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Due to its cheap production costs, simple construction, and robustness, switched reluctance machines are viable candidates for traction motor drive applications in the electrification of transportation. However, high torque ripple and acoustic noise limit the performance of switched reluctance motors (SRM). This thesis considers control methods to reduce the electromagnetic torque ripple in SRM, while also analyzing the impact of these control methods on other aspect of machine performance, such as copper losses and radial force production. Traditionally, SRM is controlled using rectangular current profiles which are excited using discrete pulsations. Timing of these pulsations is quantified with conduction angles, and the performance of the machine at a given operating point can be optimized by carefully choosing these conduction angles. This thesis starts the analysis on controls of SRM using the conduction angle parameters to determine a baseline of torque ripple performance for comparison against advanced control techniques developed afterwards. Recently, current profiling techniques have been developed, and have been shown to have high performance for torque ripple reduction. In this thesis, one such technique is proposed in the form of an optimization problem where the solution of this problem yields an optimized current profile that both minimizes torque ripple while reducing copper losses. The proposed current profiling technique ensures good current tracking, which allow for optimal control performance over a wide speed range. Finally, this thesis shows the torque more generally as one component of the nodal forces in SRM. The other component of the nodal forces is the radial forces, which contributes to the noise, vibrations, and harshness of the machine. In this thesis, modeling of the radial forces has been conducted, and effects of the proposed current profiling technique on radial forces have been shown to comprehensively illustrate the performance of the current profiling technique. / Thesis / Master of Applied Science (MASc)

With the rapid development of power electronic devices and microprocessor chips, the engineers and researchers have come to pay more attentions to the feasibility of the control and drive for the switched reluctance motor. This motor has lots of advantages of low-cost, high efficiency, high stability and high hot emissive. And, it can be well operated under high temperature environment. In this paper, A newly control and monitor system is proposed with DSP-based driver system and the user-friendly LabVIEW software. The TMS320C240 chip-set is applied to construct the motor-driving system and to produce the PWM signal for the switched motor. The graphic user interface (GUI) is designed by using LabVIEW. The functions of the proposed human/machine interface (MMI) system includes the multi-channel digital I/O acquisition, the voltage/current signal acquisition,and the protocol setting.

This thesis is to investigate in detail the frameworks of speed and lift control schemes of transverse flux linear switched-reluctance machine (TFLSRM), and to verify the validity of the resulting controllers by Matlab/Simulink simulation. Before the developments of adequate control parameters, the system inductance matrix and relative state equation regarding machine voltage and force operations were devised. By using the system linearized small signal model, and Routh stability criterion, the range for all parameters of controllers can be derived. Finally, to control the propulsive and lift forces simultaneously, a supplemental phase voltage adjustment scheme has also been provided to better the overall system performance.

The objective of this thesis is to integrate available commercial Software/Hardware package and to establish appropriate graphic user interface (GUI) for transverse flux linear switched-reluctance machine (TFLSRM) motion control. By changing the machine feedback signals, package will be matched with TFLSRM. The control unit of the whole system is based on digital signal processor (DSP) with its software interface being built up by Matlab/Simulink. Hence, users can operate this machine directly by observing the output result from computer monitor. By combining with suitable PI controller, friction variation can be eliminated and the control objectives of the TFLSRM under a desirable velocity also can be achieved.

The Switched Reluctance Motor (SRM) inherits a simple and reliable structure with an economical manufacturing cost. The DC power output supplies the unipolar converter to control the pulses sent to SRM. Thus, the velocity and torque are controllable for various velocity commands, and the SRM is gaining more and more applications on high torque requirement field with constant power. This paper proposes a DSP based hybrid sensor for switched reluctance motor with easy implementation. The current transducer is used to monitor the energized current and proximity sensors for rotor salient. The signals are then fed back to DSP. This design will improve the performance of SRM to operate more smoothly.

