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Sensorless Speed Estimation of Wind Driven Squirrel Cage Induction Machine

Thesis Info

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Author

Waleed Ahmad, Arbab

Program

PhD

Institute

National University of Sciences & Technology

City

Islamabad

Province

Islamabad

Country

Pakistan

Thesis Completing Year

2010

Thesis Completion Status

Completed

Subject

Electrical Engineering

Language

English

Link

http://prr.hec.gov.pk/jspui/bitstream/123456789/13677/1/Arbab_Waleed_Ahmad_Electrical_Engineering_2010_NUST_24.06.2016.pdf

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676727832342

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Wind Energy Conversion Systems (WECS), among various renewable energy resources, have gained a big boost lately because of being emission free, and relatively more efficient. Nano scale wind turbines operating in category 4 and 5 (wind velocity of 11 to 15 mph) wind speeds are getting a lot of acceptance in coastal areas and remote areas of many countries where such wind speeds are available for most part of a year. For grid integrated systems cage or wound rotor induction machines are commonly used. These are usually controlled by back to back PWM VSI utilizing vector Field Oriented Control (FO). Field orientation requires an accurate knowledge of the rotor speed, which conventionally is measured using tacho-generators, high resolution shaft encoders, and resolvers etc. However, due to relatively high cost of such sensors in low power applications and associated reliability/maintenance issues, sensor-less speed estimation techniques are preferable. Several model based approaches such as MRAS, extended Kalman filtering, Luenberger observers and neural networks have been reported in the literature. These methods provide good speed estimates but have associated high computational cost. Moreover, accuracy of the estimates is also dependent upon the accuracy of the parameters used for motor modeling. With variable environmental conditions, it is difficult to obtain accurate estimates. The method of Current Signature Analysis offers the benefit that the current signature is independent of the machine''s time varying parameters. The magnetic saliency related harmonics in the stator current spectrum directly give a measure of the rotor speed. Among these methods, the Rotor Slot Harmonic (RSH) based speed estimation has been reported. Identification of the RSH requires quite complex procedure as its amplitude is approx 2% of the fundamental supply frequency component and it is located in close vicinity of the fundamental. Notch filter based suppression of the fundamental component is a common procedure; but requires the use of high order notch filter which also results in filtering out of useful information in the near vicinity of the fundamental. For an induction machine installed upon a wind turbine, the generated power has additional harmonics due to the dynamics of the wind turbine system e.g. wind shear, tower shadow, blade sampling and the like. Tower shadow especially having significant amplitude (up to 20% of the fundamental in extreme cases) has a detrimental effect on the power quality as it results in Flicker in the generated voltage. This thesis focuses on the harmonic identification and utilization of electrical signature of the wind turbine dynamics specifically the tower shadow effect for sensor-less rotor speed estimation of the generating machine. The machine current signal is sampled and analyzed using well established signal processing techniques to identify the tower shadow harmonic component. Specifically, Hilbert transform is used for amplitude demodulation of the tower shadow signal from the fundamental carrier. FFT based spectral decomposition then gives the required harmonic. This information may be utilized in a number of useful ways for achieving goals like field-oriented control of the machine (PM, reluctance, Induction, DFIG) and/or diagnostics, power quality. By its nature, the method devised and implemented by the author has inherent delays of a few cycles. This limitation, however, can be overcome for applications requiring fast updates (like IFOC) by using model-based observers for speed estimation in conjunction with the proposed scheme for periodic correction which result in zero drift against parameter variations. Moreover, the Flicker effect has been known for power quality degradation at the Point of Common Coupling (PCC) in grid integrated WECS. Different methods have been proposed to mitigate the flicker effect of the wind turbines which include the use of Static VAR Compensators (SVC), Static Synchronous Compensator (STATCOM) and Power System Stabilizers (PSS). This thesis also proposes a method using the tower shadow signature extracted via stator current sampling to mitigate the flicker in the generated output voltage by adding an additional torque loop to the IFOC. The technique is simulated and the results are shown.
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7۔ با اثر طبقات کا اسلامی قوانین کی تنفیذ میں رکاوٹ بننا

