Observer-based fault detection for a motor drive system

Introduction

A motor drive system works by controlling and regulating the power that is fed power into the drive system. The process can include controlling the speed, direction, acceleration, deceleration, and torque in the motor drive system. It can also be used to control the position of the motor shaft in some applications. However, the performance of the motor drive systems can be improved by designing a set of techniques for introducing a systematic approach for adjusting the system's controllers in real time. The technique is useful for maintaining the desired level of performance of the control system by considering the parameters of the motor drive system (Guo et al., 2016). Moreover, real-world software systems rely heavily on events because every state change occurring in a motor drive system comprises an event. Utilizing the observer-based approach to detect fault entails monitoring a system and identifying when a fault has occurred. According to Eissa et al., (2021), it also entails pinpointing the type of fault and its location. The Observer design pattern is modeled on the event-driven programming paradigm that makes it easy to design patterns and define the faults in a system. The approach also makes it possible to achieve clear segregation between different actors in an event-driven system.

As a result, the paper will present an interim report that will focus on analyzing the observer-based fault detection for a motor drive system. The report will be aimed to demonstrate an in-depth understanding of the principles of observer-based fault detection and its application in motor drive systems. The process will include developing a mathematical model, a state space model, and a Simulink model of the motor drive system. It will also include designing and implementing an observer-based fault detection system using state observers and residual generation. The analysis will also Identify potential faults and simulate these faults on the Simulink model. The developed observer-based method through simulations will be employed to detect the simulated faults (He & Luan, 2021). The last part of the analysis will be focusing on providing recommendations for future work and improvements to the observer-based fault detection system.

The basic idea of a model-based FD system for a process can be demonstrated where a process model is running parallel to the physical process and is driven by the same inputs. In fault-free cases, when the process model is perfect and has no disturbances, the process outputs estimated by the model should follow the measured process outputs. In such cases, the residual which is the difference between the estimated values and the measured values should be zero. The procedure to be utilized when creating the estimation and building the residual is called a residual generation (Guo et al., 2016). The residual generator to be utilized by the research will thus include the process model and the comparison functions. The investigation will be based on the fact that the residual will be divergent from zero if there is a default in the process that occurs in the motor drive system. The residual is always influenced by the model defaults and disturbances in a motor drive system. Thus, the residual will be used to present important information about faults in the motor drive system (Eissa et al., 2021).

Motivation

Due to growing demands on improved system performance and minimum costs, the degree of automation and complexity of motor drive systems are continuously increasing today. In such complex systems, faults or abnormal changes in individual parts can occur and result in economic dropout or system damage (Li, 2016). Therefore, ensuring the system's safety and reliability has become a significant problem that requires the designing of automatic motor drive systems (He & Luan, 2021). Early detection of faults is vital in technical systems which can be done using model-based fault detection technology. The observer-based technique was selected from the existing model-based FD approach which was developed in the framework of the well-established modern control theory.

Contribution

The research aims to contribute to the advancement of motor drive systems which are highly used in the current world. It will be carried out efficiently after a thorough examination of the analyses and guidelines for the growth of society and the motor drive industry. The research will also contribute to the research in future work and improvements of the observer-based fault detection system.

Aim and Objective

Aim: the research will focus on investigating the principles of observer-based fault detection and its application in motor drive systems.

Objectives:

1. To develop a mathematical model a state space model and a Simulink model of the motor drive system.

2. To design and implement an observer-based fault detection system using state observers and residual generation

3. To detect the simulated faults using the developed observer-based method through simulations

4. To provide recommendations for future work and improvements of the observer-based fault detection system.

Structure of the Report

The respective element of the project is inclusive of the following structure of the study that also helps the researcher to perform effective findings towards the correct direction of working. The structure and layout of the report are based on investigating the development of adaptive control and related techniques to improve the efficiency of motor drive systems. The layout of the research is divided into three sections as presented below:

Chapter 1: Introduction

The introduction will serve as the first chapter that will be centered on providing a detailed assessment of elements that will be included in the final report. The elements will include motivation, overview, and contribution of the given study. It will also include the definite aims and objectives of the research document.

Chapter 2: Literature review

The literature review will cover a detailed analysis of the research topic which links the point of view of different authors or related articles being published online. The provided chapter guides the findings of the research to explore the existing findings from different authors. The researcher of the report by following the pattern of the literature review will guide effective findings over the research on improving the performance of a motor drive system.

Chapter 3: Detailed plan for the remainder of the project

The section will cover the research that is based on an evaluation of the time plan, which includes a full analysis of the inquiry activities and the implementation of the plan. The section will be useful in keeping track of the project activities. It will also be useful in keeping the right track of the project aiding towards the correct direction of findings and solving the problems raised in the research topic.

 

 

 

 

 

References

Eissa, M. A., Sali, A., Ahmad, F. A., & Darwish, R. R. (2021). Observer-based fault detection approach using fuzzy adaptive poles placement system with real-time implementation. IEEE Access, 9, 83272–83284. https://doi.org/10.1109/access.2021.3086040

Guo, F., Ren, X., Li, Z., & Han, C. (2016). Observer-based fault detection for a dual-motor driving servo system. 2016 35th Chinese Control Conference (CCC). https://doi.org/10.1109/chicc.2016.7554368

He, S., & Luan, X. (2021). Observer-based robust fault detection for fuzzy multi-model jumping system. Multi-Model Jumping Systems: Robust Filtering and Fault Detection, 117–137. https://doi.org/10.1007/978-981-33-6474-5_7

Li, L. (2016). Design of Weighted Fuzzy Observer-based FD Systems. Fault Detection and Fault-Tolerant Control for Nonlinear Systems, 89–114. https://doi.org/10.1007/978-3-658-13020-6_6