DSPACE DSP based implementation of simplified fuzzy logic speed controller for vector controlled PMSM drives

This paper presents simplified fuzzy logic speed control (FLSC) for vector controlled permanent magnet synchronous motor (PMSM) drives. The fuzzy logic controller is a multi-parameter controller where the performance depends upon the chosen shape of membership function (MF), rule base and scaling factor. In this paper, rule base is viewed as a control strategy to design the simplified FLSC. The FLSC simplification is designed by rule base simplification through two diferrent approaches. The first approach implements the rule simplification by reducing the number of MF used and adjusting the arrangement of chosen MFs for each fuzzy variable. The second approach obtains the rule simplification by eliminating the rules that are infrequently fired by the PMSM drives while maintaining the dominant rules. In doing so, the standard 49 rules is simplified become 9 rules by first approach while the other approach produces 7 rules. The efficacies of the FLSC simplifications are investigated based on comparative studies of speed performances with the standard FLSC which consisting of 49 rules. The standard FLSC is designed based on common criteria from numerous literatures. The mathematical model of the PMSM drive system is simulated in MATLAB environment with Simulink and Fuzzy Logic Toolbox. The simulation results are validated with the experimental results for various operating conditions, load disturbances and inertia variations. The simulation and experimental results showed that the simplified FLSCs obtain nearly equivalent performance with the standard FLSC, thus indicating the effectiveness of the rule simplification

This paper presents a fuzzy logic controller for the closed loop control of BLDC motor. The fuzzy logic controller is developed using a fuzzy logic toolbox in MATLAB. Also here a single current sensor technique is proposed for closed loop current control. For closed loop current control of BLDC motor, the motor phase currents are measured using current sensors. These sensors are expensive and the use of different current sensors can cause undesirable imbalance in phase currents due to differences in current sensor sensitivities. These drawbacks can be avoided by using a single current sensor placed on the DC link. Here an algorithm is presented to obtain the phase current values from the DC link current. The proposed system was simulated using MATLAB/Simulink, with PI and fuzzy logic speed controllers. The simulation result shows that, the fuzzy logic controller gives better performance than PI controller. The hardware implementation of the fuzzy logic controller is done using PIC16F877A. The hardware results show that the fuzzy logic controller gives a smooth speed control.

This paper deals with the DSP based implementation of a sliding mode (SM) speed controller for direct torque controlled (DTC) permanent magnet synchronous motor (PMSM) drive. The drive system consists of power circuit and control hardware. The former has insulated gate bipolar transistor (IGBT) based voltage source inverter (VSI) and gate driver circuit, while the latter has voltage and current sensors and their interfacing circuits. The rotor speed estimation from the sensed position signals, SM speed controller, torque, flux, and sector estimator and optimum voltage vector selection table for gating pulse generation of VSI are implemented in assembly language of DSP-ADMC401. The simulation model of the PMSM drive system is developed in MATLAB environment with Simulink and PSB toolboxes to analyze the performance of the proposed drive system. The simulated performance of SM speed controlled PMSM drive is validated with the test results for starting, speed reversal, load perturbation and steady-state operating conditions.

In this paper, a fuzzy logic speed controller in combination with feedforward fuzzy logic current controller is designed and modelled to control a permanent magnet synchronous motor (PMSM) drive for high performance drive applications. The fundamentals of fuzzy logic based control algorithms are illustrated in brief. The detailed performance of PMSM drive is studied applying various mechanical disturbances such as starting, speed reversal, flux weakening and load perturbations.

Permanent Magnet Synchronous Motors (PMSM) have found widespread acceptance industrially. Vector control of PMSM allows for torque-speed decoupling, which is an important requirement in variable speed drives. This paper attempts to enhance the dynamic characteristics of a PMSM drive by replacing its speed PI controller. PI controllers usually satisfy most industrial requirements, but they are susceptible to variations in plant parameters. A fuzzy speed controller is identified as an alternative and is designed and implemented to replace the PI Speed controller. An improvement is observed in the dynamic characteristics, stability, and robustness. These tests have been performed on the Microsemi SmartFusion <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">®</sup> platform using a reference design that uses a PI controller, which is available from its website. Currently, efforts are on to evaluate the effect of using a Fuzzy logic-based current controller in the PMSM drive.

