Genesio-Tesi chaotic system. Numerical simulations are also given to demonstrate the effectiveness of the proposed control schemes.

show abstract

Section: Application To Genesio-tesi Chaotic Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Robust adaptive nonlinear control for uncertain control-affine systems and its applications

2008

View full text Add to dashboard Cite

show abstract

“…Karabacak and Eskikurt (2011) designed a non-linear and adaptive backstepping control to regulate the speed and current of a permanent-magnet synchronous motor. Yang and Zhong (2007) presented equivalent disturbance attenuation for robust speed tracking of permanent magnet synchronous motor servo systems. All these control methods need a relative accurate mathematical model.…”

Section: Introductionmentioning

confidence: 99%

A KCMAC-PD controller with reduced memory and optimized mapping for the torque control of electric load simulator

Yang

Bao

Zhang

et al. 2017

Transactions of the Institute of Measurement and Control

View full text Add to dashboard Cite

An electric load simulator requires high demand on control precision and dynamic performance due to its inherent non-linearity and external interference of surplus torque. The cerebellar model articulation controller (CMAC) is a simple, fast and promising neural network with good performance. However, there still exist some problems in the CMAC network, such as large memory, over-learning and complex mapping. This paper introduces the kernel method in CMAC to form KCMAC, by using a third-order B-spline as a kernel function, so that the mapping of CMAC is transferred from the feature space to the kernel space. This method may effectively reduce the storage space as well as the computational complexity. A compound controller with KCMAC and PD (proportional–derivative) is designed with improvement on learning speed for the torque control of an electric load simulator. Compared with the conventional CMAC-PD control strategy, the KCMAC-PD has improved the control precision by 40.4%, 40.8%, 14.1% and 30.5% at a loading frequency of 0.5 Hz, 1 Hz, 1.5 Hz and 2 Hz in the experiments, respectively. The dynamic simulation and experimental results of KCMAC-PD show that this control strategy may ensure loading precision and avoid over-learning of CMAC. They also demonstrate that KCMAC has ability to smooth control output and restrain external disturbances.

show abstract

“…First one is the surface PMSM(SPMSM) and the other is interior PMSM(IPMSM). As the d-axis current is controlled zero, the SPMSM system can be considered as DC motors which is linear [1] - [6]. Different from the SPMSM, in the case of IPMSM, d-axis current must be controlled as non-zero for the maximum torque per ampere (MTP A) which optimizes the drive efficiency, and this makes the control very difficult because of the nonlinearity in the IPMSM, requiring nonlinear control techniques [7]- [13].…”

Section: Introductionmentioning

confidence: 99%

T-S fuzzy control of IPMSM using backstepping integral sliding mode

Park

Yoon

Kwak

et al. 2015

2015 15th International Conference on Control, Automation and Systems (ICCAS)

View full text Add to dashboard Cite

This paper aims to design a robust controller for the Interior Permanent Magnet Synchronous Motor (IPMSM) based on the Takagi-Sugeno (T-S) fuzzy modeling, the sliding mode control(SMC) and the back-stepping control. The introduction of T-S fuzzy model is for the clearer description of nonlinear uncertainties and reduces computational burden, and the back-stepping technique for the considering of the load disturbance under the inevitable matching condition in the SMC. The Integral SMC is used for the problem of reaching phase.

show abstract

Robust speed tracking of permanent magnet synchronous motor servo systems by equivalent disturbance attenuation

Cited by 22 publications

References 18 publications

Robust adaptive nonlinear control for uncertain control-affine systems and its applications

Robust adaptive nonlinear control for uncertain control-affine systems and its applications

A KCMAC-PD controller with reduced memory and optimized mapping for the torque control of electric load simulator

T-S fuzzy control of IPMSM using backstepping integral sliding mode

Contact Info

Product

Resources

About