7۔ با اثر طبقات کا اسلامی قوانین کی تنفیذ میں رکاوٹ بننا
حدود و قصاص قوانین کے نفاذکے راستہ میں ایک بڑی رکاوٹ ہمارے ملک کے بااثر طبقات ہیں جو اپنے طبقاتی مفادات کا ہر صورت میں تحفظ چاہتے ہیں۔ پاکستان کے ایک سابق وزیر خزانہ نے (1985ء کے لگ بھگ ) کہا تھا کہ پاکستان میں اسی ارب روپے کا ٹیکس حاصل ہونا چاہیے لیکن صرف بیس ارب روپے سرکاری خزانے میں جاتے ہیں۔ چالیس ارب روپے افسران کی جیب میں چلے جاتے ہیں اور بیس ارب روپے کا ٹیکس چوری ہوتا ہے۔ اگر چالیس ارب روپے افسران کی جیب میں جانے کا اندازہ صحیح ہے، تو جہاں پچاس فیصد سے زیادہ ٹیکس کی رقم ٹیکس جمع کرنے والوں کی جیب میں جاتی ہو، تو کیا وہ لوگ ٹیکس کا نیا نظام آنے دیں گے؟ ہر گز نہیں ۔ وہ اس میں رکاوٹ پیدا کریں گے ۔ جب زکوۃ کا نظام لایا گیا تو اس وقت اسلامی نظریاتی کونسل نے یہ کہا تھا کہ زکوۃ کے نظام کو کامیاب بنانے کے لیے ٹیکسوں کے نظام میں بڑی اور انقلابی تبدیلیاں لانے کی ضرورت ہے، ورنہ زکوۃ کا نظام کا میاب نہیں ہوگا ۔ اس وقت حکومت نے وعدہ کیا تھا کہ جلد ہی ٹیکسوں کے پورے نظام پر نظر ثانی کی جائے گی ۔ لیکن وہ تبدیلیاں نہیں ہوئیں اور ٹیکسوں کا نظام اسی طرح رائج ہے 503۔ اس کی بنیادی وجہ یہ ہے کہ ایک بہت بڑے طبقے کا مفاد اس نظام سے وابستہ ہے ۔ وہ طبقہ اس میں کوئی تبدیلی اور اصلاح نہیں ہونے دے گا ۔ بینکنگ اور ٹیکسوں کے نظام میں درجنوں بار اصلاحات تجویز ہوئیں لیکن وہ نافذ نہیں ہو سکیں، کیونکہ اس سے کئی با اثر طبقات کے مفادات پر زد پڑتی تھی۔

Dengue Fever: A Continuous Threat

Dengue fever is a vector borne disease and is caused by DEN Virus. This virus has four different serotypes. The vectors are two mosquitoes known as Aedesaegypti (the yellow fever mosquito) and Aedesalbopictus(the Asian tiger mosquito).  First case of dengue fever was reported back in 1994 in Karachi. A complete outbreak of this epidemic shook the whole nation in 2012. Uptill now, Lahore a city full of culture, witnessed about 16,580 confirmed cases and 257 deaths. About 5000 confirmed cases with 60 deaths were reported from the rest of the provinces. Under guidelines of WHO, Government has made efforts to combat this epidemic. Although the overall efforts have minimized the outbreak on controllable levels but dengue fever is a continuous threat. Since no permanent cure is available, the transmission of DEN virus is controlled indirectly. So the prime focus is to control mosquito population and decrease the possible hot spots i.e. Mosquito breeding sites in human habitations. Every year, the country witnesses monsoon season which brings vast areas full of clear standing waters providing breeding sites for mosquitoes which ultimately leads to increased number of patients suffering from dengue fever. Efforts have been made to fight against dengue including formation of dengue wards in hospitals, vector surveillance, community education, reactive vector control etc. A study has shown prevalence of four mosquito genera in Pakistan including Aedes, Culex, Armigeresand Anopheles. All of the above mentioned genera are associated with disease transmissions as they are the vectors of different viruses and parasites. It is the need of hour to do a collaborative effort stressing the community mobilization and management in war against dengue.

Effect of Enhanced Atmospheric Carbon Dioxide on the Nutritional Quality of Selected Dietary Vegetables