For permanent magnet synchronous motors (PMSMs) supplied with a voltage source inverter, current control strategies are commonly implemented under the synchronously rotating reference frame. In order to simplify the system structure, three-phase currents can be measured with a single DC-link current sensor using the phase current reconstruction technique. However, it still needs to follow the conventional AC current control approach. In this paper, a DC-link current control method for PMSMs is proposed to further simplify the control system. The problem of phase current control was separated into the problems of amplitude control and phase control. Then, amplitude control was achieved using a closed-loop controller directly tracking the DC-link current; while phase control was achieved by AC-side pulse width modulation (PWM) following the phase angle of back electromotive force. The compensation for nonlinear distortion of the inverter was taken into account during the control process. Finally, the proposed method realized three-phase current control with a single current sensor and controller, and achieved the purpose of electromagnetic torque control. Experimental results demonstrate the effectiveness of the proposed method.

This paper proposes an adaptive fuzzy observer-based command filtered discrete-time control method for permanent magnet synchronous motors (PMSMs) with input constraint. First, the rotor angular velocity is estimated by using an adaptive fuzzy observer and the unknown nonlinear function is approximated by using fuzzy logic systems (FLSs) in the PMSMs drive systems. Then, compared with the traditional backstepping method, command filtered backstepping method is developed to solve the “complexity of computation” problem. It is shown that all signals of the closed-loop system are semi-globally uniformly ultimately bounded. Finally, the results of the simulation and experiment demonstrate that the new design method can fully consider the influence of input constraint and load disturbance, and improve the tracking performance for PMSMs drive systems.

This work proposes a permanent magnet synchronous motor (PMSM) driven standalone solar water pumping system. The proposed topology utilizes a solar photovoltaic (SPV) array that converts the solar energy into electrical energy. The energy obtained is used to drive the PMSM using a 3-phase voltage source inverter. The speed of PMSM is controlled in vector control using a hybrid proportional integral controller. The PMSM is coupled to a pump, which performs the pumping operation. An intermediate stage DC — DC converter is utilized for maximum power point tracking using an incremental conductance algorithm. A SPV feed forward term is introduced to accelerate the response of the system. The proposed topology is modelled and its performance is manifested through simulation studies using MATLAB/Simulink under different environmental conditions. A hardware validation of the proposed system is also carried out using a digital signal processor controller (DS-1004) on a develop prototype in the laboratory.

Performance evaluation of a brushless DC (BLDC) motor with conventional PI and Fuzzy Logic based speed controller is presented in this paper. The BLDC motor with non-sinusoidal (trapezoidal) back-electromotive force has been analyzed with both the speed and current controllers. It is the always preferred to have a drive with faster and smoother speed response and reduced ripples in current and torque. The controlling schemes for BLDCM using its Back EMF have been conventionally used into many applications. In this paper, a simple control scheme has been implemented which does not need to know the back emf or shape function and even no complicated calculations. In order to solve the problems associated with conventional PI speed controller, Fuzzy logic speed controller is proposed to reduce starting current, eliminate overshoot in the torque and fast speed response. It is simple in design and eliminates the complex mathematical computation. The effectiveness of proposed system has been validated by simulation results and improved performance of controlling BLDCM. The proposed algorithm gives robust control. The robustness of the proposed algorithm is demonstrated through the MATLAB simulation.

The dc-link voltage, switching frequency, and modulation strategy all have significant influence on the power losses and output current total harmonic distortion (THD) of a voltage source inverter (VSI). However, there is not a thorough study of the VSI performance in a traction electric drive considering all these parameters present in literature. This paper aims to investigate how the VSI parameters impact the performance of a VSI in a simulated permanent magnet synchronous motor (PMSM) traction drive under various modulation strategies. Analytical methods used to evaluate inverter performance under various modulation strategies are presented to validate the simulation outcomes. A VSI-fed traction electric drive with a 100 kW PMSM is modelled and simulated at several operating points under various modulation strategies and VSI parameters. The considered modulation strategies are sinusoidal pulse width modulation (SPWM), space vector PWM (SVPWM), discontinuous PWM zero (DPWMO), various DPWM variants such as DPWM1, DPWM2, and DPWM3, with VSI dc-link voltages and switching frequencies ranging from 300 to 420 V and 5 to 15 kHz, respectively.

