317 results about "Feedback controller" patented technology

The present invention relates to the technical field of circuit control, and relates to a direct-current high-voltage generator regulation and control method and system based on intelligent feedback. A fuzzy control logic operation is performed on an output current flux value and an input voltage fluctuation factor of a load experimental object, so as to obtain the disturbance amplitude of a voltage fluctuation state for a current flux change trend; if a step-up transformer can execute a PID control technology by adjusting a transformation ratio, PID real-time adjustment parameters are calculated, and a crossover mutation operation of individuals is performed on the basis of a fitness function, so as to generate a first boost regulation and control scheme; and if the step-up transformer cannot execute the PID control technology by adjusting the transformation ratio, a calibrated state feedback controller is constructed on the basis of a state variable of the current step-up transformer and an adjustment signal output amplitude, so as to generate a second boost regulation and control scheme. The present invention achieves intelligent feedback regulation and control by independently analyzing components of direct-current high-voltage generators, improving the stability and accuracy of outputting high-voltage direct current.

The present invention relates to adaptive multi-state encoding and processing in virtualized computing environments. The system includes a virtualized state selection module that dynamically transitions between binary, ternary, quaternary, and higher-order encoding states based on workload, bandwidth, security posture, and compliance requirements. A virtual encoding engine utilizes hardware-accelerated components, such as vFPGAs, vGPUs, and cTPUs, to enhance encoding throughput. A compliance-driven feedback controller continuously monitors encoding efficiency, threat levels, and adherence to mandates such as GDPR, HIPAA, and FIPS 140-3. Additional features include AI-based anomaly detection, federated model refinement, distributed ledger-backed audit trails, and quantum-resistant encoding techniques. By integrating intelligent encoding decisions with scalable compliance enforcement, the system enables high-performance, secure, and regulation-ready data processing across distributed cloud and edge environments, delivering measurable improvements in system responsiveness, data integrity, and operational trust.

The invention provides an automatic energy-saving control method and device for a ring cooling fan based on load feedback, relates to the field of ring cooling fans, and solves the technical problem of delay of regulation and control in an energy-saving working state. The method comprises the steps that working condition data are input into a preset powder box model, and a feed-forward air volume instruction is obtained through calculation; and inputting the working condition data into a state observer to obtain an optimal estimated temperature value. And the deviation between the optimal estimated temperature value and a preset temperature set value is calculated, and a feedback air volume compensation instruction is obtained through calculation of a feedback controller according to the deviation. And fusing the feed-forward air volume instruction and the feedback air volume compensation instruction to obtain a final air volume control instruction, and issuing the final air volume control instruction to a fan frequency converter for execution. And continuously monitoring the numerical value and the change trend of the feedback air volume compensation instruction, taking the feedback air volume compensation instruction as a prediction error signal of the powder box model, and adaptively adjusting key thermal parameters in the powder box model. The method is used in the control process of the ring cooling fan.

The invention provides an LED lamp adaptive speed regulation heat dissipation method and system based on real-time junction temperature monitoring. The method comprises the following steps: S100, acquiring a PWM signal or an analog signal of an LED driving command signal in real time; s200, on the basis of the change of the driving instruction signal, feedforward prediction is carried out by using a dynamic thermal inertia mapping model, and a feedforward fan control quantity is generated; s300, LED junction temperature is monitored in real time through a forward voltage method, and feedback fan control quantity is generated through a feedback controller according to the deviation between the real-time junction temperature and the target junction temperature; and S400, synthesizing the feedforward control quantity and the feedback control quantity to generate a fan PWM control signal, outputting the fan PWM control signal to a fan driving circuit, and adjusting the rotating speed of the cooling fan. According to the method, driving signals and junction temperature information are processed in parallel, and feedforward and feedback control is combined, so that self-adaptive accurate regulation and control are realized, thermal load change is quickly responded, system lag is effectively inhibited, and LED heat dissipation performance is optimized.

