The creation of a simulation model for closed loop vector controlled IPMSM drive performance enhancement and speed control is described in this book. By regulating the torque component of the current, the model achieves superior speed tracking and rapid dynamic response under transient and steady-state circumstances. The control technique is used by both the proportional and integrated controllers in the PI controller. Combining two independent controllers and reducing the shortcomings of each results in a more effective controller. To offer optimal speed operation in the face of environmental changes, load variations, and structural disturbances, the Fuzzy Logic Controller for PMSM must be properly constructed. Using MATLAB Simulink, this book gives a comprehensive simulation of an internal permanent magnet synchronous motor driving system.
Interior permanent magnet synchronous motors (IPMSMs) are used to improve machine performance and offer rapid torque response. IPMSMs are utilised in low and medium-power applications such as servos, robotics, variable-speed motors, electric vehicles, and computer peripherals. Because PM motor drives are becoming more popular, simulation systems capable of handling motor drive simulations are in great demand. Simulation tools can dynamically simulate motor drives in a visual environment, saving money and time and easing the development of new systems.
Table of Contents
Chapter 1: Introduction to Electric Vehicle
1.1.1 Challenges in EV
1.2 Permanent magnet synchronous motor (PMSM)
1.2.1 Principle of the PMSM
1.2.2 Mathematical Model of PMSM
1.2.3 Advantages of PMSM
Chapter 2: History and Literature Review
2.1 History
2.1.1 Electric Vehicle and Government
2.1.2 The Advent of Electric Vehicles: Electric Cars
2.1.3 The Future of Electric Cars in India
2.2 Literature Review
Chapter 3: Control schemes for PMSM
3.1 Scalar control
3.1.1 Volts/Hertz control
3.2 Vector control
3.2.1 Field Oriented Control
3.2.2 Direct Torque Control
3.2.3 Direct SelfControl
3.2.4 DTC–Space Vector Modulation
3.3 Methods to Control the PMSM
3.3.1 Using PI Controller
3.3.2 Using Fuzzy Logic Controller
Chapter 4: Direct Torque Control of PMSM
4.1 Block Diagram of Direct Torque Control
4.1.1 Current Transform
4.1.2 Flux Estimator
4.1.3 Sector Calculation
4.1.4 Torque Calculation
4.1.5 Torque and flux hysteresis comparators
4.1.6 Look-up Table
4.1.7 Voltage Source Inverter
4.2 Some problems with the Direct Torque Control
4.2.1 Torque ripple
4.2.2 Drift in Flux Estimator
4.3 DTC of PMSM using PI Controller
4.3.1 MATLAB implementation
4.3.2 Results of 3.75 KW (5 Hp) IPMSM
Chapter 5: Field Oriented Control of PMSM using PI Controller
5.1 Field Oriented Control
5.1.1 Transformations
Chapter 6: Field Oriented Control of PMSM using Fuzzy Logic Controller
6.1 Fuzzy Logic Controller
6.2 Basic Control Structure of PMSM using FLC
6.2.1 Fuzzy Logic Controller for Speed Control of PMSM
Chapter 7: Results and Discussion
7.1 Modeling of Speed Control of IPMSM
7.2 Machine modeling parameters
7.2.1 Program file
7.3 Membership function of Fuzzy Logic
7.4 Speed control outputs
Chapter 8: Conclusion and Future Scope
Chapter 9: References
Research Objectives and Key Topics
The primary objective of this work is to develop a simulation model for closed-loop, vector-controlled Interior Permanent Magnet Synchronous Motor (IPMSM) drives to enhance performance and achieve precise speed control, particularly under varying load conditions and disturbances.
- Development of simulation models for IPMSM drives using MATLAB Simulink.
- Implementation and comparison of PI controllers and Fuzzy Logic Controllers (FLC) for speed regulation.
- Application of Field Oriented Control (FOC) and Direct Torque Control (DTC) strategies.
- Optimization of speed tracking and dynamic response during transient and steady-state conditions.
- Evaluation of system performance against load variations and motor parameter uncertainties.
Excerpt from the Book
1.1.1 Challenges in EV
EVs provide a number of advantages, but along with those advantages come some implementation challenges. The design and operation of EVs are dictated by technological criteria. When designing an EV, a number of technological factors must be taken into account. Below are a few of them [12]:
(a) Lightweight material: Reducing the energy demand of the vehicle is the primary goal of conventional or electric vehicles. Electric components are used in EVs to replace a number of mechanical parts, and these electric components interact dynamically with the air and mechanical components of the vehicle [14]. The energy produced by the input will be used to power the heavy weight of the vehicles, which will require a significant amount of the energy required by the heavy weight of the parts. As a result, manufacturing of lightweight and energy-efficient automobiles is necessary. Several lightweight materials, such as glass, plastics, rubber, and special fibers, are used in the production of a vehicle. These materials reduce the significant weight of the vehicle. To reduce the thickness of sheet metal, advanced high-strength steels have been developed [14]. Aluminum and magnesium are used in the construction of bodies to reduce the total weight. There are many additional lightweight materials utilized in manufacturing, like natural fiber reinforced composites [12].