This paper presented a vector controlled drives of permanent Magnet Synchronous Motor (PMSM) by using Proportional-Integral (PI) Speed controller based dSPACE implementation. The concept of vector control is applied to PMSM to obtain linear dynamics similar to that of a DC motor. The model consist of two control loops, hysteresis current controller is used for inner loop current control and PI controller for outer loop speed control. PI speed controller selected due to simplicity compare to fuzzy, neutral etc. to make sure dSPACE DS1103 successfully implemented. The PMSM vector control algorithm for a theoretical basic has been verified by experimental results and created a rapid control prototype environment by using MATLAB/ Simulink and the DS1103 DSP of dSPACE.

This paper presents the implementation of adaptive fuzzy neural network controller (FNNC) for accurate speed control of a permanent magnet synchronous motor (PMSM). FNNC includes neural network controller (NC) and fuzzy logic controller (FC). It combines the capability of fuzzy reasoning in handling uncertain information and the capability of neural network in learning from processes. The initial weights and biases of the artificial neural network (ANN) are obtained by offline training method. Using the output of the fuzzy controller (FC), online training is carried out to update the weights and biases of the ANN. Several results of simulation are provided to demonstrate the effectiveness of the proposed FNNC under the occurrence of parameter variations and external disturbance.KeywordsFuzzy ControllerFuzzy Logic ControllerProportional IntegralReference SpeedFuzzy Logic RuleThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

In this paper, a fault diagnosis method is presented in order to detection the inter-turn short circuit fault in permanent magnet synchronous motor (PMSM) based on the comparative analysis of two types of controllers. This study consists in the sliding mode control (SMC) of the (PMSM) and the two controllers (fuzzy logic controller (FLC) and Adaptive fuzzy logic controller (AFLC) by taking account of the presence of inter-turn short circuit fault. This study aims to select the most robust controller against the stator faults, load torque variation and reversing rotation speed. Tests regarding these two controllers associated with the sliding mode control were carried on a PMSM 5KW under to different loads, speed and severity degrees of failures for a functioning in healthy and degraded state. The obtained simulation results confirm the superiority and robustness of AFLC-SMC (insensitive to the load torque and the rotation direction, faster response time, decrease the oscillations, and minimization of THD) compared to FLC-SMC.

This paper presents the fuzzy logic-based speed control of an interior permanent magnet synchronous motor (IPMSM) drive. The fundamentals of fuzzy logic algorithms related to motor control applications are illustrated. A new fuzzy speed controller for the IPMSM drive is designed. The efficacy of the proposed fuzzy logic controller (FLC) based IPMSM drive is verified by simulation as well as experimental results at different dynamic operating conditions. The fuzzy logic controller is found to be robust for application in the IPMSM drive. The complete vector control scheme incorporating the FLC is implemented in real-time using a digital signal processor (DSP) controller board DS 1102 in a laboratory 1 hp interior permanent magnet synchronous motor.

This paper proposes an electrical parameter estimation method for permanent magnet synchronous motors (PMSMs) considering the voltage source inverter (VSI) nonlinearity. Accurate parameters are essential for high-performance control of PMSMs. Therefore, numerous studies have been conducted to obtain accurate parameters. However, the VSI nonlinearity causes voltage distortion, which causes parameter-estimation errors. To address this problem, this paper presents a solution using the double-frequency double-amplitude (DFDA) injection method based on the high-frequency (HF) injection method. The proposed method is a practical and novel method using simple mathematical calculations that takes into account VSI nonlinearity without using nonlinearity-compensation methods. It increases the accuracy and reduces the resistance-estimation step by simultaneously estimating the stator resistance and inductance. To demonstrate the efficacy and practicability of the proposed method, it was experimentally verified on a 400 W surface-mounted PMSM. The proposed method can simultaneously estimate the stator resistance and inductance with high accuracy within a short time and can, therefore, be applied to PMSM drives in various industries, such as robotics.