Speed control of electrical drives using classical control methods

Harnefors, Lennart; Saarakkala, Seppo E.; Hinkkanen, Marko

doi:10.1109/ecce.2011.6063989

Cited by 33 publications

(59 citation statements)

References 43 publications

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“…However, because the high control gain of the PI controller vibrates according to the speed, selecting the control gain value is difficult, and the ripple of the estimated speed can increase. If P and I are selected appropriately, the error of the rotor angle will converge to zero, and the output will be the estimated speed [1]- [3], [10]. The rotor angle is estimated by the estimated fluxes of the d-and q-axis via the proposed full-order flux observer.…”

Section: E Speed Estimationmentioning

confidence: 99%

“…In general, a PI controller is used for speed estimation [1]- [3], [10]. A PI controller has a simple structure and can control speed through the control gain.…”

Section: E Speed Estimationmentioning

confidence: 99%

“…Therefore, the speed error value of the PI speed controller converges to values near zero. The output, which is an angular speed, is the sum of the values generated through proportion and integration [10].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Wide-Range Sensorless Control for SPMSM Using an Improved Full-Order Flux Observer

Lee

2015

Journal of Power Electronics

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A sensorless control method was recently investigated in the robot and automation industry. This method can solve problems related to the rise of manufacturing costs and system volume. In a vector control method, the rotor position estimated in the sensorless control method is generally used. This study is based on a conventional full-order flux observer. The proposed full-order flux observer estimates both currents and fluxes. Estimated d-and q-axis currents and fluxes are used to estimate the rotor position. In selecting the gains, the proposed full-order flux observer substitutes gain k for the speed information in the denominator of the gain for fast convergence. Therefore, accurate speed control in a low-speed region can be obtained because gains do not influence the estimation of the rotor position. The stability of the proposed full-order flux observer is confirmed through a root-locus method, and the validity of the proposed observer is experimentally verified using a surface permanent-magnet synchronous motor.

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Section: E Speed Estimationmentioning

confidence: 99%

“…In general, a PI controller is used for speed estimation [1]- [3], [10]. A PI controller has a simple structure and can control speed through the control gain.…”

Section: E Speed Estimationmentioning

confidence: 99%

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Wide-Range Sensorless Control for SPMSM Using an Improved Full-Order Flux Observer

Lee

2015

Journal of Power Electronics

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“…A rule of thumb is to select the sampling frequency ten times the bandwidth of the process [29]. If a too low sampling frequency is selected, the higher frequencies of the system are not identified correctly, which further causes bias to the motor-side inertia estimate J M according to (5).…”

Section: Sampling Frequency and The Number Of Samplesmentioning

confidence: 99%

“…To achieve high dynamic performance, motion control of the drive systems with resonant mechanical loads should be based on higher-order mechanical models. The model-based automatic controller tuning typically relies on the knowledge of mechanical parameters and some performance specifications (e.g., closed-loop bandwidth) [4], [5]. However, datasheets of the mechanical components are not often available or the calculation of the mechanical parameters can be a highly complex The authors are with the School of Electrical Engineering, Aalto University, 00076 Aalto, Finland (e-mail: seppo.saarakkala@aalto.fi; marko.hinkkanen@ aalto.fi).…”

Section: Introductionmentioning

confidence: 99%

Identification of two-mass mechanical systems using torque excitation: Design and experimental evaluation

Saarakkala

Hinkkanen

2014

2014 International Power Electronics Conference (IPEC-Hiroshima 2014 - ECCE ASIA)

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Robust 2DOF fuzzy gain scheduling control for DC servo speed controller

Chitsanga

Kaitwanidvilai

2016

IEEJ Transactions Elec Engng

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This paper proposes a new design method called "robust 2DOF fuzzy gain scheduling control" for a DC servo speed control system. The proposed technique utilizes the basic concept of 2DOF robust loop shaping, whose time-domain specifications are combined during the controller design using a reference model. In addition, the local controllers are fixed-structure robust controllers whose structure can be specified as for a simple controller. A fuzzy approach is adopted in both system identification process and global control structure to accomplish an entirely robust system. Although the design of robust control in a fuzzy system is not easy, genetic algorithms (GAs) simplify the control design problem to design the fuzzy controller such that the average stability margin is minimized. Implementation of a DC servo speed control was adopted to investigate the effectiveness of the proposed controller. As seen from the results, the proposed controller has more robust performance and can be adopted in applications with a wide operating range.Somyot Kaitwanidvilai (Non-member) received the B.Eng. and M.Eng. degrees in electrical engineering, both from KMITL, in 1996 and 2000, respectively, and the D.Eng. degree in mechatronics engineering from AIT in 2005. Currently he is an Associate Professor with the Department of Electrical Engineering, KMITL. His research interests include power electronics, artificial intelligence in power electronics, power system applications, robust and adaptive control, neural network and fuzzy logic control, and mechatronics.

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Speed control of electrical drives using classical control methods

Cited by 33 publications

References 43 publications

Wide-Range Sensorless Control for SPMSM Using an Improved Full-Order Flux Observer

Wide-Range Sensorless Control for SPMSM Using an Improved Full-Order Flux Observer

Identification of two-mass mechanical systems using torque excitation: Design and experimental evaluation

Robust 2DOF fuzzy gain scheduling control for DC servo speed controller

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