Experimental study of fractional order proportional integral (FOPI) controller for water level control

Bhambhani, Varsha; Chen, YangQuan

doi:10.1109/cdc.2008.4739341

Cited by 23 publications

(9 citation statements)

References 2 publications

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“…Research of FOC attracts more attention and increasing engineering applications are get [7][8][9]. Fractional order PID (PI λ D μ ) controller [10] is a generalization of classical PID controller where the integral order or differential order are non-integer.…”

Section: Introductionmentioning

confidence: 99%

Fractional order PI speed control for permanent magnet synchronous motor drives

Chen

Gao

2014

Proceeding of the 11th World Congress on Intelligent Control and Automation

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In this paper, a fractional order proportional and integral (FOPI or PI α ) speed control method for permanent magnet synchronous motor (PMSM) is presented. Based on the modeling of current loop in PMSM vector control, the speed PI α controller is designed which fulfills specifications of the given phase margin and open loop gain crossover frequency. Numerical solution of phase crossover frequency is executed for each integral order by using Newton iteration method. The corresponding gain margin is achieved afterwards. Furthermore, the parameters of PI α controller are tuned by selecting the maximum gain margin of speed loop. The simulation results show that the speed step has small overshoot and fast response, which can verify the effectiveness of the proposed control strategy.Index Terms -Permanent magnet synchronous motor (PMSM), vector control, fractional order controller (FOC), FOPI (PI α ) controller.

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Section: Introductionmentioning

confidence: 99%

Fractional order PI speed control for permanent magnet synchronous motor drives

Chen

Gao

2014

Proceeding of the 11th World Congress on Intelligent Control and Automation

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“…In recent years, there had been a great interest in the problem of designing fractional-order controllers for industrial processes, which are normally modelled by integer-order transfer functions possibly in combination with the delay term (in the literature, the term ''fractional-order controller'' is used to refer to all controllers that have non-integer powers of the Laplace variable s in their transfer function) [1][2][3][4][5][6][7][8][9]. The main reason for this interest is that fractional-order controllers commonly lead to better results (compared to classical integer-order controllers) since they have more tuning parameters.…”

Section: Introductionmentioning

confidence: 99%

Efficient method for time-domain simulation of the linear feedback systems containing fractional order controllers

Merrikh-Bayat

2011

ISA Transactions

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“…Figure4 Control signal in example 1 SISO coupled tank system was obtained in [29] Step response of the system with this controller in Smith predictor scheme and the control attempt are shown in Fig.5 and Fig.6.…”

Section: B Examplementioning

confidence: 99%

A New Approach to Design Smith Predictor Based Fractional Order Controllers

Khandani¹,

Jalali²

2010

IJCEE

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I. INTRODUCTIONDead times, or time delays, are found in many processes in industry. Dead times are mainly caused by the time required to transport mass, energy or information, but they can also be caused by processing time or by the accumulation of time lags in a number of simple dynamic systems connected in series [1]. Compared to processes without delays, the presence of a delay in the process greatly complicates the analytical aspects of the control system design, making it more difficult to achieve a satisfactory level of control [2]. Time-delay has been a common phenomenon to overcome whenever we close a feedback loop for the purpose of controlling any system. Recent increase of control applications in the variety gives more importance to systematic methods to cope with time delay. In order to compensate the negative effects of time delay, a well-known and highly effective dead-time compensator for stable processes is Smith predictor [3]. In this predictor scheme, a mathematical model of the process is implemented in an internal feedback loop around a conventional controller. The distinctive scheme was proposed by O.J.M.Smith approximately 50 years ago, and is still attracting much attention for its usefulness. The major advantage of the Smith predictor is that delay issues can be ignored when designing the controller.Fractional-order dynamic systems and controllers, which are based on fractional-order calculus have been gaining attention in several research communities since the last few years [4]. A few recent works in this direction as well as

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Experimental study of fractional order proportional integral (FOPI) controller for water level control

Cited by 23 publications

References 2 publications

Fractional order PI speed control for permanent magnet synchronous motor drives

Fractional order PI speed control for permanent magnet synchronous motor drives

Efficient method for time-domain simulation of the linear feedback systems containing fractional order controllers

A New Approach to Design Smith Predictor Based Fractional Order Controllers

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