Muhammad Mahbubur Rashid

Analysis and Experimental Study of Magnetorheological-Based Damper for Semiactive Suspension System Using Fuzzy Hybrids

In this paper, the development and implementation of a novel semiactive suspension control of a quarter-car model using a hybrid-fuzzy-logic-based controller have been done. The proposed quarter-car model can be described as a nonlinear two-degree-of-freedom system, which is subject to system disturbances from different road profiles. In order to implement the suspension system experimentally, the magnetorheological (MR) fluid has been used as an adjustable damper. The MR damper is a control device that consists of a hydraulic cylinder filled with magnetically polarizable particles suspended in a liquid. The MR damper rapidly dissipates vibration by absorbing energy. In this paper, proportional-integral-derivative (PID), fuzzy logic, and hybrid controllers are used to control the semiactive car suspension system. The results show that both fuzzy logic and hybrid controllers are quite suitable to eliminate road disturbances for the semiactive suspension system considerably as compared to the conventional PID controller.

Optimizing dynamic range of Magnetorheological fluid dampers: Modeling and simulation

The viscosity of Magnetorheological (MR) fluids changes dramatically in the presence of an electric or magnetic field, leading to their being referred to as ‘smart fluids’. These fluids have important applications in the field of damping systems. The MR damper parameters are different for different application and there always exist a trade-off. The optimal values of the parameters are important in the design of MR damper for a particular application. Dynamic range is one of the key parameters of the MR fluid damper. This study presents the mathematical derivation of optimal yield stress and shear force to determine the optimal dynamic range of an MR fluid damper.

Design and modeling of energy generated magneto rheological damper

In this paper an energy generated mono tube MR damper model has been developed for vehicle suspension systems. A 3D model of energy generated MR damper is developed in Solid Works electromagnetic simulator (EMS) where it is analyzed extensively by finite element method. This dynamic simulation clearly illustrates the power generation ability of the damper. Two magnetic fields are induced inside this damper. One is in the outer coil of the power generator and another is in the piston head coils. The complete magnetic isolation between these two fields is accomplished here, which can be seen in the finite element analysis. The induced magnetic flux densities, magnetic field intensities of this damper are analyzed for characterizing the damper’s power generation ability. Finally, the proposed MR damper’s energy generation ability was studied experimentally.

Evaluation of Different Control Policies of Semi-Active MR Fluid Damper of a Quarter-Car Model

Proportional Integral Derivative and clipped-optimal control strategy controllers are studied to control the response of Quarter-car suspension profile. A Semi-active device is used for this purpose because it carries valuable result which maintains the reliability of passive control methods and includes the advantage of the adjustable parameter characteristics of active systems. Semi-active devices like Magnetorheological fluids dampers are very effective to control vibration, which use MR fluids to produce controllable damping force and provide both the reliability of passive systems and the facility of active control systems with small power supply. The quarter car model is used here can be described as a nonlinear two degrees of freedom system which is subject to excitation from different road profile. For the best possible reduction of vibration in suspension systems, various Magnetorheological damper models are studied which Bouc-wen model, Neuro-fuzzy model and Bingham model. The performances of these models are evaluated to select a best model. The quarter-car model is executed using step input with two most common and effective control algorithm in vehicle suspension control which are linear quadratic regulator control, and Proportional Integral Derivative control algorithm. The main objective of this study is to evaluate performances of these control algorithms.

New Automated Storage and Retrieval System (ASRS) using wireless communications

This study proposes a new design of an Automated Storage and Retrieval System (ASRS) using wireless communication. The highlight of this project is to aid and improve existing warehouse management system (WMS) that occupies manpower, on-paper data recording and non-intelligent machines during the operation. The essence of this project is to implement wireless technology in controlling ASRS system. Microcontroller and other electronics modules give designer the capability to control movement and rotation of the motor while PIC16F877A programming aid the ASRS movement based on its condition and position of each of the parts that move. The communication between PIC controller and computer is made by a wireless technology. The motion of the system is based on three DC motors, one for each direction of motion X, Y and Z, controlled through PIC microcontroller. The experiment with the prototype shows the success in placing the object to the right destination as requested by the user within shorter time which reveals the success of this study. This automated system is highly demanded in large factories such as automotive factories and mass production companies to aid inventory management system in the warehouse and huge storage area due to the time consumption and dramatic cost reduction factors.

