Self-tuning fuzzy logic speed controller based on model reference adaptive control for induction motor drive

Fuzzy Logic Control (FLC) are widely used in high-performance motor drives applications especially as the speed controller due to its capability to handle non-linear uncertainties, independent of plant models and rule-based algorithm. However, FLC with constant parameters (CPFL) may experience performance degradation when the system operates away from the design point and encounters parameter variation or load disturbance. Therefore, this project is purposed to design Self-Tuning Fuzzy Logic Controller with Model Reference Adaptive Control (ST-MRAC) for Induction Motor (IM) drives. The proposed self-tuning mechanism-based FLC (ST-MRAC) is able to adjust the input change of error and output scaling factor of the main speed FLC continuously. This process enhances the accuracy of the input universe of disclose and crisp output simultaneously. This research begins by examining the performance of CPFL based on the standard and simplified rules for induction motor drive. The standard CPFL for the speed controller comprises 5x5 matrix rules that are tuned to achieve the best performance. A simplified fuzzy rule technique is used to replace the 25 rules with the dominance 7 rules are applied in order to reduce the computational burden. Based on the simplified 7 rules results, the self-tuning mechanism is designed for this proposed controller and as a result, only 14 rules are used for the ST-MRAC. All simulations worked are executed by using Simulink and Fuzzy tools in MATLAB software. Finally, an experimental investigation is carried out to validate the simulation results with the help of the digital signal controller board dSPACE DS1103 based on the induction motor drives system. The effectiveness of the proposed controller is examined by conducting a comparative analysis between CPFL and ST-MRAC over wide range operations, either in forward and reverse conditions, load disturbance and inertia variations. Based on the results, ST-MRAC has shown superior performance in transient and steady-state conditions in terms of various performance measures such as overshoot, rise time, settling time and recovery time over wide speed range operation. Quantitative performance comparisons are also conducted based on IAE and ITEA index. In comparison to CPFL, the proposed ST-MRAC improved on average 41.3% and 14.5 % for IAE and ITEA respectively in all speed operations

Assessment of empirical conversion methods for producing 1-min integration time rainfall rate in Malaysia

This paper presents assessments of empirical conversion methods in obtaining cumulative distribution function of rainfall rate at 1-minute integration time. From collected measured data in Kuala Lumpur, cumulative distributions of rainfall rate at various integration times were compiled. Four conversion methods were selected in the assessment namely: Segal, Burgueno, Ismail et al and Polynomial. The generated 1- minute statistics using the mentioned four empirical conversion methods are then compared with measured statistics, in order to test its validity. Based on the assessment, it can be suggested that the Ismail et al and Polynomial conversion methods seem to be capable of producing rainfall rate statistics at 1-minute integration time with close approximation to the measured values

Assessment of ITU-R predictions for ku-band rain attenuation in Malaysia

This paper presents findings on the assessments carried out pertaining to ITU-R’s predicted rain attenuations. The predictions are put against measurements acquired from a campaign in Kuala Lumpur, Malaysia. The investigation tasks involve generation of annual cumulative distributions using assorted ITU-R recommendations as well as from measured data collected for a period of 20 months. Predicted values generated using established ITU-R rain attenuation prediction models are then compared with measurements values, in order to validate the applicability and effectiveness of each model. Based on the evaluation, it can be suggested that the ITU-R P.618-5 recommendation seems to be a befitting prediction model and capable of generating satisfactory prediction for Malaysia

Experimental Simplified Rule Of Self Tuning Fuzzy Logic-Model Reference Adaptive Speed Controller For Induction Motor Drive

Fuzzy logic controller (FLC) has shown excellent performance in dealing with the non-linearity and complex dynamic model of the induction motor. However, a conventional constant parameter FLC (CPFL) will not be able to provide-good coverage performance for a wide speed range operation with a single tuning parameter. Therefore, this paper proposed a self tuning mechanism FLC approach by model reference adaptive controller (ST-MRAC) to continuously allow to adjust the parameters. Due to real time hardware application, the dominant rules selection method for simplified rules has been implemented as part of the reducing computational burden. Experiment results validate a good performance of the ST-MRAC compared to the CPFL for the speed performance in terms of the wide range of operations and disturbance showed remarkable performance

