Emanuele Cerruto

Fuzzy adaptive vector control of induction motor drives

This paper deals with the design and experimental realization of a model reference adaptive control (MRAC) system for the speed control of indirect field-oriented (IFO) induction motor drives based on using fuzzy laws for the adaptive process and a neuro-fuzzy procedure to optimize the fuzzy rules. Variation of the rotor time constant is also accounted for by performing a fuzzy fusion of three simple compensation strategies. A performance comparison between the new controller and a conventional MRAC control scheme is carried out by extensive simulations confirming the superiority of the proposed fuzzy adaptive regulator. A prototype based on an induction motor drive has been assembled and used to practically verify the features of the proposed control strategy.

A robust adaptive controller for PM motor drives in robotic applications

The paper deals with theoretical development and practical implementation of an adaptive speed and position regulator suitable for robotic applications. The proposed adaptive control scheme is characterized by a reduced amount of computation and is based on the model reference adaptive control approach to compensate the variations of the system parameters, such as inertia and torque constant. A disturbance torque observer is employed to balance the required load torque and reduce the complexity of the adaptive algorithm. Simulation tests of a robotic drive, including an interior type permanent magnet synchronous (IPMS) motor, are reported in order to compare the proposed control scheme with standard speed and position regulators. Experimental results, obtained from a prototype based on a commercial PC board, are also reported in order to practically evaluate the feasibility and the features of the proposed adaptive control scheme. >

Energy flows management in hybrid vehicles by fuzzy logic controller

Hybrid vehicles for public transportation seem to be a good solution to avoid air pollution and high level of noises in the city centres. The optimal management of energy flows concerned with such vehicles is a difficult task due to the complexity of the whole system including electrical, mechanical, and electrochemical components. In this paper a fuzzy logic based regulator is proposed to improve the efficiency of the vehicle. The system is simulated to demonstrate the validity and the convenience of a qualitative approach instead of a deterministic one. The simulation results confirm the feasibility and encourage more research towards an actual application.<<ETX>>

Adaptive fuzzy control of high performance motion systems

The authors describe a speed and position control system based on a fuzzy logic approach, integrated with a simple and effective adaptive algorithm. The proposed control scheme can be usefully applied to an electrical motor drive with decoupled torque and flux control. An experimental prototype, based on a permanent-magnet brushless drive, has been realized using a mixed structure composed of recently introduced fuzzy logic chips and conventional digital circuits. Under a reference speed trajectory with trapezoidal shape, the proposed regulator has shown good performance in simulation as well as in experimental tests.<<ETX>>

Fuzzy logic based efficiency improvement of an urban electric vehicle

In the paper a fuzzy logic based energy management system is used in order to properly control the energy generation and energy exchanges in a hybrid vehicle. Such an application of fuzzy logic seems to be attractive due to the complexity of the whole system, composed of several subsystems including electrical, mechanical, and electrochemical components, and also to the fact that some physical quantities are hardly measurable. Development of the fuzzy control system shows the validity and convenience of a qualitative approach instead of a deterministic one. An extensive set of simulations is presented in order to demonstrate the consistency of the proposed control system.<<ETX>>

Adaptive vector control of induction motor drives based on a neuro-fuzzy approach

The paper deals with the design and the experimental realization of an MRAC speed controller for indirect field oriented induction motor drives, based on using fuzzy laws for the adaptive process and a neuro-fuzzy procedure to optimize the fuzzy rules. The variation of the rotor time constant is also compensated by performing a fuzzy fusion of three simple compensation strategies. A performance comparison between the new controller and a conventional MRAC control scheme is carried out by means of simulations confirming the superiority of the proposed fuzzy adaptive regulator. A prototype based on an induction motor drive has been assembled and used to practically verify the features of the proposed control strategy.<<ETX>>

SLIP GAIN TUNING IN INDIRECT FIELD ORIENTED CONTROL DRIVES

ABSTRACT The paper presents a simple technique for correctly and fastly tuning the slip gain in Indirect Field Oriented Control drives. To this aim no other transducers than the tachogenerator, usually included in such drives, are needed, as the tuning operation is performed by processing the effects of a suitable test signal injected in the system. The proposed approach can be used either for on-line retuning of working drives, either for the initial tuning of new installed drives. Simulation and experimental tests show that the procedure is effective and does not Interfere with normal operations of the drive.

A simple and robust adaptive controller for PM motor robotic drives

The theoretical development and the practical implementation of an adaptive speed and position regulator suitable for robotic applications are addressed. The proposed adaptive control scheme, which is characterized by a reduced amount of computation, is based on the model reference adaptive control approach, and employs a disturbance torque observer that makes it possible to noticeably simplify the adaptive algorithm. Simulations that compare the proposed control scheme with standard speed and position regulators are reported. Experimental results for a prototype based on a commercial PC board, used to evaluate the features of the proposed adaptive control scheme are also reported.<<ETX>>

Improvements in Citrus Packing Lines to Reduce the Mechanical Damage to Fruit

Improvements in Citrus Packing Lines to Reduce the Mechanical Damage to Fruit Giuseppe Manetto*, Emanuele Cerruto, Simone Pascuzzi, Francesco Santoro Department of Agricoltura, Alimentazione e Ambiente (Di3A), University of Catania, Via S. Sofia 100, 95123 Catania, Italy Department of Agricultural and Environmental Science (DiSAAT), University of Bari Aldo Moro, Via Amendola 165/A, 70126 Bari, Italy gmanetto@unict.it

Rotor time constant determination of induction motor drives via steady-state torque analysis

The paper presents a simple and straightforward way to calculate the rotor time constant of an induction motor by analysing the steady-state electromagnetic torque. The main advantage of the proposed approach is its simple implementation. Moreover, it can be performed either off-line, as a tool to calculate the rotor time constant of an asynchronous motor, or on-line, to tune a field oriented control (FOC) drive. The only constraint is that a constant load is required during the calculation procedure that a takes few seconds. This is not a problem in laboratory measurements, in a large number of applications in which the load is strictly related to the speed, nor in servo-drives where constant load operation are usually scheduled during the working cycles. A theoretical development of the new rotor time constant calculation procedure is given, followed by a validation of the procedure by means of simulation and experimental tests.<<ETX>>