The paper introduces a new form of complex fractional order proportional integral derivative (CFOPID) controller of the form D. This latest derivative of has more parameters than any of the Fractional-order PID contro...
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In this paper, a robust fractional order fuzzy P + fuzzy I + fuzzy D (FOFP + FOFI + FOFD) controller is presented for a nonlinear and uncertain 2-1ink planar rigid manipulator. It is a nonlinear fuzzy controller...
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In this paper, a robust fractional order fuzzy P + fuzzy I + fuzzy D (FOFP + FOFI + FOFD) controller is presented for a nonlinear and uncertain 2-1ink planar rigid manipulator. It is a nonlinear fuzzy controller with variable gains that makes it self- adjustable or adaptive in nature. The fractional order operators further make it more robust by providing additional degrees of freedom to the design engineer. The integer order counterpart, fuzzy P + fuzzy I + fuzzy D (FP + FI + FD) controller, for a comparative study, was realized by taking the integer value for the fractional order operators in FOFP + FOFI + FOFD controller. The performances of both the fuzzy controllers are evaluated for reference trajectory tracking and disturbance rejection with and without model uncertainty and measurement noise. Genetic algorithm was used to optimize the parameters of controller under study for minimum integral of absolute error. Simulation results demonstrated that FOFP + FOFI + FOFD controller show much better performance as compared to its counterpart FP + FI + FD controller in servo as well as the regulatory problem and in model uncertainty and noisy environment FOFP + FOFI + FOFD controller demonstrated more robust behavior as compared to the FP + FI + FD controller. For the developed controller bounded-input and bounded-output stability conditions are also developed using Small Gain Theorem.
The role of non-integer calculus in the fields of signal processing, control and automation is gradually gaining high importance due to its additional degree of freedom. In this paper we focus on frequency band approx...
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The role of non-integer calculus in the fields of signal processing, control and automation is gradually gaining high importance due to its additional degree of freedom. In this paper we focus on frequency band approximations of non-integer order differentiators and integrators in s-domain. The implementation of non-integer order proportional plus integral plus derivative (PID) controller to control a plant model is presented. This is done by first approximating the non-integer order terms to a finite value using different approximation techniques and then decomposing the finite model to obtain the circuit elements. The frequency response analysis of the approximated model is presented and it is shown that the number of circuit elements depends on the approximation technique. The time domain analysis of the closed loop system is presented by plotting the step response. The simulations have been performed using MATLAB and OrCAD Capture CIS simulator.
An intelligent adaptive fuzzy logic control technique, Fractional Order Self Organizing Fuzzy controller (FOSOFC) is presented and applied to control a two link planar electrically-driven rigid robotic (EDRR) manipula...
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In the recent years, smart electronics have seen a rapid rise in the field of home automation and wireless digital technology. But the high costs of these devices restrict many people to use the features of these tech...
In the recent years, smart electronics have seen a rapid rise in the field of home automation and wireless digital technology. But the high costs of these devices restrict many people to use the features of these technologies. In this paper, I present an economical solution for a smart speaker such as Amazon Echo Dot. The Alexa AWS is used and incorporated with Raspberry Pi 3 with a Bluetooth speaker (Logitech X100). Anyone with an internet connection can make their own Amazon Echo Dot with any speaker. This is significantly cheaper than buying the commercially available products. Moreover, this device can be interfaced with almost any electrical equipment to make a voice controlled home automation system. This paper helps readers to explore the Internet of Things without spending much money.
One of the most elementary concepts in freshmen Electrical engineering subject comprises the Resistance-Inductance-Capacitance (RLC) circuit fundamentals, that is, their time and frequency domain responses. For a begi...
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One of the most elementary concepts in freshmen Electrical engineering subject comprises the Resistance-Inductance-Capacitance (RLC) circuit fundamentals, that is, their time and frequency domain responses. For a beginner, generally, it is difficult to understand and appreciate the step and the frequency responses, particularly the resonance. This paper proposes a student-friendly teaching and learning approach by inculcating the multifaceted versatile software LabVIEW (TM) along with the educational laboratory virtual instrumentation suite hardware, for studying the RLC circuit time and frequency domain responses. The proposed approach has offered an interactive laboratory experiment where students can model circuits in simulation and hardware circuits on prototype board, and then compare their performances. The theoretical simulations and the obtained experimental data are found to be in very close agreement, thereby enhancing the conviction of students. Finally, the proposed methodology was also subjected to the assessment of learning outcomes based on student feedback, and an average score of 8.05 out of 10 with a standard deviation of 0.471 was received, indicating the overall satisfaction of the students.
The paper introduces a new form of complex fractional order proportional integral derivative (CFOPID) controller of the form D. This latest derivative of has more parameters than any of the Fractional-order PID contro...
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The paper introduces a new form of complex fractional order proportional integral derivative (CFOPID) controller of the form D. This latest derivative of has more parameters than any of the Fractional-order PID controller or conventional integer order controller. The paper demonstrates the tuning of this complex fractional order controller using Genetic Algorithm method of tuning. It further relates the results and responses got in the latter tuning method with interior point optimization tuning method (fmincon) of another research paper.
Proportional and derivative kick i.e., a large change in control action of a proportional plus integral plus derivative (PID) controller due to a sudden change in reference set-point is generally undesired in proces...
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Proportional and derivative kick i.e., a large change in control action of a proportional plus integral plus derivative (PID) controller due to a sudden change in reference set-point is generally undesired in process industry. Therefore, the structure of conventional parallel PID controller is modified to integral minus proportional derivative (I-PD) controller. In this paper, three hybrid fuzzy IPD controllers such as a fuzzy I-fuzzy PD (FI-FPD) controller and its hybrid combinations with its conventional counterpart such as fuzzy I-PD (FI-PD) and I-fuzzy PD (I-FPD) are presented in view of above industrial problem. These controllers are based upon the counterpart conventional I-PD controller and contains analytical formulae. Computer simulations are carried out to evaluate the performance of hybrid fuzzy controllers along with conventional I-PD and PID controllers for set-point tracking and disturbance rejection for an induction motor in closed loop using LabVIEWTM environment. The gains of conventional and hybrid fuzzy controllers are tuned using genetic algorithm (GA) for minimum overshoot and settling time. It has been observed that hybrid fuzzy controllers along with the conventional I-PD controller significantly remove the kick from the control action in reference set-point tracking. However, in disturbance rejection, I-PD and FI-PD controllers fail to eliminate the kick from the control signal. In contrast, FI-FPD and I-FPD controllers considerably reduced spikes from the control action in disturbance rejection. Among the conventional and hybrid fuzzy IPD controllers, FI--FPD demonstrates much better set-point tracking and disturbance rejection response with spike free control action.
This paper presents an effective design of a 2nd order infinite impulse response digital differentiator optimized using cuckoo search algorithm (CSA). In the proposed design scheme, sum of the coefficients of numerato...
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