The invention discloses a miniature proportional valve control method based on active-disturbance-rejection control, and relates to the technical field of miniature proportional valve control, and the method comprises the steps that a target flow set value is received and is used as a control signal to be sent to a control unit, and the control unit comprises a tracking differentiator, an expansion state observer and a nonlinear feedback controller; the tracking differentiator processes the target flow set value to obtain a differential input signal; the expansion state observer receives the differential input signal and the actual flow feedback signal, and estimates the total disturbance of the system in real time to obtain a disturbance estimation value; the non-linear feedback controller combines the differential input signal and the disturbance estimation value to generate a compensation current signal; the compensation current signal is used as a control parameter of the micro proportional valve, and the position of the valve element is accurately adjusted. An active disturbance rejection control algorithm is adopted, the control performance and disturbance rejection are improved, accurate flow control of the micro proportional valve is achieved, and the micro proportional valve is more suitable for industrial application with high requirements.

The present application relates to a kind of vehicle steering body posture and control method of handling stability, comprising the following steps: the signal input required for control is collected, vehicle total anti-lateral moment is calculated by body posture feedforward-feedback controller, front and rear axle anti-roll moment distribution ratio is calculated by handling stability feedforward-feedback controller, total anti-roll moment and its front and rear axle distribution ratio are calculated, revised by control comprehensive module, finally output each suspension angle vertical force control instruction of vehicle.The present application has the following advantages:1) vehicle body posture control and handling stability control are comprehensively considered, and both are simultaneously optimized;2) vehicle body posture control and handling stability control both use feedback-feedforward, avoid the problem of pure feedforward control or feedback control, so that the overall performance of vehicle is more "natural";3) steering input and road input are decoupled, and four high sensors are saved.

The invention discloses a denitration ammonia injection control system and method.The system comprises a feed-forward controller, an ammonia injection control unit and a control unit, and the feed-forward controller is used for calculating the theoretical ammonia injection amount according to the NOx concentration of an inlet and the flue gas flow speed; the inlet NOx abrupt change pre-judgment controller is used for predicting the change trend of the inlet NOx concentration through a machine learning model based on the historical operation data of the equipment and outputting a preset ammonia injection amount; the feedback controller is used for performing closed-loop correction according to the deviation between the measured value and the set value of the NOx concentration of the exhaust port and outputting the compensated ammonia spraying amount; the exhaust port NOx abrupt change pre-judgment controller is used for monitoring the change rate of the exhaust port NOx concentration, triggering an emergency ammonia spraying mode when the abrupt change working condition is recognized, and outputting the emergency ammonia spraying amount; the jitter elimination controller is used for carrying out filtering and step length limitation on the total output of the controller so as to generate a stable final ammonia spraying total amount control instruction; and the execution unit is used for receiving and executing the final total ammonia spraying amount control instruction. The system can accurately control the total amount of sprayed ammonia.

The invention discloses a hydroelectric generating set power active control method, system and device based on frequency prediction and a medium, and belongs to the technical field of power control, and the method comprises the steps: collecting basic operation data of a hydroelectric generating set adjusting system in real time, and carrying out the preprocessing of the basic operation data; time sequence characteristics of the power grid frequency data are extracted, and a neural network is adopted to generate a power grid frequency prediction sequence in a future time window; the power grid frequency prediction sequence is converted into a dynamic power feed-forward compensation amount, feed-forward compensation amount optimization calculation is carried out, the feed-forward compensation amount is superposed to the output end of a feedback controller, and a composite power instruction input value hydroelectric generating set is formed; and updating a neural network input sequence in each control period by adopting a rolling time domain prediction strategy, dynamically correcting a future prediction result, and realizing controlled quantity updating based on actual frequency deviation. According to the method, the compensation weight is dynamically updated by using the online adaptive algorithm, the prediction error and the system performance target are considered, and the compensation amount distribution is optimized.

The present invention provides a computer system and a computer-implemented method for adaptive quality management in artificial intelligence (AI) processing. The system comprises a memory unit storing machine-readable instructions and a processor configured to execute the instructions to store, in a persistent correction memory, records of prior corrections to AI outputs; retrieve a correction for a current input based on similarity between the input and stored records; generate, by an audit-trail module, a tamper-evident record of the correction and its application; schedule, by a predictive resource manager, AI workloads in dependence on service-level constraints, carbon-intensity data, and quality metrics; and update, by a feedback controller, retrieval and scheduling parameters based on effectiveness information. The processor thereby enables the persistent correction memory, audit-trail module, predictive resource manager, and feedback controller to operate as a closed-loop adaptive system that reduces recurrence of AI errors, ensures verifiable auditability, and optimizes computational efficiency.

