Original scientific paperAn optimal control theory for linear quadratic finite time horizon problem is presented and combined with distributed parameters model of the BLDC (BrushLess Direct-Current) motor. Method appropriateness for minimization of the phase current control error and energy delivered to the drive is proven. The paper focuses on finding the best weighting configuration of the objective function. Presented control strategy is performed and presented employing the numerical computations.
Key words: BLDC motor, Numerical analysis, Optimal controlUpravljanje bezkolektorskim DC motorom s distribuiranim parametrima zasnovano na linearnom kvadratičnom regulatoru s konačnim horizontom. U ovom radu je predstavljen problem optimalnog upravljanja modelom bezkolektorskog DC motora s distribuiranim parametrima zasnovan na linearnom kvadratičnom regulatoru na konačnom horizontu. Metoda je prikladna za minimizaciju regulacijske pogreške fazne struje i utrošene energije za pokretanje pogona. Fokus rada je na traženju najboljih koeficijenata funkcije cilja. Predstavljena strategija upravljanja je realizirana i validirana u simulacijama.
Original scientific paperAn optimal control theory for linear quadratic finite time horizon problem is presented and combined with distributed parameters model of the BLDC (BrushLess Direct-Current) motor. Method appropriateness for minimization of the phase current control error and energy delivered to the drive is proven. The paper focuses on finding the best weighting configuration of the objective function. Presented control strategy is performed and presented employing the numerical computations.
Key words: BLDC motor, Numerical analysis, Optimal controlUpravljanje bezkolektorskim DC motorom s distribuiranim parametrima zasnovano na linearnom kvadratičnom regulatoru s konačnim horizontom. U ovom radu je predstavljen problem optimalnog upravljanja modelom bezkolektorskog DC motora s distribuiranim parametrima zasnovan na linearnom kvadratičnom regulatoru na konačnom horizontu. Metoda je prikladna za minimizaciju regulacijske pogreške fazne struje i utrošene energije za pokretanje pogona. Fokus rada je na traženju najboljih koeficijenata funkcije cilja. Predstavljena strategija upravljanja je realizirana i validirana u simulacijama.
“…The motor is modelled using the time-stepping finite element technique. The formulation relies on a strong coupling between magnetic field, driving circuitry and mechanical motion equations yielding a complete description of the state of the motor at every time instance during the numerical iterative process [9,15,18,20]. In the field model the eddy current effect in the conducting regions of the rotor and stator cores is taken into account.…”
Section: A Coupled Field-circuit Model Of the Motormentioning
confidence: 99%
“…(1) and (2), i.e. unknown state space variables A and V , may be calculated by minimising the corresponding energy functional, the method well suited to systems with energy dissipation [15]. The above equations are well known but are shown here for completeness.…”
Section: A Coupled Field-circuit Model Of the Motormentioning
confidence: 99%
“…For minimisation of energy in the drive circuit, a linear quadratic performance index is a reasonable solution. It helps finding optimal waveforms of voltage excitation supplied to motor coils in terms of minimisation of energy delivered and power losses in windings resistance [9,11,15,18,19,21]. The assumed performance index for control in infinite time horizon takes the following form…”
Section: Linear Quadratic Optimal Controlmentioning
confidence: 99%
“…This can be achieved by determining the optimal phase excitation switching angles, as discussed for example in [11] and [12]. Optimal energy control might also utilise shape and amplitude modulation of the excitation [13][14][15][16] or torque control enhancements by current waveform optimisation [1,17].…”
Abstract. An optimal control theory based method is presented aiming at minimizing the energy delivered from source and the power loss in a stepper motor circuit. A linear quadratic current regulator with an infinite time horizon is employed and its appropriateness for this type of a problem explained. With the purpose of improving the accuracy of the control system, the self and mutual inductances of windings are calculated using a finite element model. The numerically computed results are verified experimentally.
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