IP Controller Research Articles

The improvement of field-oriented control performance for double stator IPMSM based on NFC powered by dual photovoltaic solar panels

This paper presents a proposed method Neuro Fuzzy Control (NFC)-Field Oriente Control (FOC)-Space Vector Modulation (SVM) using IP controller for a five-level NPC inverter-Double Stator Interior Permanent Magnet Synchronous Motor (DSIPMSM) supplied by two photovoltaic solar panels Maximum Power Point Tracking (MPPT) Fuzzy Sliding Mode Control (FSMC). The torque generated and the magnetic flux of the DSIPMSM may be independently controlled thanks to FOC, while IP controllers are used to minimize dq axis current errors to zero. A boost converter is made up of an inductor, a capacitor, and a separate input-output connection. A MPPT approach based on the FSMC algorithm is used to extract the maximum amount of energy from the solar panel while controlling the inverter duty cycle. The NFC tool is an extremely potent instrument that bridges the gaps created by the fuzzy logic controller. The proposed method’s worth was demonstrated by the simulation results in terms of durability, decoupling between the d-q axis, and dynamic performance.

Intelligent Proportional Controller Tuned by Virtual Reference Feedback Tuning and Fictitious Reference Iterative Tuning

A comparative study of two mixes of data-driven algorithms is proposed in this paper. The discrete-time second-order model-free control known as an intelligent Proportional (iP) controller is tuned considering Virtual Reference Feedback Tuning (VRFT) and the overall performance of the resulting algorithm iP-VRFT is compared with that of iP controller that is tuned considering Fictitious Reference Feedback Tuning (FRIT), an algorithm that is further referred as iP-FRIT. The comparison is carried out as far as the control systems with these two control algorithms are concerned. The purpose of the comparison study is to determine if VRFT and FRIT optimally determine the iP parameters such that both control system structures perform in the same manner. Both algorithm mixes are experimentally validated on the Tower Crane System equipment.

Dominant Instability Mechanism of VSI Connecting to a Very Weak Grid

In this paper, it is identified that unstable weak grid connection of voltage source inverters (VSIs) is dominantly caused by the current control. In particular, it is found the proportional gain <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$ k_p$</tex-math></inline-formula> of conventional PI controller cannot balance the grid voltage impact and damping capability especially when a very weak grid with short circuit ratio (SCR) <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$ &lt; $</tex-math></inline-formula> 1.3 is connected. This issue is solved in this paper by simply restructuring the PI controller as an IP controller for current control. This IP controller will not change the tuning method of current control and make this VSI indeed connect to a very weak grid with rated power injection.

Performance comparison of field oriented control based permanent magnet synchronous motor fed by matrix converter using PI and IP speed controllers

This paper focuses on modeling and closed-loop speed control of a three-phase Permanent Magnet Synchronous Motor (PMSM) fed by a Matrix Converter (MC) based on Field-Oriented Control (FOC). The model considers a set of a small input filter with supply impedance or cable effect, to improve the quality of the input current. A simplified form of the Venturini modulation algorithm is used for switching the matrix converter and a comparative study of two types of speed controllers is presented, namely a proportional integral (PI) and a proportional integral (PI) to improve performances of the drive system in transient and stable conditions. The overall drive system is simulated using Matlab/Simulink environment. The motor performance is evaluated under different operating conditions such as sudden changes in the load or changes in the angular speed reference. The results of the converter MC gives unlimited output frequency, sinusoidal input current and output voltage waveforms and unity input displacement factor. The IP controller is shown to achieve better performance of the speed control loop, with or without the load torque as compared to the PI classic controller.

LQG Controller for the Control of Active and Reactive Power of DFIG Operating Under Inter-turn Short Circuit Fault

Objective: This article presents a comparative study between the direct control for a Doubly- Fed Induction Generator (DFIG) in the healthy and faulty mode. Methods: First with classical IP controller then Linear Quadratic Gaussian (LQG) controller which propose an ensemble of Linear Quadratic Regulator and Kalman filter for the state estimation. The developed model of the machine allows the simulation of the inter-turn short circuit in the stator. The use of the LQG method provides very good performance for motor operation and robustness of the control law despite the external perturbation. The performance of the control is compared to a classical controller's PI. Results: The obtained results demonstrate that this type of controller allows the alleviation of the mechanical stress and it ensures good performances under fault, the continuity of this system is ensured. Conclusion: The simulation has been carried out using a MATLAB script and the results are presented.