The invention discloses a periodic disturbance compensation method and device for an input time delay system, equipment and a medium, and relates to the field of disturbance control, and the method comprises the steps: obtaining a state-space equation of the input time delay system; according to the state-space equation of the input time-delay system, converting the input time-delay system into a non-input time-delay system by adopting a time-delay compensation method; based on the error signal of the no-input time delay system, estimating the value of the to-be-determined parameter by adopting an internal model principle and a linear regression method to obtain an estimated value of the to-be-determined parameter; and determining a control input signal of the zero-input time-delay system by adopting the feedback controller according to an output signal of the zero-input time-delay system and the to-be-determined parameter estimation value so as to perform periodic disturbance compensation on the zero-input time-delay system. The feedback controller is adopted to perform feedback control on the control input signal according to the output signal of the system, and compensation of unknown time-varying periodic disturbance of the input time delay system can be realized.

The invention discloses a double-feedback control debugging method of an ultra-precision servo system, and relates to the technical field of semiconductor manufacturing equipment. In order to solve the defects that in the prior art, coupling interference is serious in the debugging process, frequency domain performance optimization is insufficient, filter configuration does not have adaptivity, and an efficient anti-interference debugging mechanism under multi-source disturbance is lacked, the technical scheme provided by the invention comprises the steps that a double-feedback servo system comprising a speed ring and a position ring is constructed; debugging a speed feedback loop, optimizing controller gain parameters based on frequency domain analysis, and outputting speed loop response characteristics; a position feedback loop is debugged, and position loop controller parameters are configured in combination with speed loop response and acceleration sensor signals; the notch filter is automatically adjusted according to the dynamic vibration characteristics; and frequency domain self-adaptive debugging of the double-feedback controller is completed. The method is suitable for servo control debugging work of high-precision motion systems such as a wafer carrying table in semiconductor manufacturing equipment, and is especially suitable for nanoscale positioning scenes such as a photoetching machine and measuring equipment.

The invention discloses a low-voltage-crossing adaptive control method and device of a wind turbine generator, electronic equipment and a medium, and aims to solve the problems of slow system recovery, voltage overshoot and current out-of-limit in the current low-voltage-crossing control technology. The method comprises the following steps: acquiring running state data of a wind turbine generator at a grid-connected point in a low-voltage period in real time, and calculating a system short-circuit ratio according to the running state data; considering a power adjustment coefficient, and constructing a current feedback controller based on the operation state data; introducing an adaptive weighting strategy of a system short-circuit ratio, and combining a power adjustment coefficient to construct a multi-objective optimization function; the multi-objective optimization function is subjected to parameter optimization solution combined with system short-circuit ratio self-adaptive correction, and an optimized power adjustment coefficient is obtained; and substituting the optimized power adjustment coefficient into a current feedback controller, solving a control current value, and performing current control on the wind turbine generator based on the control current value.

The invention belongs to the technical field of computer vision and intelligent sensing, particularly relates to a positioning system for monitoring blind area multi-sensor space-time calibration, and aims to solve the problems of monitoring blind areas and track breakage caused by non-uniform space-time reference of multi-source heterogeneous sensors. The system comprises a space-time reference generation unit, distributed sensing nodes, a joint calibration engine, a real-time positioning calculation module and a self-adaptive feedback controller. Through nanosecond time synchronization, space registration based on a static landmark and a mobile calibration carrier and a dynamic re-calibration mechanism of closed loop feedback, continuous smooth trajectory output of cross-device target tracking is realized. The system supports layered architecture and block chain evidence storage, improves expandability and security, and is suitable for smart cities and industrial automation scenes.

The invention relates to an unmanned aerial vehicle attitude control method based on motor state disturbance compensation, belongs to the technical field of unmanned aerial vehicle control, and solves the problems of hysteresis and limited control effect of an existing unmanned aerial vehicle attitude control method. The position controller calculates to obtain expected tension, a roll angle and a pitch angle; the attitude feedback controller calculates a feedback torque according to the expected attitude, the actual Euler angle and the body angular velocity; the load identification module calculates an estimated disturbance torque based on the target rotating speed, the actual rotating speed and the current of each motor; the feedforward neural network module adopts a trained RBF neural network to calculate torque residual error estimation, and torque synthesis is carried out to obtain a torque feedforward compensation amount; adding the feedback torque and the feed-forward compensation amount to obtain a total control torque; and the mixing controller calculates the target rotating speed of each motor according to the expected tension and the total control torque, and finally the control distributor drives the motors to execute. The attitude stability and the control response speed of the unmanned aerial vehicle in the wind disturbance environment are remarkably improved.