Development and Testing of Hybrid Fuzzy Logic Controller for Car Suspension System Using Magneto-Rheological Damper

In this paper, the development of a novel semi-active suspension control of quarter car model using fuzzy logic based controller has been done. The proposed quarter car model can be described as a nonlinear two degrees of freedom system, which is subject to system disturbances from different road profiles. In order to implement the suspension system experimentally, the magneto rheological (MR) fluid has been used as adjustable damper. The MR damper is a control device that consists of a hydraulic cylinder filled with magnetically polarizable particles suspended in a liquid. The MR dampers rapidly dissipate vibration by absorbing energy. In this work, a proportional integral derivative, a fuzzy logic and hybrid controllers are used to control the semi-active car suspension system. Results show that both fuzzy logic and hybrid controllers are quite suitable to eliminate road disturbances to the suspension system considerably as compared to the conventional PID controller.

Development of an Advanced Semi-Active Damper Using Smart Fluid

In this paper an advanced semi-active damper is designed and experimentally studied to investigate and establish its behavior. A prototype Magneto-rheological fluid Damper is designed as advanced semi-active damper due to its huge advantages. Magneto-rheological fluid with improved dispersion stability is prepared here as smart fluid. The relation between force and displacement for various current has been established to develop the semi-active damper model. In this study a fuzzy tuned PID controller is opted to achieve better response for a various frequency input. The proposed MR damper can be applied to vehicle syspension system and other suspension mitigation system widely. Moreover, the identified behaviour can help in further development of MR damper technology. The characteristics obtained from of MR damper is more realistic as it is obtained from experiments.

Design and implementation of a fuzzy logic based controller for refrigerating systems

This paper describes an intelligent the temperature control at a desired level in a refrigerator. The control works on the basis of modeling a thermostatic appliance and the use of fuzzy logic. A refrigeration system control device using fuzzy logic for controlling a plurality of refrigeration compressors such that the closest capacity is selected to match the load to each of a plurality of evaporators comprising, a control having an input adapted to be connected to a means to sense the temperature in the controlled space wherein a control signal is indicative of the maximum refrigeration load of the controlled space, a means for determining whether the primary control variable in said space is above or below a single predetermined desired target. Thermostatically simulated and fuzzy controlled model are presented successively. The latter is set-up on the basis of the Mamdanis type of fuzzy rules. MATLAB, SIMULINK and Fuzzy Logic TOOLBOX (FLT) are the programming environments used for realization of the model. The principal aim in designing the control is to assure the fastest and best transition possible from an analogue to digital control of the refrigerating appliance, which represents the basis of a functional expansion demanded by the present market.

Design of AI neural network based controller for controlling dissolved oxygen concentration in a sequencing batch reactor

The design and development of the neural network based controller performance for the activated sludge process in sequencing batch reactor (SBR) is presented. In this paper, here we give a comparative study of various neural network based controllers such as the direct inverse control, internal model control and hybrid neural network control strategies to maintain the dissolved oxygen level of an activated sludge system by manipulating the air flow rate. The neural network inverse model based controller with the model-based scheme represents the controller, which relies solely upon the simple neural network inverse model. In the internal model control, both the forward and inverse model is used directly as elements within the feedback loop. The hybrid neural network control consists of a basic neural network (NN) controller in parallel with a proportional integral (PI) controller. Various simulation test involving multiple set point changes, disturbances rejection and noise effects were performed to review the performances of these various controllers. From the results it can be seen that hybrid controller gives best results in tracking set point changes value the disturbances and noise effects.

Design and development of controller of a rotary crane system

The rotary cranes (tower crane) main purpose in finding a proper control strategy to transport the loads from one location to another. The controlling approach should consider two main factors which are minimizing the moving time of the payload from the primary pick up point to the destination point and second, the oscillation of the payload must be reduced to prevent hazards for people and equipment in the workplace. These days, instead of skillful crane operator, a lot of controllers have designed for the purpose of minimizing angle of swing as well as obtaining precise positioning. However, still each of them has some limitations and an enhanced controller is necessary with the aim of increasing the efficiency of the rotary crane system. In this research, input shaping technique, a technique of convolving the impulse sequences, an input shaper, with the command signal of the system is implemented into the rotary crane system. The outcome of the convolution is then being used as the reference command to drive the system. The inputs for the system are the position and the angle of swing that are being detected by the encoder and potentiometer. These inputs are converted into digital signal by the means of DAQ card. Then, after they are being manipulated with the design input shaper in the MATLAB simulation software, the simulation model will then be connected to the real system by using the XPC Target. The execution of the MATLAB simulation on the target PC will result in reduced angle of swing of the rotary crane system. This project is very significant due to fact that it brings an improvement in controlling the angle of swing of the rotary crane and minimizes the time needed to move the payload.