A Fuzzy Unscented Kalman Filter in the Adaptive Control System of a Drive System with a Flexible Joint

This paper presents an application of an Unscented- and a Fuzzy Unscented- Kalman Filter (UKF and FUKF) to the estimation of mechanical state variables and parameters in a drive system with an elastic connection. The cascade control structure incorporating an IP controller supported by two additional feedbacks and suitable adaptation mechanism is investigated in this study. The coefficients of the control structure are retuned on the basis of the value of mechanical parameters estimated by filter. The effectiveness of the proposed approaches (classical and fuzzy) is researched through simulation and experimental tests.

Simple and Effective Digital Control of a Variable-Speed Low Inductance BLDC Motor Drive

This paper presents a simple digital control applied to a low inductance 5 kW/48 V three-phase brushless DC motor. Controlling the VSI as a full-bridge converter allowed the use of unipolar switching strategy, increasing the output equivalent frequency up to 100 kHz. The aforementioned strategy has made it possible to control the three-phase currents using a single deadbeat controller without a back-EMF feed-forward compensation. Stability analysis is performed to show that the proposed current control presents good transient response under reasonable parametric variations, as well as zero steady-state error. Precise regulation with no overshoot was obtained using an IP controller to regulate the motor speed. Experimental results are presented to validate the theoretical analysis and to compare with a conventional PI compensator and a predictive controller.

Design and Simulation of Variable Structure PI Controller

Aiming at the poor performance of IP control system in tracking continuously varying input signals, a variable structure PI controller was proposed, which can eliminate overshoot of step response and track continuously varying input signals without error. The controller performs as an IP controller for step input signals and a PI controller for continuously changing input signals. Firstly, the control performance defects of traditional IP controller were analyzed, and then the structure of variable structure PI controller was built. Finally, the simulation results show that the VSPI and IP control systems have the same control effect when the step signal is input. Compared with PI control system, the VSPI and IP control systems not only have no overshoot but also have better response stability. When the input is a continuous sinusoidal signal, VSPI and PI can track the input signal almost without error, and the control effect is obviously better than IP control. The anti-jamming performance of the system is inversely proportional to the bandwidth value, but has nothing to do with the control mode.

Using the Five-Level NPC Inverter to Improve the FOC Control of the Asynchronous Machine

&lt;span lang="EN-US"&gt;Many researches have been dedicated to develop the induction motor drive control strategy used on the railway traction applications. In this paper we propose to investigate and to improve the electric locomotives by using a Field Oriented Control (FOC) strategy of induction motor drive. This induction motor can be powered by a five-stage neutral point inverter controlled by sinusoidal pulse width modulation (SPWM) due to good quality for output voltage and The use of fast switches. Both conventional and improved locomotives are simulated in Matlab/Simulink and compared in open loop conditions and closed loop conditions using IP controller, in term of torque response, current harmonic distortions and rotor speed response.&lt;/span&gt;

Design and Simulation DFIM Driven Electrical Vehicles Based on IP Controller

The environment friendly blessings of Electrical Vehicles (EV), human beings are becoming extra involved in the use of them alternatively than the usage of mechanical differentials. In electrical vehicles distinct sorts of electrical machines are used among them DFIM is used in this work. The challenging work is to design of a controller as the output of the motor has to match with vehicle input. So, far, most of the mentioned works have utilized Proportional-Integral (PI) controllers as the speed control. But, the negative aspects of PI controller are properly known, as its design depends on the specific motor parameters and the overall performance is sensitive to system disturbances. The fundamental goal of this paper is to replace the conventional PI controller by means of an IP controller which is successful of dealing with exceedingly non-linear DFIM motor for high performance application in Electrical Vehicle. The effectiveness of designed IP controller of an electrical differential for an EV system is evaluated through Matlab/Simulink software. In simulation work different road conditions for EV are considered. After the simulation the designed controller is found to be strong for the speed control application of Electrical Vehicle.