A computing system for functional integration with a distributed power grid having one or more inverters. The computing system includes processing device(s) to control operation of an inverter by executing a feedback controller with a grid-tied line, of the distributed power grid, treated as a plant and including a unified algebraic control system operating based on a pair of closed-loop variables carried in closed-loop signals of the unified algebraic control system. The processing device(s) control, using the feedback controller, transitions of the inverter between a plurality of operating modes by adjusting a magnitude of the closed-loop signals, which correspond to the pair of closed-loop variables, towards a setpoint of a plurality of setpoints. Each setpoint corresponds to a different operating mode of the plurality of operating modes.

The invention discloses a curved surface film covering flatness self-adaptive control method based on machine vision, and relates to the technical field of mechanical arm control. The system comprises a machine vision sensing module, a robot end effector, a composite controller and a distributed clamping jaw array. The method comprises the following steps: acquiring a fringe projection image sequence and dynamic trajectory data of an end effector; performing phase calculation and three-dimensional reconstruction on the image sequence, constructing a digital elevation model and calculating flatness error data; inputting the dynamic trajectory data into a feedforward controller to generate a compensation instruction, inputting the flatness error data into a feedback controller to generate a correction instruction, and superposing to obtain a comprehensive correction instruction; and acquiring a strain sensitivity matrix, distributing the comprehensive correction instruction into displacement execution parameters of each clamping jaw by utilizing pseudo inverse operation, and issuing and executing the displacement execution parameters. According to the method, real-time sensing and active intervention of dynamic deformation are realized, and the yield and batch consistency of curved surface film coating are remarkably improved.

The invention discloses a multi-unmanned aerial vehicle cluster stochastic prediction control method and device based on anti-saturation and packet loss compensation, and the method comprises the steps: building a closed-loop control model of a stochastic system based on a pilot-following multi-unmanned aerial vehicle cluster architecture; through a Markov chain modeling data transmission packet loss process, a forgetting factor is introduced to design a packet loss compensation strategy after random data is randomly lost so as to correct a closed-loop control model of a random system; aiming at the corrected closed-loop control model of the following stochastic system, constructing an anti-actuator saturation control law through convex representation of a saturation function, and further constructing a saturation-limited following stochastic augmentation prediction model; solving a predictive control problem on line based on a random augmentation predictive model; and the control performance index is controlled through rolling optimization, the gain of the feedback controller is updated, and anti-saturation random prediction control following with random following in a packet loss environment is realized. According to the method, the coupling influence of data transmission packet loss and actuator saturation can be effectively solved, and the system performance weakness caused by single problem processing is avoided.

To improve responsiveness while reducing the effect of noise, a valve control method for controlling a valve of a fluid control device includes generating a target response function converted from the flow rate setting using a target response transfer function; generating a target voltage function by making a correction in nonlinearity of a drive voltage for the valve and a flow rate, with respect to the target response function; generating a feedforward voltage signal from the target voltage function by making a correction corresponding to the delay characteristic of the valve; causing a feedback controller to generate a feedback voltage signal from a deviation between the target response function and a flow rate measurement of a flow rate sensor; generating a corrected command voltage signal using a feedforward voltage signal and the feedback voltage signal; and controlling the valve using the corrected command voltage signal.

A feedforward-feedback controller for integrated temperature and pressure control of a building space includes one or more processing circuits. The one or more processing circuits are configured to generate a supply air flow rate setpoint using a combined feedforward-feedback control process that (i) proactively compensates for a feedforward air flow disturbance in the building space and (ii) reactively compensates for a feedback air pressure error in the building space, generate a supply air temperature setpoint using a predictive temperature model that predicts the supply air temperature setpoint required to achieve a zone temperature setpoint for the building space when supply air is provided to the building space at the supply air flow rate setpoint and the supply air temperature setpoint, and operate building equipment to provide the supply air to the building space at the supply air flow rate setpoint and the supply air temperature setpoint.