(b) Motor and their Suitability for EVs: Typically, dc motors, permanent magnet motors, induction motors, and switching reluctance motors are taken into consideration for traction applications. The primary benefit of a DC motor is straightforward and reliable control, although there are certain drawbacks, such as brush wear and heat losses in the rotor[16]. This problem was overcome by the induction motor as rotor losses can be significantly reduced by adopting a copper squirrel cage instead of aluminum. But it has disadvantages as it requires a small air gap to minimize reactive current and maximize efficiency. This IM is generally not well suited to high pole numbers, which makes them less desirable for lower speeds. Permanent motors show high efficiency and power density as compared to other motors and no ohmic losses occur, but they are very temperature sensitive and high
Summary of Chapters
Chapter 1: Introduction to Electric Vehicle: Discusses the rationale behind shifting to electric vehicles, the challenges in EV design, and the fundamental technical considerations for motor selection.
Chapter 2: History and Literature Review: Provides an overview of the history of EV adoption and summarizes previous studies regarding control techniques for permanent magnet motors.
Chapter 3: Control schemes for PMSM: Details common motor control strategies, focusing on the differences and applications of scalar control and vector control.
Chapter 4: Direct Torque Control of PMSM: Explains the principles and implementation of the Direct Torque Control method, including the use of hysteresis comparators and lookup tables.
Chapter 5: Field Oriented Control of PMSM using PI Controller: Describes the FOC strategy and its realization using proportional-integral controllers to manage stator current components.
Chapter 6: Field Oriented Control of PMSM using Fuzzy Logic Controller: Explores the integration of fuzzy logic into the control structure to handle complex, nonlinear dynamics for improved speed performance.
Chapter 7: Results and Discussion: Presents the modeling parameters and the simulation results comparing PI and fuzzy-based speed control approaches under various loading conditions.
Chapter 8: Conclusion and Future Scope: Summarizes the findings on control performance and discusses the potential for future hardware implementation of the studied controller.
Chapter 9: References: Contains the bibliographic sources and academic publications cited throughout the thesis.
Keywords
IPMSM, Permanent Magnet Synchronous Motor, Electric Vehicle, Speed Control, Field Oriented Control, FOC, Direct Torque Control, DTC, PI Controller, Fuzzy Logic Controller, FLC, MATLAB Simulink, Torque Ripple, Electrical Propulsion, Energy Efficiency
Frequently Asked Questions
What is the primary focus of this research?
This work focuses on the speed control of Interior Permanent Magnet Synchronous Motors (IPMSM) used in electric vehicles, aiming to improve driving performance through advanced control algorithms.
What are the main thematic areas covered?
The study covers EV technology challenges, motor modeling, various motor control schemes (FOC, DTC, Scalar Control), and the application of PI and Fuzzy Logic controllers for parameter-independent speed regulation.
What is the primary goal of the proposed control strategy?
The goal is to develop a robust, efficient speed control system that minimizes torque ripple and tracks reference speeds accurately, even when the motor encounters load fluctuations or system disturbances.
Which scientific methods are utilized in this work?
The research utilizes DQ-axis mathematical modeling, MATLAB/Simulink simulations for system analysis, and a comparative study of control techniques (PI vs. Fuzzy Logic) to evaluate dynamic response performance.
What is treated in the main body of the work?
The main body treats the theoretical foundation of PMSM control schemes, the specific implementation of Direct Torque Control and Field Oriented Control, the design of fuzzy logic membership functions, and the simulation results of speed controller performance.
Which keywords best characterize this research?
The research is best characterized by keywords such as IPMSM, Electric Vehicle, Speed Control, Field Oriented Control (FOC), Direct Torque Control (DTC), and Fuzzy Logic Control (FLC).
Why is the Fuzzy Logic Controller preferred over a traditional PI controller in certain scenarios?
Fuzzy logic is preferred because it can handle nonlinear and complex operating conditions without requiring precise mathematical models, offering parameter-independent control performance superior to fixed-gain PI controllers.
What specific problem does the non-uniform air gap PMSM design attempt to solve?
The non-uniform air gap design aims to minimize harmonics in the air gap flux density and reduce no-load back EMF, leading to smoother motor operation and improved efficiency for electric vehicle applications.
How does this study address the issue of integrator drift in a DTC system?
The study notes that integrator drift in the flux estimator can be mitigated by utilizing cascaded low-pass filters instead of pure integrators, ensuring more stable stator flux estimation.
- Quote paper
- Jigneshkumar Desai (Author), 2022, Speed Control of Interior Permanent Magnet Synchronous Machine, Munich, GRIN Verlag, https://www.grin.com/document/1277472