Besides increasing global temperature, enhanced atmospheric carbon dioxide is affecting physcio-chemical and nutritional characteristics of crops and vegetables. In order to evaluate the hypothesis that climate change is threatening food quality, the effect of enhanced atmospheric CO2 on nutritional, elemental and fatty acid composition of dietary vegetables has been investigated. Dietary vegetables including tomato (Lycopersicon esculentum), chili (Capsicum annuum), onion (Allium cepa), okra (Abelmoschus esculentus), cucumber (Cucumis sativus), spinach (Spinacia oleracea), carrot (Daucus carota), pea (Pisum sativum), cauliflower (Brassica oleracea), radish (Raphanus sativus), turnip (Brassica rapa) and eggplant (Solanum melongena) were grown in ambient (400 μmol mol-1) and elevated (1000 μmol mol-1) concentration of CO2 in green houses. Edible parts of the vegetables (fruit/flower/tuber/seeds or leaves) were collected on maturity and analyzed. Enhanced CO2 has largely disturbed the nutritional balance of vegetables. A significant increase in carbohydrates and crude fiber at the cost of protein, vitamin C and fat contents was observed. Elements behaved inconsistently with a general decreasing trend. The results revealed that with a substantial increase in yield, nutritional quality of dietary vegetables unfavorably altered under CO2 enrichment with accumulated sugars and diminished proteins and vitamin C. Plants were examined for their physical characteristics and chemical composition. Previously known standard procedures were applied for chemical analysis. Samples were analyzed in triplicate and standard deviation was calculated, Student’s t test was applied on data using SPSS 16. Results were quoted as significant at (P≤0.05), non-significant (ns) at P>0.1 and trend at 0.05<P≤0.1. Nutritional balance of majority of the vegetables studied was disturbed by CO2 enriched atmosphere. Two varieties of tomato were analysed and it was observed that protein content of tomato varieties were reduced by 13.64% and 18.27% and vitamin C by 20.02% and 24.72% for mature stages and 9.59% for premature stage. Increase in sugar content with elevated CO2 was 16.12% and 20.85% for mature and 14.16% for premature tomato. Elemental composition of tomato was disturbed by enhanced CO2 with increased C, H, Ca, Fe and iv Cu and reduced N, Mg, Zn, Mn, Pb, Ni, Cr and Cd. Most of the fatty acids including essential fatty acids i.e. linoleic acid and linolenic acid, were reduced by elevated CO2. Enhanced CO2 disturbed nutritional, elemental and fatty acid composition of capsicum varieties. Five varieties of capsicum were analysed. Observed reduction in protein was from 25.10% to 31.62% and in vitamin C it was from 11.84% to 15.66% for mature red stages and 8.98% to 12.12% for premature green stages of capsicum. Sugar contents were increased in the range 11.83% to 13.86% in red stages and 9.66% for the green stage of on variety. Elemental composition of capsicum varieties was disturbed by elevated level of CO2. Elements like C, H, Fe and Mn were increased while Ca, Mg, N, Zn and Pb were decreased. Response of capsicum fatty acids to enhanced CO2 was not same, however a general decreasing trend was observed. Enhanced CO2 altered nutritional quality of onion with reduced protein and vitamin C and increased sugars. For four varieties of onion the observed decrease in protein with elevated CO2 ranged from 12.01% to 19.53% and that of vitamin C ranged from 17.14% to 21.64%. Total sugar content was increased by 11.24%. Among the elements, C and Zn were increased while N, Mn, Fe, Pb and Cr were decreased. Different fatty acids of onion bulbs responded differently to enhanced CO2, with a general decreasing trend. Elevated CO2 reduced the nutrient composition of okra. Protein content of okra was reduced by 23.95% and 18.24% and vitamin C content was reduced by 17.72% and 13.66% for two varieties. Total sugar content of okra increased by 18.73% and 19.34%. Elemental composition of okra was disturbed by elevated CO2 with increased C, Ca and Fe and decreased N, Mg, Zn, Mn and Pb. Fatty acids of okra were mostly decreased by enhanced CO2. Enhanced CO2 decreased the protein content of cucumber by 11.15%, vitamin C by 18.57% and increased total sugars by 15.20%. Elements like C, H, Ca and Mg were increased while N, Zn, Mn and Fe were decreased by elevated CO2. Elevated CO2 mostly decreased the fatty acid content of cucumber with reduced linolenic acid, and linoleic acid. v Atmospheric CO2 enrichment disturbed the nutritional balance of spinach with 15.88% reduction in protein and 15.72% reduction in vitamin C. Among elements, C, H and Ca were increased while N, Zn, Mn, Fe, Pb, Ni, Cu and Cr were decreased. Elevated CO2 decreased almost all of the fatty acids in spinach leaf. The decrease was more pronounced for major fatty acids as compared to minor fatty acids. Elevated CO2 affected the nutritional composition of root vegetables. Protein content of carrot, radish and turnip root tubers was decreased by 24.30%, 18.83% and 18.17% respectively by enhanced CO2. Vitamin C was reduced by 9.09% for carrot, 12.93% for radish and 21.87% for turnip. Sugar content was increased by 12.99% and 19.64% by CO2 enrichment for radish and turnip respectively. Elemental and fatty acid composition of root vegetables were also disturbed by enhanced CO2. Nutritional composition of pea was disturbed by enhanced CO2 with 13.42% reduction in protein, 13.95% reduction in vitamin C and 13.14% increase in total sugars. Elements like C, H and Mn were increased while N, Ca, Mg, K and Fe were reduced. Elevated CO2 decreased linoleic, linolenic and oleic acids in pea lipids. Elevated CO2 decreased the protein content of cauliflower by 15.55% and Vitamin C by 18.59%. Concentration of C and H were increased and that of N, S, Ca, Zn, Mn, Fe, Cu and Cr were decreased. Enhanced CO2 decreased the fatty acid content of cauliflower oil including linolenic, palmitic and linoleic acid. Protein and vitamin C content of eggplant were decreased with enhanced CO2. The decrease was 11.36% for protein and 15.96% for vitamin C. Elements like C, H and Ca were increased while N, Mg, K, Zn, Mn and Fe were decreased. Most of the fatty acids were reduced by elevated CO2. Vegetables responded differently to enhanced CO2 and more interestingly, even different varieties of the same vegetable showed different changes. Although the data is on a limited scale, the message is loud and clear - enhanced atmospheric CO2 has adversely affected the nutritional balance of dietary vegetables.