The invention provides a control method and system for a five-degree-of-freedom marine crane under a non-inertial system, and relates to the technical field of automatic control of cranes. The method comprises the following steps: acquiring a real-time state variable of the crane under a non-inertial system; the state variables are input into a self-adaptive radial basis function neural network, a lumped disturbance estimated value is obtained, and the neural network is designed based on a five-degree-of-freedom dynamical model established by utilizing a Lagrange equation and a virtual work principle under a ship coordinate system and considering ship six-degree-of-freedom motion and installation position offset; calculating a tracking error function according to the state variable and the expected trajectory; and inputting the disturbance estimation value and the error function into a feedback controller, calculating to generate a control torque, and outputting the control torque to an execution mechanism to drive the crane to track an expected trajectory and suppress load swing. According to the method, direct modeling and control under a non-inertial system are realized, the problems of coordinate transformation disturbance and singularity caused by inertial system modeling are solved, and the trajectory tracking precision and the anti-interference robustness are improved.

A computer-implemented method for monitoring a workpiece being manufactured using an automated welding system. These technologies can real-time monitor, read, or interrogate a workpiece or a substrate on which the workpiece is positioned, as the workpiece is moved past a directed energy source, or vice versa. The method can be used with an automated welding system for standoff distance monitoring and control, which can be responsive, dynamic, and in real-time. These technologies can use a feedback controller to responsively and dynamically control the standoff distance in real-time based on data from the standoff distance measurement system.

The invention discloses an AI marking closed-loop method based on active learning and difficult case mining, and the method comprises the steps: carrying out the parallel calculation of uncertainty, representativeness and diversity three-dimensional value indexes after training an initial model, and carrying out the dynamic weighting screening of a high-value sample through a closed-loop feedback controller; difficult cases are recognized, DBSCAN clustering is adopted, similar sample expansion is retrieved, and the samples are stored in a dynamic pool; annotations are distributed, intelligent judgment is triggered for dispute samples after consistency verification, and labels are determined by fusing node reputation, model confidence and feature similarity; a mixed loss function is adopted for incremental training, and if the performance does not reach the standard, sampling, difficult examples and training parameters are adjusted in a linkage mode and then retry is conducted; the effectiveness of the difficult cases is evaluated after each round of iteration, the invalid difficult cases are eliminated, redundant clusters are combined, and the pool capacity is adaptively maintained; and the performance of the monitoring model is iteratively optimized until the standard is reached. According to the method, the labeling cost is reduced, and the boundary sample and long tail category recognition capability is improved.

The invention is suitable for the field of tracking rotary tables, and provides a tracking rotary table follow-up adjustment control system and method based on dynamic identification, and the method comprises the steps: building a discretization mathematical model of a tracking rotary table servo system; running a recursive least square algorithm with a variable forgetting factor by using the collected running state data; the equivalent rotational inertia and the total viscous friction coefficient are obtained based on identification; adjusting the gain of a feedback controller in real time according to the equivalent rotational inertia obtained by identification and a preset system closed-loop bandwidth index; carrying out superposition synthesis on the feedforward compensation torque and the feedback control torque, and carrying out parameter validity verification and amplitude safety verification on the synthesized control quantity to generate a motor driving signal for driving a tracking turntable to eliminate tracking errors; by means of variable forgetting factor identification and a composite control strategy, the problems of load time varying and nonlinear interference are solved, bandwidth constant keeping and zero phase lag tracking are achieved, and dynamic response and steady state precision are remarkably improved.

A ride-on power trowel has first and second engines mounted to a rigid frame. Each of first and second drive loops have a hydraulic pump powered by such an engine and a drive motor powered by the hydraulic pump. Rotor assemblies are coupled to the drive motors and configured to contact a concrete surface beneath the frame. A feedback controller sets rotor speed in each assembly to a power limited speed based on loads sensed in the drive loops. The power limited speed is an estimated maximum rotor speed achievable for the highest sensed load, which may be affected by operating data received from the engine associated with the highest sensed load.

A dynamic wireless charging system optimal control method based on accurate output regulation comprises the following steps: constructing an external system capable of generating an interference signal and a reference signal by using an accurate output regulation theory and aiming at the interference and constant reference voltage suffered by an energy receiving end Boost type DC-DC converter in an electric vehicle dynamic wireless charging system; therefore, a system control problem is converted into an output adjustment problem; and designing a state feedback controller based on the constructed external system and the mathematical model of the DC-DC converter, optimizing a state feedback gain parameter by means of a linear quadratic regulator (LQR), and finally obtaining an optimal state feedback controller. According to the method, the influence of large-range energy disturbance caused by movement of the electric vehicle on the system can be effectively restrained, optimal adjustment of system output can be achieved, and the method has practical engineering application prospects.