Modeling and comparison of IP and fuzzy-pi regulators of speed control of DFIM for supply of power to the electrical network

This paper deals with a comparison between a fuzzy logic controller and a conventional IP controller utilized for speed control with a direct stator flux orientation control of a doubly fed induction. The effectiveness of the proposed control strategy is measured under diverse operating conditions such as of reference speed and for load torque step changes at nominal parameters and in the presence of parameter variation. Results obtained from simulation indicte that the fuzzy logic controller is more robust than a conventional IP controller against parameter variation and uncertainty, and is less sensitive to external load torque disturbance with a fast dynamic response; the stator side power factor is controlled at unity level. Then, an intelligent artificial fuzzy control of a wind energy system based on DFAM for supply of power to the electrical network. Its simulated performances are then compared to those of a classical PI controller. Specifically fuzzy systems are created to overcome the disadvantages of fuzzy systems. Results obtained in Matlab/Simulink environment show that the fuzzy control is more robust, have superior dynamic performance and hence found to be a suitable replacement of the conventional PI controller for the high performance drive applications. Key words : Doubly fed asynchronous machine (DFAM); Field oriented control; Fuzzy control, Fuzzy PI controller, conventional IP controller.

IP Controller Design for Uncertain Two‐Mass Torsional System Using Time‐Frequency Analysis

With the development of industrial production, drive systems are demanded for larger inertias of motors and load machines, whereas shafts should be lightweight. In this situation, it will excite mechanical vibrations in load side, which is harmful for industrial production when the motor works. Because of the complexity of the flexible shaft, it is often difficult to calculate stiffness coefficient of the flexible shaft. Furthermore, only the velocity of driving side could be measured, whereas the driving torque, the load torque, and the velocity of load side are immeasurable. Therefore, it is inconvenient to design the controller for the uncertain system. In this paper, a low‐order IP controller is designed for an uncertain two‐mass torsional system based on polynomial method and time‐frequency analysis (TFA). IP controller parameters are calculated by inertias of driving side and load side as well as the resonant frequency based on polynomial method. Therein, the resonant frequency is identified using the time‐frequency analysis (TFA) of the velocity step response of the driving side under the open‐loop system state, which can not only avoid harmful persistent start‐stop excitation signal of the traditional method, but also obtain high recognition accuracy under the condition of weak vibration signal submerged in noise. The effectiveness of the designed IP controller is verified by groups of experiments. Experimental results show that good performance for vibration suppression is obtained for uncertain two‐mass torsional system in a medium‐low shaft stiffness condition.

Novel Observer Scheme of Fuzzy-MRAS Sensorless Speed Control of Induction Motor Drive

This paper presents a novel approach Fuzzy-MRAS conception for robust accurate tracking of induction motor drive operating in a high-performance drives environment. Of the different methods for sensorless control of induction motor drive the model reference adaptive system (MRAS) finds lot of attention due to its good performance. The analysis of the sensorless vector control system using MRAS is presented and the resistance parameters variations and speed observer using new Fuzzy Self-Tuning adaptive IP Controller is proposed. In fact, fuzzy logic is reminiscent of human thinking processes and natural language enabling decisions to be made based on vague information. The present approach helps to achieve a good dynamic response, disturbance rejection and low to plant parameter variations of the induction motor. In order to verify the performances of the proposed observer and control algorithms and to test behaviour of the controlled system, numerical simulation is achieved. Simulation results are presented and discussed to shown the validity and the performance of the proposed observer.

Analysis of Changes in Temperature and Irradiance to DC-DC Buck Converter Based on IP Controller for Solar Power Plant Application

This paper presents a mathematical model of photovoltaic with buck converter to analyze the voltage and current as a result of radiation and temperature changes as the input signal. Photovoltaic simulator models created using the C programming integrated with Matlab Simulink. The IP controller is used to control the current of a buck converter with the reference current from the dynamic model of photovoltaic. The control signal from the IP controller is used for generating a PWM signal, which is used to drive the IGBT gate of the buck converter. Input of irradiance and temperature are given to the photovoltaic simulator. Moreover, the current and voltage of the buck converter are used as a feedback to the photovoltaic simulator. This experiment is run through the system in real time and the simulation results show that changing in radiation has more significant effect on the output voltage of a solar power system compared to changing in temperature.

New Control Scheme for Combined Regenerative and Mechanical Brakes in Electric Vehicles

Braking conditions could generate energy that can be reused again for energy conservation. The purpose of regenerative braking in electric vehicles is to use the excess energy from the braking system and convert it to electricity and then store it for further utilization. But when the back current is too high it can cause overvoltage which can result in broken electrical components. Therefore, a voltage limiter is required to limit the q-axis stator current which keeps DC link voltage at a certain value. However, this voltage limiter causes a decrease in the braking torque and actual speed that does not follow the reference speed. To overcome this problem, the mechanical brake should be combined with a regenerative brake in electric vehicles, so the vehicle speed can always follow the reference speed. A new control scheme for combining a regenerative braking system with mechanical braking system to overcome the overvoltage problem in electric vehicle is proposed in this paper. Using a combination between regenerative and mechanical braking, the actual speed could follow the reference speed even when voltage limiter is active. The effectiveness of the control scheme is validated through simulation. Actual speed could follow the speed reference with delays in about 1.5s2.5s and by varying gain in IP controller, the delay could be reduced to become about 1 second, so the braking will be more accurate.

