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Predictive Direct Torque Control Algorithm for Induction Motors and its Digital Implementation
Mutschler,Peter,Flash,Erich 전력전자학회 1998 ICPE(ISPE)논문집 Vol.- No.-
To achieve fast control action, direct control methods should be used "Direct Mean Torque Control" (DMTC) combines the good dynamic performance of Direct Torque Control (DTC) with the advantages of inherently constant switching frequency and time equidistant control for implementation in a digital signal processor Since DMTC is a predictive control algorithm, the model and its correction deserves special investigations This paper proposes a steady-state Kalman filter which is well suited for fast computation<br/>
Fault Tolerant Actuator for Steer-By-Wire Application
P.Mutschler,A.Krautstrunk 전력전자학회 2001 ICPE(ISPE)논문집 Vol.2001 No.10
Reliability and safety of steer-by-wire concepts can be achieved by redundant designs. This paper discusses the design of a fault tolerant concept for a force feedback actuator with a standard three-phase PMSM. In contrast to usual drives, the phases of the machine are separated electrically This design allows driving the machine with two instead of three phases tn case of a fault. A superimposed torque controller adjusts the influence of fault currents and torque harmonics in two-phase operation and guarantees. smooth torque at the steering wheel.<br/>
Peter Mutschler 전력전자학회 2007 ICPE(ISPE)논문집 Vol.- No.-
For integrated material handling and processing in industrial applications, permanent magnet (PM) linear drive systems are proposed. Solutions with Short Primary and Long Primary are compared. The Short Primary type uses a passive track and an active vehicle that is supplied by a contact less energy transmission and is operated by an on- board controller and inverter. The Long Primary type uses an active track and passive, lightweight vehicles. The active track consists of a large number of segments, each operated by an individual controller and inverter. Experimental results of the Long Primary type are presented.
Kim, Min-Jea,Mutschler, Martha A. American Society for Horticultural Science 2006 Journal of the American Society for Horticultural Vol.131 No.5
<P>Sixteen tomato [<I>Solanum lycopersicum</I> L. (syn. <I>Lycopersicon esculentum</I> Mill.)] genotypes (inbred lines or hybrids) were tested against five <I>Phytophthora infestans</I> (Mont.) deBary isolates to characterize race specificity of late blight resistance transferred to tomato from <I>Solanum pimpinellifolium</I> L. [syn. <I>Lycopersicon pimpinellifolium</I> (L.) Mill.] accession L3708. The effects of plant genotype, isolate, genotype × isolate, and isolate × replication interactions were highly significant (<I>P</I> = 0.001). Set of four sister lines fixed for late blight resistance (CU-R lines) exhibited full and equal resistance to the five pathogen isolates tested. In contrast, the heterozygous F1 hybrids, created by crossing the resistant CU-R lines with a susceptible parent, were resistant to US-11; partially resistant to US-17, NC-1, and DR4B; and susceptible to US-7. Differential responses were also observed across pathogen isolates on a set of resistant sister lines (CLN-R lines), which also were bred from L3708. The CLN-R lines were resistant to the DR4B, NC-1, and US-11 isolates, but showed significant disease-affected areas and sporangium numbers following inoculation with either US-7 or US-17. Restriction fragment length polymorphism (RFLP) analysis confirms that both CU-R and CLN-R are homozygous for the <I>Ph-3</I> gene derived from L3708. Since progeny tests also confirmed that the CLN-R lines are fixed for their level of resistance, these results suggest that late blight resistance in the CU-R lines is not controlled by <I>Ph-3</I> alone, and that at least one additional gene conferring late blight resistance is missing from the CLN-R lines. Results of genetic tests of the (CU-R × CLN-R) F1 and a (CU-R × CLN-R) F2 population with the pathogen isolate US-17 strongly support a model in which resistance of the CU-R lines requires genes in addition to <I>Ph-3</I>. The implications of this information in breeding for late blight resistance and using of the resulting resistant lines or hybrids are discussed.</P>
Fuzzy Logic Speed Controller of 3-Phase Induction Motors for Efficiency Improvement
Abdelkarim, Emad,Ahmed, Mahrous,Orabi, Mohamed,Mutschler, Peter The Korean Institute of Power Electronics 2012 JOURNAL OF POWER ELECTRONICS Vol.12 No.2
The paper presents an accurate loss model based controller of an induction motor to calculate the optimal air gap flux. The model includes copper losses, iron losses, harmonic losses, friction and windage losses, and stray losses. These losses are represented as a function of the air gap flux. By using the calculated optimal air gap flux compared with rated flux for speed sensorless indirect vector controlled induction motor, an improvement in motor efficiency is achieved. The motor speed performance is improved using a fuzzy logic speed controller instead of a PI controller. The fuzzy logic speed controller was simulated using the fuzzy control interface block of MATLAB/SIMULINK program. The control algorithm is experimentally tested within a PC under RTAI-Linux. The simulation and experimental results show the improvement in motor efficiency and speed performance.
Fuzzy Logic Speed Controller of 3-Phase Induction Motors for Efficiency Improvement
Emad Abdelkarim,Mahrous Ahmed,Mohamed Orabi,Peter Mutschler 전력전자학회 2012 JOURNAL OF POWER ELECTRONICS Vol.12 No.2
The paper presents an accurate loss model based controller of an induction motor to calculate the optimal air gap flux. The model includes copper losses, iron losses, harmonic losses, friction and windage losses, and stray losses. These losses are represented as a function of the air gap flux. By using the calculated optimal air gap flux compared with rated flux for speed sensorless indirect vector controlled induction motor, an improvement in motor efficiency is achieved. The motor speed performance is improved using a fuzzy logic speed controller instead of a PI controller. The fuzzy logic speed controller was simulated using the fuzzy control interface block of MATLAB/SIMULINK program. The control algorithm is experimentally tested within a PC under RTAI-Linux. The simulation and experimental results show the improvement in motor efficiency and speed performance.