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Fuzzy Logic Controller for PMSM
Abstract
Dual motor drives designs are attractive for high power application because of their mechanical simplicity, traction and regenerative braking control on low friction surfaces. However, such configurations normally require two power inverters with coordinated control. The high cost and large size of packaging needs of the inverters make such dual inverter, dual motor drive configurations are economically less competitive. Therefore, the need for dual motor drives fed by single inverter rising consequently to reduce sizes and costs with respect to the single motor drives, either in industrial or in traction application. This paper aims to investigate the behavior of dual motor drives fed by single inverter using averaging technique MATLAB/Simulink has been chosen as the simulation tools.
... Moreover, a study on the design of the Fuzzy Logic Controller (FLC) for speed regulation of Permanent Magnet Synchronous Motor dually driven system considering the complexity of fuzzy designs was carried out by B. Shikkewal and V. Nandanwar in 2012 [12]. The alternate methodology in designing of the fuzzy system was to tune by the Universe of Discourse method. ...
... Existence of viscous friction and step response issues, rotor time constant is unknown, heavy parameter variations Vector-based speed control [8] Good step response Dynamic load issues Low-speed control [9] Good control on the regulation of the motor speed Fluctuation and oscillatory errors in the speed response Current differential signals [10] Reduction of copper losses, improvement in inverter voltage utilization Waveforms Oscillatory errors and voltage saturation Active Disturbance Rejection [11] The ability of unknown errors compression and good step response Improvement needed in speed response and dynamic speed response Fuzzy Logic [12] Highly adaptive, good tracking performance and robustness ...
AC Servomotors are widely used in the industries for the control of static and dynamic loads. Precise control of position, speed, and torque are the main issues with the AC Servomotor. AC Servomotors are highly demanded by the industries to have a precise response under dynamic load conditions. Many control techniques are commercially available for the control of AC Servomotor under static and dynamic load conditions. However, all of these control techniques have advantages and limitations. Many investigations are done on the control of AC Servomotor, but comprehensive surveys on the control of AC Servomotor were still limited. In this paper, most of such commercially available control techniques are investigated, discussed, and compared.
... The second stage was the inference engine, which contained the fuzzy rules; it executed different fuzzy logic operations to take its actions based on the inputs. The last step was the defuzzification, which produced a crisp value from the control actions [6] [16]. In the FLC design, two signals were identified, which were the error signal (Input1) and change in the error signal (Input2), as explained below. ...
... This signal identified the direction of the error variation. This signal was produced using a unit delay block and a subtraction block, in which the signal was delayed by a sample time of 0.1 seconds, and then it was subtracted from the Input1 signal, which resulted in the difference between the error signal and delayed signal [6] Jlnr•TT was the processing time constant. This was defined as the difference between the time at which process variable showed its first response to the control output step and the time at which process variable reached up to 63% of the total process variable change or the final steady-state value. ...
This paper focuses on the simulation analysis of the conventional Internal Model Control (IMC) technique and the development of two proposed control techniques for the position control of AC Servo Motor. Internal Model Control (IMC) technique [1] was only able to control the AC Servo Motor under static load condition. Also, it had step response problems, and it was not robust against external disturbances. For these reasons, the IMC technique was further improved to control the AC Servo Motor under dynamic load conditions by proposing Amended Internal Model Controller (AIMC). The step response and the robustness of AIMC against external disturbances were further improved by proposing AIMC+FLC. Where a Fuzzy Logic Controller (FLC) is designed and connected with the AIMC.
... A study in [14] shows that a 9-rule FLC produces the same performance as a 49-rule FLC when applied for speed control in a permanent magnet synchronous motor drive. MPPT control in a PV-grid inverter is carried out using an optimized 9-rule FLC in [15]. ...
... It is assumed that both P pv (t) and V pv (t) are continuous and differentiable. The error signals used for MPPT are defined as (13) and (14). ...
This paper presents a technique for implementing population based metaheuristic algorithms during dynamic optimisation of a non–linear system with time varying inputs. The system dynamics due to the presence of multiple inputs and large signal variations are simulated when designing controller parameters. The proposed method is used to implement the particle swarm optimisation (PSO) algorithm and used to optimise fuzzy logic controllers for photovoltaic (PV) array maximum power point tracking. Controller optimisation is carried out using a large signal average model of the dc–dc converter. A rule firing analysis technique for interpretation of fuzzy logic controller rule participation at run–time is formulated. The rule inference parameters used for analysis are firing frequency, firing strength, and contribution to the control effort. The performance of optimised fuzzy logic controllers consisting of 9, 25, and 49 rules is analysed at run–time. Simulation results show that the fuzzy logic controller rules centred on the equilibrium point have the most significant contribution to the control effort. A fuzzy logic controller (FLC) with 9 rules can therefore give a good performance. The robustness of the 9–rule FLC is verified using the Lyapunov stability theory.
