[논문]A Novel Technique for Tuning PI-Controllers in Induction Motor Drive Systems for Electric Vehicle Applications

Elwer Ayman Saber

A Novel Technique for Tuning PI-Controllers in Induction Motor Drive Systems for Electric Vehicle Applications 원문보기

Journal of power electronics, v.6 no.4, 2006년, pp.322 - 329

Elwer Ayman Saber (Dept. Of Power Electronics and Energy Conversion, Electronics Research Institute)

Abstract ▼ AI-Helper

In the last decade, the increasing restrictions imposed on the exhaust emissions from internal combustion engines and traffic limitations have increased the development of electrical propulsion systems for automotive applications. The goal of electrical and hybrid vehicles is the reduction of global emissions, which in turn leads to a decrease in fuel resource exploitation. This paper presents a novel approach for control of Induction Motors (IM) using the Particle Swarm Optimization (PSO) algorithm to optimize the parameters of the Proportional Integral Controller (PI-Controller). The overall system is simulated under various operating conditions. The use of PSO as an optimization algorithm makes the drive robust and insensitive to load variation with faster dynamic response and higher accuracy. The system is tested under variable operating conditions. The simulation results show a positive dynamic response with fast recovery time.

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제안 방법

Several methods are introduced to tune the PI- Controller. Our proposed method is using PSO to optimize Pl-controller parameters; the PSO algorithm is used on-line to update the PI parameters as shown in figure (1). In this figure there are three Pl-controllers (PI1, P12 and PI3) with six constants (Kpl and Kil, Kp2 and Ki2, Kp3 and Ki3) that are tuned using PSO.
A block diagram for a Field Oriented Controller can be seen in the following section. This design uses a more robust structure known as indirect FOC, meaning that the rotor angle is not determined directly by measuring the air gap flux with hall-effect sensors. These sensors are not particularly suited for _나se in large industrial motors as they can be fragile and sensitive to temperature change [5].

이론/모형

The overall system is simulated and tested when subjected to various operating conditions which are suitable for EV. The motor is controlled for both speed and currents using Pl-controllers which are tuned using a PSO algorithm to optimize the PI parameters (Kp and Ki) for each controller instead of the traditional Z-N method.

참고문헌 (10)

Vas, Peter, Sensorless Vector and Direct Torque Control' New York: Oxford University Press, 1998
R.W. De Doncker and D.W. Novotny, ' The Universal Field Oriented Controller' IEEE Trans. On I.A., vol.30, Jan/Feb 1994, pp.92-100
T.G. Habetler, F.Projumo, M.Pastorelli, 'Direct Torque Control of Induction Machine Over a Wide Speed Range' IEEE-IAS Conf. Rec., 1991, pp.600-606
J. Holtz, 'The Representation of AC Machine Dynamics by Complex Signal Flow Graphs,' IEEE Trans. Ind. Elect., Vol 42, No. 3, June 1995, pp. 263 - 271

상세보기
H Tajima, Y Hori, 'Speed Sensorless Field Orientation Control of the Induction Machine,' IEEE Trans. Industry Appl., Vol 29, No. 1, 1993 pp 175 - 180

상세보기
S. E Lysherski, Electromechanical Systems, Electric Machines and Applied Mechatronics, CRC Press, Boca Raton, 2000
A.Besharati, W.Lo,K.M Tsang ' Self-Tuning of PID Controller Using Newton-Raphson Search Method ' IEEE, Trans. Om I.E., vol.44, No.5,pp.717-725
R.C.Eberhart, J.Kennedy ' A New Optimizer Using Particle Swarm Theory' Proc. Of sixth International Symposium On Micro Machine and Human Science (Nagoya-Japan), IEEE Service center 1995, pp. 39-43
A.S.Elwer, S.Wahsh, O.Khalil and A.Nour eldin ' Intelligent Fuzzy Controller Using Particle Swarm Optimization For Speed Control of PMSM ' IECON 2003 conf. Proc. Roanoke, Virginia, USA, 2-6 Nov. 2003, pp.1762-1766
Y.H.Shi, and R.C.Eberhart ' Parameter Selection in Particle Swarm Optimization ' The 7th, annual Conf., on Evolutionary Programming, San Diego, USA, 1998

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