Parameter optimization for noise and vibration reduction associated with position and speed sensorless control of permanent magnet machines at low speed

With the advantages and popularity of Permanent Magnet (PM) motors due to their high power density, there is an increasing incentive to use them in variety of applications including electric actuation. These applications have strict noise emission standards. The generation of audible noise and associated vibration modes are characteristics of all electric motors, it is especially problematic in low speed sensorless control rotary actuation applications using high frequency voltage injection technique. This dissertation is aimed at solving the problem of optimizing the sensorless control algorithm for low noise and vibration while achieving at least 12 bit absolute accuracy for speed and position control. The low speed sensorless algorithm is simulated using an improved Phase Variable Model, developed and implemented in a hardware-in-the-loop prototyping environment. Two experimental testbeds were developed and built to test and verify the algorithm in real time.^ A neural network based modeling approach was used to predict the audible noise due to the high frequency injected carrier signal. This model was created based on noise measurements in an especially built chamber. The developed noise model is then integrated into the high frequency based sensorless control scheme so that appropriate tradeoffs and mitigation techniques can be devised. This will improve the position estimation and control performance while keeping the noise below a certain level. Genetic algorithms were used for including the noise optimization parameters into the developed control algorithm.^ A novel wavelet based filtering approach was proposed in this dissertation for the sensorless control algorithm at low speed. This novel filter was capable of extracting the position information at low values of injection voltage where conventional filters fail. This filtering approach can be used in practice to reduce the injected voltage in sensorless control algorithm resulting in significant reduction of noise and vibration.^ Online optimization of sensorless position estimation algorithm was performed to reduce vibration and to improve the position estimation performance. The results obtained are important and represent original contributions that can be helpful in choosing optimal parameters for sensorless control algorithm in many practical applications.^

Translating international norms: Filters to women's rights in Lebanon

In 1979 the United Nations passed the Convention on the Elimination of All Forms of Discrimination against Women (CEDAW), an international bill of rights for women. Much scholarship has focused on the degree to which states have adopted these new international gender norms, but have paid little attention to the fact that norms change in the processes of implementation. This dissertation focuses on that process assessing the translation of international gender equality norm in Lebanon.^ The study traces global gender equality norms as they are translated into a complex context characterized by a political structure that divides powers according to confessional groups, a social structure that empowers men as heads of families, and a geopolitical structure that opposes a secular West to the Muslim East. Through a comparison of three campaigns – the campaign to combat violence against women, the campaign to change personal status codes, and the campaign to give women equal rights to pass on their nationality – the study traces different ways in which norms are translated as activists negotiate the structures that make up the Lebanese context. Through ethnographic research, the process of norm translation was found to produce various filters, i.e., constellations of arguments put forward by activists as they seek to match international norms to the local context. The dissertation identifies six such filters and finds that these filters often have created faithless translations of international norms.^