Speed Control of Three Phase Induction Motor Using Universal Bridge and PID Controller

Because of its low maintenance and robustness, induction motors have many applications in the industries. Most of these applications need fast and smart speed control system. This paper introduces a smart speed control system for induction motor using fuzzy logic controller. Induction motor is modeled in synchronous reference frame in terms of dq form. The speed control of induction motor is the main issue achieves maximum torque and efficiency. Two speed control techniques, Scalar Control and Indirect Field Oriented Control are used to compare the performance of the control system with fuzzy logic controller. Indirect field oriented control technique with fuzzy logic controller provides better speed control of induction motor especially with high dynamic disturbances. The model is carried out by using Matlab/Simulink computer package. The simulation results show the superiority of the fuzzy logic controller in controlling three-phase induction motor with indirect field oriented control technique.

Recently, many studies have been performed for the variable speed control of an induction motor. Direct torque control (DTC) is an emerging technique for the variable speed control of PWM inverter driven induction motors. DTC allows the direct control of stator flux and instantaneous torque through a simple algorithm. In this paper, an ASIC design technique using VHDL is applied to DTC based speed control of an induction motor. ASIC for DTC based speed control is designed through the descriptions of coordinate transformation, speed controller stator flux and torque estimator, stator flux and torque controller stator flux position detector, FSM (finite state machine) and inverter voltage switching vector. Finally the above system has been implemented on the FPGA (XC4052XL-PG411). Simulation and experiments have been performed to verify the performance of the designed ASIC.

Induction motor is a cast of alternating current motor where charge endures allotted to the rotor close-at-hand deputation of conductive charge. These motors are broadly applied in industrial claim due to they are arduous along with adhere no contacts. The speed controller of deltoid phase induction motor is applied to alleviate the aberration of speed. The central constructivist of this paper is to accrue the performance of speed sensorless control of three phase induction motor. To increase its performance, this paper presents a modified method for speed controller of an indirect vector-controlled induction motor drive using cloud computing technique. Our methodology depends on speed sensorless scheme to obtain the speed signal feedback; the speed estimator is based on model reference adaptive control that uses the stator current and rotor flux as state variables for estimating the speed. In this method, the stator current error is represented as a function of first degree of the estimated speed error. An analysis and simulation of the tried algorithm is birthed and applied easing a TMS320C31 floating-point notational alert Processor. And accumulate the action of the three phase induction motor we conceived our appraisals affixed to the accountant based on cloud computing tactics. This intelligent policy uses the guidelines of the speed controller efficiently. Simulation and experimental results depicted that the motor speed is decelerated articulately to destine its illusion apprise without above and inferior smack and with about zero steady state error. The apprised accelerate alert and its dispatching buoy amassed off line from burlesque. After effects display an advantageous affinity among the accounted speed alert and it's dispatching allocated as well as aped speed flares.

This paper propose about using PID control system based on Kp, Ki, and Kd parameter determination with scheduling process from fuzzy logic. Control system is used to arrange speed of three phase induction motor using IFOC method. This method can be minimized the main problem from speed control of induction motor which is a transient condition. The robustness validation from this system use testing process of dynamic speed which is compared with the other control system to know the system performance in transient condition such as (rise time, overshoot, undershoot and settling time). The result shows using the proposed system has better performance responses which is requiring 0.001 seconds time in transient condition up to steady state condition without overshoot and undershoot problem.

Induction motor is very popular in industrial applications due to simple construction, low cost, and cheap maintenance costs. Speed control of induction motor requires frequency and magnitude voltage control. Some Volt/Hz control strategies are applied in speed control of induction motor with various methods such as direct torque control, vector control, harmonic elimination. These methods are very popular but require complex calculations. This paper discusses a simple method to operate an induction motor using the SPWM Volt/Hz, by using a lookup table method. This method contains important numbers as a reference for sinusoidal reference signal used to produce SPWM signal by comparing reference signals and triangular wave carrier signals from dsPIC microprocessor. SPWM Volt/Hz is used because the manufacturing process does not require complex calculations, easy to operate and reliable for induction motor speed operations. To prove that SPWM Volt/Hz can apply on speed control of induction motor, analysis simulation and experimental works were done. They show the proposed control strategy is capable to operate induction motor at the proper speed.