基于NiosII的液晶屏控制器SOPC设计

In order to realize SOPC controller design on TFT-LCD,IP core of TFT-LCD controller based on Nios II was designed by FPGA-EP4CE6F17C8and Verilog language.TFT-LCD controller was consisted of the Nios II soft-core processor,SDRAM controller,JTAG UART,LCD controller,Avalon bus for a full-color AT070TN84 TFT-LCD.Nios II soft-core processor was designed as core,IP cores such as SDRAM controller,TFT-LCD controller were connected to Nios II by Avalon bus,IP core design of TFT-LCD controller was mainly completed by such modules as the Avalon bus interface module,DMA module,FIFO module and the timing generator module. The color graphics display control wtih 800×480resolution,16bit color depth was achieved.Display experiment showed it was of stable,clear images,rich colors,no splash screen,wrong line and other phenomena,good visual effect.Design was of good configurability,reusability and portability.Practice proved that the SOPC design was effective.The design principle,control system simulation and experiment method,process were presented in the paper,relevant links of IP controller core design was mainly focused on at the same time.

Energy Model Based Direct Torque Control of Induction Motor Using IP Controllers

This paper deals with direct torque control of an induction motor (IM) with constant switching frequency. The desired torque is obtained from the speed controller which is designed using the IP controller. Decoupling control of torque and flux is developed based on the energy model of IM using the IP controller strategies. The desired d-axis and q-axis stator voltage components are obtained from the designed controller, which decouples torque and flux. The constant switching frequency can be applied using space-vector pulse width modulation, since the desired stator voltage can be known from the decoupling torque and flux controllers. In order to achieve stable operation of the proposed IP controllers, the gains of the controllers are chosen by setting the poles in negative (left) half of s-plane and by choosing the rising time for the response of the step function. The proposed controller was verified in simulations using Matlab/Simulink and results have proven excellent performance. It was found that the proposed IP controllers can provide excellent performance to track the desired torque and speed and to reject the disturbance of load.

UPFC Control based on New IP Type Controller

This paper presents the application of Unified Power Flow Controller (UPFC) in order to simultaneous control of power flow and voltage and also damping of Low Frequency Oscillations (LFO) at a Single-Machine Infinite-Bus (SMIB) power system installed with UPFC. PI type controllers are commonly used controllers for UPFC control. But for the sake of some drawbacks of PI type controllers, the scope for finding a better control scheme still remains. In this regard, in this paper the new IP type controllers are considered as UPFC controllers. The parameters of these IP type controllers are tuned using Genetic Algorithms (GA). Also a stabilizer supplementary controller based UPFC is considered for increasing power system damping. To show the ability of IP controllers, this controller is compared with classical PI type controllers. Simulation results emphasis on the better performance of IP controller in comparison with PI controller.

Comparison between Fuzzy Sliding Mode and Traditional IP Controllers in a Speed Control of a Doubly Fed Induction Motor

Many industrial applications require new control techniques in order to obtain fast response and to improve the dynamic performances. One of the techniques users, fuzzy sliding mode control which is characterizes by robustness and insensitivity to the parameters variation. In this paper, we present a comparative study of a direct stator flux orientation control of doubly fed induction motor by two regulators: traditional IP controller and fuzzy sliding mode. The three regulators are applies in speed regulation of doubly fed induction motor (DFIM). The robustness between these two regulators was tested and validated under simulations with the presence of variations of the parameters of the motor, in particular the face of disturbances of load torque. The results show that the fuzzy sliding mode controller has best performance than the traditional IP controller.

Speed Control of a Doubly Fed Induction Motor using Fuzzy Logic Techniques

This paper presents a comparison between a fuzzy logic controller and a conventional IP controller used for speed control with a direct stator flux orientation control of a doubly fed induction motor. The effectiveness of the proposed control strategy is evaluated under different operating conditions such as of reference speed and for load torque step changes at nominal parameters and in the presence of parameter variation. Simulation results show that the fuzzy logic controller is more robust than a conventional IP controller against parameter variation and uncertainty, and is less sensitive to external load torque disturbance with a fast dynamic response.