Switched reluctance motors (SRMs) are promising candidates for electric vehicles due to lower manufacturing costs, higher efficiency, and robustness operation in a harsh envi-ronment. For accurate control of the SRM, the real-time rotor position is needed for phase computation. To obtain position information, position-sensorless control techniques have been developed to take the role of position sensors in commercial SRM drives for cost reduction or sensor-fault tolerance capability. Nowadays, the position-sensorless control of SRMs still suffers from a technical problem: the dependence on magnetic characteris-tics. Existing position estimation algorithms often require time-consuming offline meas-urement of magnetic parameters, limiting the broad applications due to the low generality. It is therefore of great significance to develop universal position-sensorless control tech-niques with less magnetic parameter dependence. Zero- and low-speed position-sensorless control of the SRM needs high-frequency in-jection into the idle phase to measure the stator inductance. Rotor position is often esti-mated from the prestored inductance lookup table but is replaced by a new regional phase-locked loop (RPLL) with a self-commissioning process in this thesis. The modeling of the unsaturated stator inductance can be established automatically via the pulse voltage injection at the initial stage without offline testing. The RPLL embedded with a three-phase heterodyne design can estimate the full-cycle rotor position from the idle-phase in-ductance based on the unsaturated inductance model. The proposed low-speed position estimator can also realize robust sensorless control in four-quadrant operation and magnet-ic saturation conditions without complicated magnetic characteristics. Besides, local sta-bility of the position estimator is proved, and an optimized parameter design scheme is given. Although pulse voltage injection offers accurate position estimation in low-speed op-eration, the induced pulse current results in additional copper loss and torque ripples. This problem is overcome in the thesis by regulating the magnitude of induced current at a minimal level. The induced current regulator is designed as a terminal sliding-mode con-troller that adjusts the injection voltage online over the whole idle-phase period. Proper control parameter selection based on the convergence analysis and stability proof ensures robust control performance against parameter uncertainties. The proposed pulse injection scheme combined with the RPLL can guarantee accurate position estimation while reduc-ing copper losses and torque ripples significantly. Due to the shortened idle-phase duration when the rotor speed increases, pulse injec-tion methods are infeasible for high-speed position estimation. To solve the problem, this thesis proposes a nonlinear observer based on feature position estimation in conduction phases for high-speed sensorless control. A self-commissioning method is adopted to cap-ture a two-dimensional flux linkage curve at a feature position, which avoids offline measurement of the complete three-dimensional characteristics. However, the estimated feature position has low resolution, and its estimation accuracy is degraded by nonideal flux linkage errors. To improve the sensorless control performance, a nonlinear state ob-server using online Fourier series is then designed to eliminate disturbances in position es-timation. Parameter design based on a small-signal analysis is also given to guarantee ac-curate position and speed estimation. High-speed position-sensorless control is further simplified using a new quadrature flux estimator without using any flux linkage characteristics. The method requires neither offline measurement nor online self-commissioning. This advantage is realized by adopt-ing a speed-adaptive bandpass filter to extract the fundamental flux linkage. A three-phase phase-locked loop is then used to estimate the rotor position from the orthogonal flux linkage signals without a priori knowledge of the SRM magnetic characteristics. The magnetic-parameter-free position estimation can facilitate the application of sensorless control in a general-purpose SRM converter. A wide-speed range position estimation scheme is realized by combining both the low-speed and high-speed position estimation approaches. Consequently, a universal posi-tion-sensorless control scheme is proposed in the thesis, covering the full-speed range and not requiring offline measurement effort. The proposed position estimation schemes are verified on a 5.5 kW 12/8 SRM test bench. / Thesis / Doctor of Philosophy (PhD)

Double rotor machines, appearing in versatile forms and configurations thanks to the great flexibility of having a pair of rotors, are seen in a number of applications. Double rotor machines show promising prospect in the application of advanced hybrid electric vehicle powertrains due to the requirement of dual electro-mechanical ports in such systems. Integrating these powertrain systems with double rotor machines not only brings design freedom of laying out components, but also reduces number of parts and thus improves compactness. The switched reluctance type double rotor machines, offering unique characteristics of having a simple structure and no permanent magnets, are strong candidates for high performance applications. In this thesis, a family of double rotor switched reluctance machine with segmented rotors is proposed and studied. Compared to double rotor switched reluctance machines with a more conventional structure, the proposed designs exhibit potentials of achieving higher compactness and performance. A prototype double rotor machine of the segmented rotor design is constructed and tested to benchmark an existing double rotor switched reluctance machine. The experiment results show that the proposed design is able to achieve the same output with similar or higher efficiency than the benchmark machine, while occupying only about 60% of overall volume. The double segmented rotor switched reluctance machine demonstrates to be a promising double rotor topology and is worth further research. / Thesis / Master of Applied Science (MASc)

In this thesis, advanced control methods are presented for torque ripple reduction and performance improvement in switched reluctance motor (SRM) drives. Firstly, a comparative evaluation of power electronic converters including asymmetric, N+1, C dump, split AC, and split DC converters is presented for three-phase SRMs in terms of cost, efficiency and control performance. Secondly, two methods are proposed using torque sharing function (TSF) concepts for torque ripple reduction of SRM over a wide speed range. An offline TSF is proposed to minimize the copper loss and the absolute rate of change of flux linkage (ARCFL) with a Tikhonov factor. Then an online TSF is proposed by adding a proportional and integral compensator with torque error to torque reference of the phase with lower ARCFL. Therefore, the total torque of online TSF is determined by the phase with lower ARCFL rather than the phase with higher ARCFL as in conventional TSFs. The maximum torque-ripple-free speed (TRFS) of the offline TSF and online TSF is validated to be 7 times and 10 times as high as the best case in these conventional TSFs, respectively. Thirdly, two methods are proposed to eliminate mutual flux effect on rotor position estimation of SRM drives without a prior knowledge of mutual flux, one is the variable-hysteresis-band current control for the incoming-phase self-inductance estimation and the other is variable-sampling outgoing-phase self-inductance estimation. Compared with the conventional method which neglects the mutual flux effect, the proposed position estimation method demonstrates an improvement in position estimation accuracy by 2º. Fourthly, a fixed-switching-frequency integral sliding mode current controller for SRM drives is presented, which demonstrates high dynamics, strong robustness and none steady-state error. All the proposed control methods are verified by both simulations and experiments with a 2.3 kW, 6000 rpm, three-phase 12/8 SRM operating in both linear magnetic and saturated magnetic regions. / Thesis / Doctor of Philosophy (PhD)