... Various control methods have been applied to control the PMSMs to have a smooth torque and speed control, including different variants of vector control methods, proportional integral (PI) control method, fuzzy logic controller, sliding mode control methods, etc. [4][5][6][7]. Since PMSMs are mostly associated with higher efficiency and higher reliability applications, where loss minimization and redundancy play a significant role, these characteristics should be considered while selecting a controller for different applications. ...
... Among many kinds of control structures, fuzzy logic controller (FLC) is one of the superior schemes used for plants having difficulties in deriving mathematical models or having performance limitations with traditional linear control structures [15]. ...
... In 2012 Rajat V. and Gunjan G. presented a comparative analysis of PI control, fuzzy logic control, and ANFIs of one PMSM (Varshney R. et al., 2012). In the same year Bhagyashree S. and Vaishali N. studied the behavior of dual motor drives fed by a single inverter using Matlab/Simulink environment (Shikkewal B. et al., 2012). ...
This paper presents the use of two different controllers in speed control of multi permanent magnet synchronous motors (PMSMs) master/slaves system. These controllers used to improve the performance of multi PMSMs drive system are conventional PI and PD-like fuzzy + I controllers. For PD-like fuzzy + I speed controller, simulation results clearly show that the response of the system is superior as compared to PI speed controller in terms of rise time, settling time, accuracy, and steady state error. The design and analysis of the system with both controllers have been simulated and studied using MATLAB/Simulink environment. Speed responses obtained under PI and PD-like fuzzy + I controllers are compared for a variety of load conditions.
... The control technique known as vector control has been used to obtain high performance control on PMSM. 1,2) However, conventional vector control needs a sensor for detecting speed and rotor flux position to ensure the control precision. The existence of the sensor presents some disadvantages such as drive cost, installation, reliability and noise immunity. ...
This paper proposes improvement on sensorless vector control performance of a permanent magnet synchronous motor (PMSM) with sliding mode observer. An adaptive observer gain and second order cascade low-pass filter (LPF) were used to improve the estimation accuracy of the rotor position and speed. The adaptive observer gain was applied to suppress the chattering intensity and obtained by using the Lyapunov`s stability criterion. The second order cascade LPF was designed for the system to escalate the filtering performance of the back-emf estimation. Furthermore, genetic algorithm was used to optimize the system PI controller`s performance. Simulation results showed the effectiveness of the suggested improvement strategy. Moreover, the strategy was useful for the sensorless vector control of PMSM to operate on the low-speed area.
the article introduces a method for controlling the speed of a six-phase permanent magnet synchronous motor (PMSM) drive with the help of fuzzy logic controllers (FLCs). By utilizing the vector control technique, the fuzzy logic controller achieves a high level of dynamic performance. The FLC is implemented in the current and speed controllers of the six-phase PMSM drive. To evaluate its effectiveness under different operating conditions, the FLC with PMSM drives is designed and simulated using MATLAB. The FLC proves to be more robust and capable of overcoming the nonlinearity issues associated with the six-phase PMSM. The simulation outcomes confirm the efficiency of the suggested control technique for the PMSM drive system.
This paper proposes the used of genetic algorithm for optimizing PI controller and describes the dynamic modeling simulation for the permanent magnet synchronous motor driven by simplified vector control with the aid of MATLAB-Simulink environment. Furthermore, three kinds of error criterion minimization, integral absolute error, integral square error, and integral time absolute error, are used as objective function in the genetic algorithm. The modeling procedures and simulation results are described and presented in this paper. Computer simulation results indicate that the genetic algorithm was able to optimize the PI controller and gives good control performance of the system. Moreover, simplified vector control on permanent magnet synchronous motor does not need to regulate the direct axis component current. This makes simplified vector control of the permanent magnet synchronous motor very useful for some special applications that need simple control structure and low cost performance.
The paper deals with controlled PM-brushless drives in configuration "ingle-inverter, dual-motor" operating with unbalanced loads at the shafts of the two motors. Predictive control technique is analyzed and two control circuits are compared. Starting from some simple control circuits which refer to an equivalent "single-inverter, single-motor" configuration, some modified blocks are added in order to improve steady-state and transient performances. Current and torque oscillation, total efficiency, torque-current ratio, dynamic response and stability are the main quantities observed. Their values are compared in order to evidence the advantages of the different examined control circuits.