This paper elucidates the control mechanism employed for the speed control of three phase induction motors used in a sand manufacturing unit. Moreover, this plant uses three phase induction motors for its various operations and has a production rate of around 125-160 tons of sand per hour. These motors use variable frequency drives (VFD) which are based on programmable logic controllers (PLC). The paper expounds the operation of the plant in-depth, the drawbacks of using aforementioned method of speed control and the need for choosing other speed control strategies so as to improve the speed control of induction motors and thus increases the output of the plant.

Fuzzy controlled sensorless speed control of induction motor with MRAS based approach is proposed in this paper. Fuzzy logic controller is expected to be better controller as compared to traditional PI and PID controllers. The mathematical modeling of the MRAS module with inputs from induction motor stator voltages and currents taken as feedback to estimate the speed of the machine is described. The speed control of the induction motor is achieved by IRFOC without speed sensor at the motor. Induction motor speed and electromagnetic torque comparison with PI and FIS controllers integrated into the structure are represented by graphs plotted with time as a reference. Fuzzy controller is modeled with 49 rule base including two inputs and one output variable. All the modules design and the analysis is carried out in MATLAB software with ‘powergui’ toolbox for generating graphs.

Induction motors are typical motors with a constant speed that do not function at synchronous rates. Industrial mechanical loads must not only be powered but also operated at the specified velocity. Consequently, it is necessary to have ways of controlling the speed of induction motors. Multiple techniques exist for regulating the velocity of an induction motor. The objective of this paper is to critically examine the existing literature on different speed control techniques and evaluate their effectiveness in the presence of harmonics. Specifically, the focus will be on the utilization of SPWM inverter, harmonics reduction, and speed-torque characteristics to identify the most efficient methods. Additionally, the paper aims to explore strategies for minimizing odd harmonics through the use of an inverter.

This paper proposes a design process of speed controller for induction motor using tabu search algorithm. The proposed process has two parts. The first part is optimization of the initial parameters of input-output. And the second part is changing parameters of input-output using tabu search. Proposed tabu search is improved by neighbor solution creation using Gaussian random distribution. In order to see the usefulness of the proposed method, it is applied to the sensorless speed controller of an AC induction motor system. The performance of this approach is verified through simulation.

This paper proposes the speed control of induction motor (IM) fed by wind turbine using imperialist competitive algorithm (ICA). The wind turbine plays as a prime mover to a connected direct current (DC) generator. Pulse width modulation (PWM) is used to get three-phase alternating current (AC) voltage from the output of DC generator. The proposed design problem of speed controller is established as an optimization problem. ICA is adopted to search for optimal controller parameters by minimizing the time domain objective function. The behavior of the proposed ICA has been estimated with the behavior of the conventional Ziegler–Nichols (ZN) and genetic algorithm (GA) to prove the superiority of the proposed ICA in tuning proportional plus integral (PI) controller. Also, the behavior of the proposed controller has been tested over a wide range of operating conditions. Simulation results confirm the better behavior of the optimized PI controller based on ICA compared with other algorithms.

A global artificial neural network (ANN), algorithm for on-line speed control of a three-phase induction motor (IM), is proposed. This algorithm is based on the optimal preview controller. It comprises a novel error system and vector control of the IM. The IM model includes three input variables, which are the stator angular frequency and the two components of the stator space voltage vector, and three output variables, which are the rotor angular velocity and the two components of the stator space flux linkage. The objective of the proposed algorithm is to achieve rotor speed control, field orientation control and constant flux control. In order to emulate the characteristic of the optimal preview controller within global and accurate performance system, a neural network-based technique for the on-line purpose of speed control of IM, is implemented. This technique is utilized based on optimizing the speed control problem using the optimal preview control law. The numerical solution is used to train a feed ANN using the radial basis method. Successive trained data is utilized to obtain global stability operation for the IM over the whole control intervals. This data includes, several desired speed trajectories and different load torque operations in addition to the motor parameter variations. Digital computer simulation results have been carried-out to demonstrate the feasibility, reliability and effectiveness of the proposed global ANN algorithm.

