Due to the prospect of using walking robots in an impassable environment for tracked or wheeled vehicles, walking locomotion is one of the most remarkable accomplishments in robotic history. Walking robots, however, are still being deeply researched and created. Locomotion over irregular terrain and energy consumption are among the major problems. Walking robots require many actuators to cross different terrains, leading to substantial consumption of energy. A robot must be carefully designed to solve this problem, and movement parameters must be correctly chosen. We present a minimization of the hexapod robot’s energy consumption in this paper. Secondly, we investigate the reliance on power consumption in robot movement speed and gaits along with the Cost of Transport (CoT). To perform optimization of the hexapod robot energy consumption, we propose two algorithms. The heuristic algorithm performs gait switching based on the current speed of the robot to ensure minimum energy consumption. The Red Fox Optimization (RFO) algorithm performs a nature-inspired search of robot gait variable space to minimize CoT as a target function. The algorithms are tested to assess the efficiency of the hexapod robot walking through real-life experiments. We show that it is possible to save approximately 7.7–21% by choosing proper gaits at certain speeds. Finally, we demonstrate that our hexapod robot is one of the most energy-efficient hexapods by comparing the CoT values of various walking robots.
Induction motors are characterized by non-linear, complex and time-varying dynamics therefore conventional controllers cannot ensure speed step response specifications in all speed range. This paper presents hybrid fuzzy and proportional-integral-derivative (PID) controller to improve speed control of the induction motor. Proposed Fuzzy logic controller is used to tune each gain of PID controller separately. The simulation results are presented and discussed in the study. Simulink based model of induction motor drive is used for analysis of developed electromagnetic torque and speed response. Motor performance is thereby evaluated for speed control.
Paper presents experimental and simulation results with 4 kW induction motor drive. Experiments are done using hardware in the loop real time simulation which allows implementing of motor control directly from the personal computer. This technique enables to replace part of the system with computer model running software. Regulator model was simulated in Matlab/Simulink. PI and PID regulators were tested. Experimental and simulation results starting and loading the motor are elaborated.
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