Studies the torque control of dual induction motors drive for tracked vehicle. Induction motor mathematics model is made up, a torque voltage PI (Proportional Integral) controller of induction motor is designed, torque control strategy based on rotor flux oriented is proposed, and dual induction motors independent drive system for tracked vehicle is constructed, whose of complex torque control strategy of dual induction motors is discussed. Effectiveness is shown by experimental results of dual motors characteristic on straight running and steering.
The paper deals with controlled PM-brushless drives in configuration ldquosingle-inverter, dual-motorrdquo operating with unbalanced loads at the shafts of the two motors. Some control techniques are analyzed and their relevant features are compared. Starting from some simple control circuits which refer to an equivalent ldquosingle-inverter, single-motorrdquo configuration, some compensation blocks are added in order to improve steady-state and transient performances. Current and torque distortion, total efficiency, dynamic response and stability are the main quantities observed. Their values are compared in order to evidence the advantages of the different examined control techniques.
The paper deals with isotropic PM-brushless drives in configuration “single-inverter, dual-motor” operating with unbalanced load-torques. After a short review of some control techniques based on the classical control methodologies of single-motor PM drives, an innovative control algorithm is presented. It is suitable to minimize the resultant armature current needed to obtain an assigned resultant motor torque, whatever is the load unbalance. Simplified analytical expressions are given in order to quickly evaluate optimized reference currents with good approximation. From these reference values, a predictive feeding algorithm evaluates the reference voltage space-vector for the inverter supplying the two motors in parallel. Current and torque oscillation, torque/current ratio, dynamic response and stability are the mainly observed quantities. Effectiveness of proposed control technique is highlighted.
The main goal of this paper is to perform a comparative study of different space vector pulse width modulation (SVPWM) techniques for dual three-phase permanent-magnet synchronous motor (DTP-PMSM) drives. Simulation results are provided to emphasize the advantages and disadvantages of each method. Experimental tests have been carried out to validate the most promising strategy which gives satisfactory results in terms of current harmonic minimization and low implementation complexity.
This paper presents a hybrid system controller, incorporating fuzzy controller with vector-control method for induction motors. The vector-control method has been optimized by using fuzzy controller instead of a simple P-I controller. The presented hybrid controller combines the benefits of fuzzy logic controller and vector-control in a single system controller. High quality of the regulation process is achieved through utilization of the fuzzy logic controller, while stability of the system during transient processes and a wide range of operation are assured through application of the vector-control. The hybrid controller has been validated by applying it to a simulation model.
This paper proposes the practical implementation of a fuzzy logic
control scheme applied to a two phase (d-q) current model of an
induction motor. Most conventional fuzzy controllers use fuzzy logic to
tune a PI or PID. The fuzzy logic control scheme does not depend on the
conventional PI or PID model. It directly transforms the inputs, speed
errors and rate of change in speed errors, into the output quantity, the
change in inverter command frequency. The proposed approach is simpler
in implementation and its trajectory tracking capability was
investigated. The experimental results show that it has a superior
performance compared to a fuzzy tuned PI controller or a simple PID
controller
A new adaptive fuzzy control algorithm is developed in this paper,
which has a regular fuzzy controller and a supervisory control term.
This control algorithm does not require the system model, but has
stability assurance for the closed-loop controlled system. The design is
simple, in the sense that both the membership functions and the rule
base are simple, yet generic. It can be applied to a large class of
robotic and other mechanical systems
This paper presents a novel speed control scheme of an induction motor (IM) using fuzzy-logic control. The fuzzy-logic controller (FLC) is based on the indirect vector control. The fuzzy-logic speed controller is employed in the outer loop. The complete vector control scheme of the IM drive incorporating the FLC is experimentally implemented using a digital signal processor board DS-1102 for the laboratory 1-hp squirrel-cage IM. The performances of the proposed FLC-based IM drive are investigated and compared to those obtained from the conventional proportional-integral (PI) controller-based drive both theoretically and experimentally at different dynamic operating conditions such as sudden change in command speed, step change in load, etc. The comparative experimental results show that the FLC is more robust and, hence, found to be a suitable replacement of the conventional PI controller for the high-performance industrial drive applications.
Optimum Torque/Current control of dual PMSM single VSI Drive
- D I A Pizzo
- I Spina
D. I. A.Del Pizzo, I.Spina, "Optimum Torque/Current control
of dual PMSM single VSI Drive," 15th International
Symposium on Power Electronics-Ee 2009, Novi Sad,
Republic of Srbia, October 28th-30th, 2009.
Fuzzy logic controlled dc motor drive in the presence of load disturbance
- Da Silva
- P Acarnley
W. Da Silva and P. Acarnley, "Fuzzy logic controlled dc
motor drive in the presence of load disturbance," in 7th
European Power Electronics Conference, 1997, pp. 2-2.