Induction Motor in Electrical drive system at a accelleration speed for example in electric cars have a hard speed setting is set on a wide range, causing an inconvenience for motorists and a fast response is required any change of speed. It is necessary for good system performance in control motor speed and torque at low speed or fast speed response, which is operated by Indirect Field Oriented Control (IFOC). Speed control on IFOC methods should be better to improving the performance of rapid response in the induction motor. In this paper presented a method of incorporation of Fuzzy Logic Controller and Backstepping (Fuzzy-Backstepping) to improve the dynamically response speed and torque in Induction Motor on electric car, so we get smoothness at any speed change and braking as well as maximum torque of induction motor. Test results showed that Fuzzy-Backstepping can increase the response to changes speed in electric car. System testing is done with variations of the reference point setting speed control system, the simulation results of the research showed that the IFOC method is not perfect in terms of induction motor speed regulation if it’s not use speed control. Fuzzy-Backstepping control is needed which can improve the response of output, so that the induction motor has a good performance, small oscillations when start working up to speed reference.Keywords: Fuzzy-Backstepping, IFOC, induction motor

Sliding mode control (SMC) of electric drives constitutes a very popular control method for nonlinear multivariable and time-varying systems, e.g., induction motor (IM) drives. Nowadays, IM are the most popular electrical machines (EM) applied in many industrial applications as motion control devices, including electrical and hybrid vehicles. Nowadays, the control systems of EM are mostly realized using digital techniques (microprocessors and microcontrollers). Therefore, all control algorithms should be discretized or the whole control system should be designed in the discrete-time domain. This paper deals with a discrete-time sliding mode control (DSMC) for IM drives. The discrete algorithms for sliding mode control of the motor speed and rotor flux are derived in detail and next tested in simulation research. The simulation tests include the discrete nature of the power converter supplying the IM and present excellent performance of the developed control structure. To obtain the rotor speed regulation invariant to external disturbances, like load torque or inertia, especially during the reaching phase of the switching line, the discrete version of a time-varying switching line was introduced. It is shown that the assumed dynamics of the IM flux and speed is achieved and the proposed control algorithm can be realized using commonly available microcontrollers. The paper is illustrated with comprehensive simulation results for 1.5 kW IM drive, which are verified by experimental tests.

In this paper, a novel speed control of a single phase induction motor is proposed using a modified inverter. Three MOSFETs are used for controlling the flux linkage of a single phase transformer, its secondary winding is connected in series with the motor. On-line bang-bang speed control of a motor scheme is implemented using a microprocessor to derive the inverter. A mathematical model for the single-phase induction motor is presented, which is used to build up a simulation program for a certain desired speed. Experimental results have been carried out to investigate the motor performance with the controller. Good agreement has been obtained between simulation and experimental results.

Induction motor is most commonly used drive in industrial applications. Many applications require precise speed control of induction motor drive with both steady state as well as dynamic state matching the desired pattern and in all cases immunity to disturbance is desired. In the past induction motors have been used for constant speed only but now due to availability of high performance, low loss semiconductor devices the speed control has become fast, accurate and efficient. Here in this study for more realistic results the voltage source SPWM inverter has been simulated with P-Spice and other blocks have been simulated in MATLAB-Simulink and both the aspects of speed set-point tracking control and regulatory control for load variations have been considered for an induction motor using closed loop control technique. Then using SLPS interfacing the results have been obtained for the two cases. The focus of this study is to consider the effect of characteristic of components used in the nonlinear final control element the inverter.