This invention discloses an asynchronous, non-fragile H∞ control method and system for a rotating inverted pendulum, belonging to the field of robust control technology for DC motor rotating inverted pendulums. Addressing the problems of modal asynchrony, controller gain perturbation, time-varying delay, and quantization error in DC motor rotating inverted pendulum systems, this invention proposes an asynchronous, non-fragile H∞ control framework. The main steps include: constructing a Markov jump singular perturbation system model with time-varying delay and variable quantization density; designing an asynchronous, non-fragile output feedback controller for the rotating inverted pendulum, compatible with controller gain perturbation and quantization uncertainty; and deriving the linear matrix inequality conditions through modal-dependent Lyapunov functions to ensure the system's exponential stability in finite time and to meet the preset H∞ performance index. This invention can effectively improve the robustness and stability of DC motor rotating inverted pendulums under attack and parameter perturbation scenarios.

The invention discloses an in-ring and out-ring matched single-arm locking system and method, and the method comprises the following steps: starting laser from a spacecraft A, and transmitting the laser to a spacecraft B and a spacecraft C; light transmitted to the spacecraft B and the spacecraft C through link delay is subjected to weak light phase locking and then returns; the returned laser is converged with non-delayed light of the spacecraft A after being subjected to link delay again; the converged light returned from the spacecraft B is fed back to the spacecraft A for in-loop suppression after passing through a feedback controller; and the converged light returned from the spacecraft C is subjected to out-of-loop phase output. According to the invention, a single-arm locking system with in-ring and out-ring matching is constructed by selecting a proper out-ring measurement point and adopting an in-ring suppression and out-ring measurement method. The effects that the laser frequency noise can be remarkably suppressed within the full-scientific frequency band range (0.1 mHz-1 Hz), and gravitational wave signals can be amplified while noise of other technologies is suppressed are achieved.

The invention discloses an earth pressure balance shield machine earth cabin pressure robust tracking control method and system based on adaptive dynamic programming, and the method comprises the following steps: collecting historical operation data of an earth cabin pressure system of an earth pressure balance shield machine, and carrying out the preprocessing of the historical operation data, and obtaining the preprocessed data; performing dynamic modeling on the soil cabin pressure system by using the preprocessed data, constructing an RBF-ARX model, and optimizing the RBF-ARX model; the optimized RBF-ARX model is reconstructed, and a state space model is obtained; then constructing a comprehensive controller comprising a steady-state controller and a disturbance feedback controller; and converting the state space model into an equivalent nominal system through a utility function, then constructing an optimality equation of dynamic programming, learning a control strategy through an adaptive dynamic programming method, and obtaining approximate optimal control input of the nominal system.

The application provides a control method of a tension adjusting device on a composite copper foil continuous production line, comprising the following steps: obtaining a tension set value and a tension actual value of adjacent workstations on the composite copper foil continuous production line, and calculating a difference value between the tension set value and the tension actual value to obtain tension deviation data; in the process of adjusting the tension between the adjacent workstations, it is judged whether the copper foil appears to snake, if the copper foil appears to snake, the copper foil snake deviation data is fed back to a feedforward compensation function and a feedback controller to cooperatively adjust the control of the tension; on the basis of balancing the tension between the adjacent workstations, the running parameters of each workstation of the composite copper foil continuous production line are collected in real time, a production line running mathematical description function is established; and the control parameters of the production line running are optimized in combination with preset rules in a preset knowledge base.

Embodiments described herein relate to an apparatus that includes a stepper motor, a driver chip communicatively coupled to the stepper motor, an encoder communicatively coupled to the stepper motor, and a feedback controller communicatively coupled to the driver chip and the encoder. In an embodiment, the feedback controller includes a state space plant configured to receive a control signal and generate a vector including a position and velocity of the stepper motor. In an embodiment, the feedback controller further includes a pulse width modulation (PWM) converter configured to receive the vector and output a first PWM signal corresponding to a number of steps to drive the stepper motor and a second PWM signal corresponding to a direction of the number of steps of the stepper motor. In an embodiment, the feedback controller further includes a Luenberger observer configured to receive a feedback signal from the encoder.