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This paper introduces a new technique for efficiency optimization of 6-phase induction motor (6PIM) drive, based on fuzzy online search control (SC) method. The modified SC algorithm does not require extra hardware and is insensitive to motor parameters. The results are compared to classic loss model control (LMC) efficiency optimization algorithm in healthy and faulted operational mode due to up...
The liver is the central metabolic organ which regulates several key aspects of lipid metabolism. The liver changes with age leading to an impaired ability to respond to hepatic insults and an increased incidence of liver disease in the elderly. Apolipoprotein E (ApoE) null mice have proved to be a very popular model to study spontaneous atherosclerosis, but recently it has been demonstrated that...
In this paper, the parameters choice of a fuzzy logic regulator used to control the position of a six-phase induction motor for a car steering is performed. Indeed, with the presence of an electronic stability controller (ESC), the braking on the four wheels is controlled and the correction of the direction to adjust the path of the vehicle is also made. Obviously, the position control should never...
This paper presents a new approach to the sensorless speed control of six-phase induction machine (6PIM). The new technique uses an Adaptive Neural Fuzzy Inference Systems (ANFIS) as a rotor speed estimator to avoid using mechanical sensor. This makes the reference model free of pure integration and less sensitive to stator resistance variations. The ANFIS has been trained offline to estimate the...
In this paper, a fuzzy PI (FPI) controller tuned using genetic algorithms (GA) is proposed for position control of six-phase induction motor (6PIM). The performance and the robustness of the control system are tested for healthy and several faulted operational modes and rotor inertia variations. The FPI controller presents many advantages such as satisfactory control performance under a wide range...
This paper presents a new approach to the sensorless position control of six-phase induction machine (6PIM). A fuzzy-PI (FPI) system has been employed to estimate the rotor position and avoid using mechanical sensor. Also, high-accuracy positioning of a 6PIM rotor can be obtained using such FPI system in model control loops. The input-output scale factors of all FPI systems are tuned using genetic...
In this paper, a fuzzy PI (FPI) controller is proposed for position control of six-phase induction motor (6PIM). The fuzzy controller is tuned by using the genetic algorithm so that a high performance of the overall system's response can be achieved. The performance and the robustness of the control system are tested for fully loaded and widely load inertia variations. The proposed scheme is compared...
It is well-known that nephrotic syndrome and chronic renal failure are associated with lipid and lipoprotein abnormalities. For a long time, it has been thought that hyperlipidemia is a secondary and insignificant condition of these renal injuries. Recently, it has been shown that dyslipidaemia may contribute to the development and progression of chronic kidney disease. Apolipoprotein E (apoE) null...
The harmonic state-estimation (HSE) method appears to be effective but its applicability has yet been fully verified using actual data in power systems. Particularly in Iran, there has been no verification of the applicability of the method in actual power systems. In this paper, the conventional weight least square method and a new singular decomposition method have been applied on 132KV and 230KV...
In this work, a duty ratio control scheme for inverter fed six-phase induction machines using the direct torque control method based on a fuzzy inference system is presented. A six-phase induction machine has six windings spatially phase shifted by sixty electrical degrees. An improved steady state torque response has been achieved by using the duty ratio control and it has shown less torque ripple...
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