Experimental investigations into the behavior of scaling factors in a fuzzy logic speed control induction motor with model reference adaptive control

This paper presents a self-tuning fuzzy logic speed controller (FLSC) with model reference adaptive control (MRAC) for an induction motor (IM) drive system. The MRAC is examined by output scaling the factor tuner for optimum motor speed performance. A detailed investigation is carried out on the scaling factor control of the input change error and main FLSC output increment. This proposed method utilizes seven simplified rules of the 5 × 5 matrix membership functions to minimize the computational burden and memory space limitations. All simulation work is conducted using Simulink and Fuzzy Tools in the MATLAB software and the experimental testing with the aid of a digital signal controller board, dSPACE DS1103. Based on the results, the output scaling factor makes a more significant impact on the performance effect compared to the input error scaling factor. The input change error and output SF also exhibit similar behavior, indicating that a large range of UoD tuners works well in terms of capability load rejection while a small range of UoD tuners performs well in terms of rise time. The analysis includes no-load and load tests to ascertain the overshoot percentage, rise time, and settling time for transient and steady-state conditions

Assessment of conversion methods to acquire 1-minute integration time rain intensity statistic

This paper presents some preliminary findings of assessments carried out pertaining to the applicability of rain intensity conversion methods. Five conversion methods were identified in this study namely the ITU-R, Segal, Burgeuno, Chebil-Rahman and Khairolanuar et al. 1 year of rain intensity data were acquired from the Malaysian Meteorological Department (MMD) and utilized in the investigation. The research methodology involves productions of annual rain intensity cumulative distributions at 1-minute integration time using mentioned conversion methods. Predicted values established by ITU-R are used as benchmark. The values are then compared with values acquired using other conversion methods; in order to validate the applicability and effectiveness of each method. Based on the evaluation, it can be observed that the Khairolanuar et al. method seems to be a befitting conversion method and capable of generating values with smallest percentage difference

Classification of rain types for rain attenuation prediction method improvement based on radar information in tropics

An investigation has been embarked in classifying the rain types. The Terminal Doppler Weather Radar (TDWR) and rain gauge system are currently installed in Bukit Tampoi, Malaysia, and their data are used in this study. Sampled radar data and rain gauge data collected from January to December 2009 were analyzed. The research methodology involves 2 steps. The first step is the identification of precipitation events within the said period. The second step is “separation” process based on the column reflectivity value at desired location. From our analysis, 32 event data are classified as convective and 175 event data are classified as stratifor

Comparison of ITU-R predicted rainfall rates against measured data in Malaysia

This paper presents assessments of ITU’s predicted rainfall intensities against measurements acquired from a campaign in Kuala Lumpur, Malaysia. Data for a period of twenty months were collected between 1996 and 1998. The statistical analyses involve generation of annual cumulative distributions. Predicted values generated using established ITU- R rainfall intensity prediction models are compared with measurements, in order to test the validity of each model. Based on the comparison between the available rainfall intensity models, it can be suggested that the locally measured rainfall intensity annual cumulative distribution falls within the ITU-R climatic zone P, as suggested by the earliest ITU-R P.837-1 recommendation

Assessment of ITU-R conversion method for 1- minute integration time of precipitation intensity in Malaysia

A study has been embarked with the aim to identify the best formulation capable of obtaining statistics of precipitation intensity at 1-minute integration time from longer integration times. Few years back, the ITU-R has proposed a conversion method claimed to be capable of generating precipitation intensity at 1-minute integration time. Measurement data of precipitation intensities collected in Kuala Lumpur, Malaysia between 1996 and 1998 has enabled the compilation of statistics at several integration times of interest. The generated 1-minute statistics using ITU-R method were then compared with those of measured in order to assess the method’s dependability. This paper highlights the findings drawn from the evaluation process. It can be suggested that the ITU-R’s conversion method appears to be capable of producing consistent statistics for 1-minute integration time from various other integration times. In addition, the paper also proposes new values for constants in the conversion formula that has been derived based on measured data